US20130027036A9 - Magnetic resonance imaging apparatus and method - Google Patents

Magnetic resonance imaging apparatus and method Download PDF

Info

Publication number
US20130027036A9
US20130027036A9 US13/338,416 US201113338416A US2013027036A9 US 20130027036 A9 US20130027036 A9 US 20130027036A9 US 201113338416 A US201113338416 A US 201113338416A US 2013027036 A9 US2013027036 A9 US 2013027036A9
Authority
US
United States
Prior art keywords
pulse
heart rate
trigger
respiration
magnetic resonance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
US13/338,416
Other versions
US20120161765A1 (en
US9439603B2 (en
Inventor
Naoyuki Takei
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
General Electric Co
GE Medical Systems Global Technology Co LLC
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Assigned to GE HEALTHCARE JAPAN CORPORATION reassignment GE HEALTHCARE JAPAN CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: TAKEI, NAOYUKI
Assigned to GE MEDICAL SYSTEMS GLOBAL TECHNOLOGY COMPANY, LLC reassignment GE MEDICAL SYSTEMS GLOBAL TECHNOLOGY COMPANY, LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: GE HEALTHCARE JAPAN CORPORATION
Publication of US20120161765A1 publication Critical patent/US20120161765A1/en
Publication of US20130027036A9 publication Critical patent/US20130027036A9/en
Assigned to GENERAL ELECTRIC COMPANY reassignment GENERAL ELECTRIC COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: GE MEDICAL SYSTEMS GLOBAL TECHNOLOGY
Application granted granted Critical
Publication of US9439603B2 publication Critical patent/US9439603B2/en
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7285Specific aspects of physiological measurement analysis for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/563Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution of moving material, e.g. flow contrast angiography
    • G01R33/5635Angiography, e.g. contrast-enhanced angiography [CE-MRA] or time-of-flight angiography [TOF-MRA]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/567Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution gated by physiological signals, i.e. synchronization of acquired MR data with periodical motion of an object of interest, e.g. monitoring or triggering system for cardiac or respiratory gating
    • G01R33/5673Gating or triggering based on a physiological signal other than an MR signal, e.g. ECG gating or motion monitoring using optical systems for monitoring the motion of a fiducial marker
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/113Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing
    • A61B5/1135Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb occurring during breathing by monitoring thoracic expansion
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5602Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by filtering or weighting based on different relaxation times within the sample, e.g. T1 weighting using an inversion pulse
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5607Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by reducing the NMR signal of a particular spin species, e.g. of a chemical species for fat suppression, or of a moving spin species for black-blood imaging

Abstract

A magnetic resonance imaging apparatus configured to carry out a pulse sequence in synchronization with a biosignal is provided. The pulse sequence includes an RF pulse, and a data acquisition sequence for acquiring data when a wait time has passed after the RF pulse, wherein the wait time has a variable value that can be varied based on the biosignal.

Description

    CROSS REFERENCE TO RELATED APPLICATIONS
  • This application claims the benefit of Japanese Patent Application No. 2010-292725 filed Dec. 28, 2010, which is hereby incorporated by reference in its entirety.
  • BACKGROUND OF THE INVENTION
  • The present invention relates to a magnetic resonance imaging apparatus that carries out a pulse sequence in synchronization with a biosignal.
  • As methods for acquiring an image of a blood flow in the abdomen of a subject, respiratory gating method and heart rate gating method are known. In the respiratory gating method, a pulse sequence is carried out in synchronization with respiration signals. In the heart rate gating method, a pulse sequence is carried out in synchronization with heart rate signals. (See, e.g., Japanese Unexamined Patent Application Publication No. 2008-148806 and Japanese Unexamined Patent Application Publication No. 2010-220859.)
  • In the respiratory gating method, the respiration of a subject is detected and the timing with which a pulse sequence is carried out is determined so that data can be acquired during a period for which body motion arising from respiration is small. However, if the respiration of a subject becomes irregular during scanning, data cannot be acquired during a period for which the body motion is small and the image quality may be degraded.
  • In the heart rate gating method, the heart rate of a subject is detected and the timing with which a pulse sequence is carried out is determined so that data can be acquired during a desired period of cardiac phase (for example, diastole). However, if the heart rate becomes irregular because of such a cause as arrhythmia during scanning, data cannot be acquired during a desired period of cardiac phase and the image quality may be similarly degraded.
  • Therefore, an image whose quality is not degraded so much even though the respiration or heart rate of a subject becomes irregular during scanning is desired.
  • SUMMARY OF THE INVENTION
  • A magnetic resonance imaging apparatus that carries out a pulse sequence in synchronization with a biosignal is provided.
  • The pulse sequence includes an RF pulse, and a data acquisition sequence for acquiring data when a wait time has passed after the RF pulse.
  • The wait time takes a variable value that can be varied based on the biosignal.
  • The start timing of a data acquisition sequence can be adjusted by providing the wait time with a variable value that can be varied based on a biosignal. Therefore, degradation in image quality can be reduced.
  • Further advantages will be apparent from the following description of exemplary embodiments of as illustrated in the accompanying drawings.
  • BRIEF DESCRIPTION OF DRAWINGS
  • FIG. 1 is a schematic diagram of a magnetic resonance imaging apparatus in a first embodiment.
  • FIGS. 2A and 2B are drawings showing a case where a subject 14 is scanned.
  • FIGS. 3A and 3B are drawings showing the relation between a respiration signal Resp and a pulse sequence PS.
  • FIGS. 4A-4C are drawings showing the result of simulation.
  • FIG. 5 is a diagram showing an MRI apparatus in a second embodiment.
  • FIGS. 6A and 6B are drawings showing the relation between a heart rate signal PSD and a pulse sequence PS.
  • FIG. 7 is a diagram showing an MRI apparatus in a third embodiment.
  • FIGS. 8A and 8B are drawings showing the relation between a respiration signal Resp, a heart rate signal PSD, and a pulse sequence PS in the third embodiment.
  • FIGS. 9A and 9B are drawings showing the relation between a respiration signal Resp, a heart rate signal PSD, and a pulse sequence PS in a fourth embodiment.
  • DETAILED DESCRIPTION OF THE INVENTION
  • Hereafter, exemplary embodiments will be described with reference to the drawings. However, the invention is not limited to the embodiments specifically described herein.
  • First Embodiment
  • FIG. 1 is a schematic diagram of a magnetic resonance imaging apparatus in the first embodiment.
  • The magnetic resonance imaging (“MRI”) apparatus 100 includes a magnetic field generator 2, a table 3, a bellows 4, a receiving coil 5, and the like.
  • The magnetic field generator 2 includes a bore 21 in which a subject 14 is placed, a superconducting coil 22, a gradient coil 23, and a transmitting coil 24. The superconducting coil 22 applies a static magnetic field B0, the gradient coil 23 applies a gradient pulse, and the transmitting coil 24 transmits an RF pulse.
  • The table 3 has a cradle 31 for carrying the subject 14. The subject 14 is carried into the bore 21 by the cradle 81.
  • The bellows 4 acquires respiration signals from the subject 14.
  • The receiving coil 5 is installed over the chest and abdomen of the subject 14 and receives magnetic resonance signals from the subject 14.
  • The MRI apparatus 100 further includes a sequencer 6, a transmitter 7, a gradient magnetic field power supply 8, a trigger generation unit 9, a receiver 10, a central processing unit 11, an operating portion 12, and a display 13.
  • Under the control of the central processing unit 11 and the like, the sequencer 6 sends information for acquiring an image of the subject 14 to the transmitter 7 and the gradient magnetic field power supply 8.
  • The transmitter 7 drives the transmitting coil 24 based on information sent from the sequencer 6.
  • The gradient magnetic field power supply 8 drives the gradient coil 23 based on information sent from the sequencer 6.
  • The trigger generation unit 9 generates a respiration synchronization trigger based on a respiration signal from the bellows 4.
  • The receiver 10 carries out various processing on a magnetic resonance signal received at the receiving coil 5 and transmits it to the central processing unit 11.
  • The central processing unit 11 controls the operation of each part of the MRI apparatus 100 so that the various operations of the MRI apparatus 100 are performed. Examples of such operations include transmitting required information to the sequencer 6 and the display 13, reconstructing an image based on a signal received from the receiver 10, and the like.
  • The operating portion 12 inputs various commands to the central processing unit 11 in accordance with operation by an operator 15. The display 13 displays varied information.
  • An image of the subject 14 is acquired using the MRI apparatus 100 configured as mentioned above.
  • FIGS. 2A and 2B are diagrams showing a case where the subject 14 is scanned.
  • FIG. 2A is a diagram schematically showing an image acquisition region of the subject, and FIG. 2B is a diagram showing an example of a pulse sequence PS used when the subject 14 is scanned.
  • In the first embodiment, a scan for representing arterial blood 14 b in an image acquisition region R embracing the kidney 14 c is carried out utilizing the inflow effect of the arterial blood 14 b from the heart 14 a. During this scan, the pulse sequence PS is repeatedly carried out as shown in FIG. 2B.
  • Each pulse sequence PS includes a selective inversion pulse SIR (Selective Inversion Recovery), a fat suppression pulse PFAT, and a data acquisition sequence DAQ.
  • The selective inversion pulse SIR is a pulse that inverts the longitudinal magnetization of the tissue (arterial blood, venous blood, fat, muscle, and the like) of an inverted region ESIR of the subject 14. When a wait time W (inversion time) has passed after the selective inversion pulse SIR, the data acquisition sequence DAQ for acquiring data on the image acquisition region R is carried out. Examples of the data acquisition sequence are 3D FSE (Fast Spin Echo) and FIESTA (Fast Imaging Employing Steady state Acquisition). The heart 14 a is located outside the inverted region RSIR; therefore, the arterial blood in the heart 14 a remains with the longitudinal magnetization M=1 even though a selective inversion pulse SIR is transmitted. During the wait time W, therefore, the arterial blood 14 b with the longitudinal magnetization M=1 flows from the heart 14 a into the image acquisition region R. Therefore, an MRI image in which arterial blood is emphatically represented and background tissue (venous blood and the like) is suppressed can be obtained by carrying out the data acquisition sequence DAQ. A fat suppression pulse PFAT is transmitted immediately before the data acquisition sequence DAQ. Therefore, the fat signals from the image acquisition region R can be effectively suppressed. Examples of the fat suppression pulse PFAT are SPECIR (Spectrally Selected IR) and STIR (Short-TI IR).
  • In each pulse sequence PS, the wait time W has a variable value that can be varied based on a respiration signal from the subject 14. As the result of providing the wait time W with a variable value, image data in which body motion artifacts arising from respiration are sufficiently reduced can be acquired even though the respiration of the subject becomes irregular while an image of the subject is being acquired. Hereafter, description will be given to the reason for this.
  • FIGS. 3A and 3B are drawings showing the relation between a respiration signal Resp and a pulse sequence PS.
  • FIG. 3A is a drawing showing a pulse sequence PS in the case of respiratory cycle Ta, and FIG. 3B is a drawing showing a pulse sequence PS in the case of respiratory cycle Tb (<Ta).
  • First, FIG. 3A will be described.
  • The trigger generation unit 9 (Refer to FIG. 1) detects a peak of the respiration signal Resp based on the signal value of the respiration signal Resp. In FIG. 3A, the peak P0 of the respiration signal Resp occurs at time t0, therefore, the trigger generation unit 9 detects the peak P0. When the trigger generation unit 9 detects the peak P0, it generates a first respiration synchronization trigger TGresp1 for transmitting the selective inversion pulse SIR. The first respiration synchronization trigger TGresp1 may be generated at the position of the peak P0 or may be generated temporally behind the peak P0. In the first embodiment, the first respiration synchronization trigger TGresp1 is generated temporally behind the peak P0.
  • When the first respiration synchronization trigger TGresp1 is generated, the selective inversion pulse SIR is transmitted in synchronization with the first respiration synchronization trigger TGresp1. The longitudinal magnetization of tissue contained in the inverted region RSIR (Refer to FIG. 2A) is inverted by the selective inversion pulse SIR. In FIG. 3A, venous blood is shown as the tissue whose longitudinal magnetization is inverted by the selective inversion pulse SIR.
  • After transmitting the selective inversion pulse SIR, the trigger generation unit 9 generates a second respiration synchronization trigger TGresp2 for carrying out the data acquisition sequence DAQ while the body motion of the subject 14 arising from respiration is small. The second respiration synchronization trigger TGresp2 can be generated, for example, when the signal value of the respiration signal Resp is lowered to S2. The value of the signal value S2 can be represented by, for example, Expression (1) below:

  • S 2 =k(S 0 −S base)   (1)
  • where, k is a coefficient, S0 is the signal value of the peak P0 of the respiration signal Resp, and Sbase is the base line of the respiration signal Resp.
  • The base line Sbase of the respiration signal Resp represents a signal value at the time when the body motion of the subject 14 arising from respiration is sufficiently small. The base line Sbase is calculated beforehand based on, for example, the respiration signal Resp before time t0. For example, Expression (1) is converted into the following expression when the base line Sbase=0:

  • S 2 =k×S 0   (2)
  • Therefore, the signal value S2 can be determined by k and S0. With respect to the value k, for example, k=0.1 can be taken. When k=0.1, S2=0.1×S0. Therefore, the second respiration synchronization trigger TGresp2 is generated when the signal value of the respiration signal Resp is lowered by 90% from the peak value S0. Therefore, the second respiration synchronization trigger TGresp2 can be generated when the respiration signal Resp gets sufficiently close to the base line Sbase.
  • When the second respiration synchronization trigger TGresp2 is generated, the fat suppression pulse PFAT is transmitted and the data acquisition sequence DAQ is carried out. In FIG. 3A, the time interval from the second respiration synchronization trigger TGresp2 to when the data acquisition sequence DAQ is started is indicated by symbol “ttrg”, and the time interval from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started is indicated by symbol tfat.
  • The time interval ttrg from the second respiration synchronization trigger TGresp2 to when the data acquisition sequence DAQ is started is set so that the data acquisition sequence DAQ can be carried out while body motion arising from respiration is small. A fixed value determined before the subject 14 is scanned can be taken for the time interval ttrg. However, when the respiratory cycle of the subject 14 largely fluctuates during scanning, the respiratory cycle of the subject 14 may be measured periodically (for example, at intervals of more than 10 seconds to several tens of seconds) while the subject 14 is scanned, and the value of time interval ttrg may be changed based on the latest measured respiratory cycle. The time interval tfat from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started generally has a fixed value. However, the value may be changed as required.
  • The longitudinal magnetization of the venous blood in the inverted region RSIR is inverted by the selective inversion pulse SIR but it is gradually restored during the wait time W=Wa. If the respiratory cycle Ta is, for example, 4 seconds, the wait time Wa is, for example, 1.5 seconds or so. In this case, the longitudinal magnetization of venous blood has been restored to Ma at the start time is of the data acquisition sequence DAQ as indicated by the graph of longitudinal magnetization in FIG. 3A. During the wait time Wa, meanwhile, arterial blood with the longitudinal magnetization M=1 flows from the heart 14 a located outside the inverted region RSIR (Refer to FIG. 2A) into the image acquisition region R. In the image acquisition region R, therefore, the longitudinal magnetization of arterial blood is sufficiently larger than the longitudinal magnetization of venous blood at the start time ts of the data acquisition sequence DAQ. For this reason, an image in which arterial blood is emphasized more than venous blood can be obtained.
  • FIG. 3B shows a case where the respiratory cycle of the subject 14 transitions from Ta to Tb while the subject 14 is scanned. Also in FIG. 3B, the pulse sequence PS is carried out in the same manner as in FIG. 3A and accordingly, detailed description of FIG. 3B will be omitted.
  • As shown in FIGS. 3A and 3B, in the first embodiment, the second respiration synchronization trigger TGresp2 is generated when after the selective inversion pulse SIR is transmitted, the respiration signal Resp gets close to the base line Sbase. Therefore, if the respiratory cycle of the subject 14 changes during scanning, the generation timing of the second respiration synchronization trigger TGresp2 is changed in accordance with this change. As a result, the value of the wait time W of the pulse sequence is also changed. As is apparent from the comparison of FIG. 3A and FIG. 3B, the wait time W of the pulse sequence PS is W=Wa in FIG. 3A while the wait time W of the pulse sequence PS is changed to W=Wb in FIG. 3B. Therefore, the start timing of the data acquisition sequence DAQ can be adjusted by taking a variable value for the wait time W. This makes it possible to carry out the data acquisition sequence DAQ while the body motion of the subject 14 arising from respiration is small and obtain an image with reduced body motion artifacts.
  • In the first embodiment, the wait time W of the pulse sequence PS varies according to variation in the respiratory cycle of the respiration signal Resp during scanning. Therefore, the degree of restoration of the longitudinal magnetization of venous blood differs. As is apparent from the comparison of FIG. 3A and FIG. 3B, the longitudinal magnetization of venous blood is restored substantially to M=Ma in FIG. 3A while the longitudinal magnetization of venous blood is restored only to M=Mb (<Ma) in FIG. 3B. Also with respect to the background tissues (muscle, fat, and the like) other than venous blood, similarly to venous blood, the degree of restoration of longitudinal magnetization differs according to variation in the wait time W of the pulse sequence PS. Therefore, the contrast between arterial blood and background tissue may be reduced when the wait time W of the pulse sequence PS is varied. However, since the arterial blood in the image acquisition region R when the data acquisition sequence DAQ is carried out is with longitudinal magnetization M=1, it is sufficiently larger than the longitudinal magnetization of background tissue. Therefore, it is supposed that sufficient contrast can be maintained even though the wait time W of the pulse sequence PS varies. To verify this, simulation was carried out. Hereafter, description will be given to the result of this simulation.
  • FIGS. 4A-4C are drawings showing the simulation result.
  • FIG. 4A is a drawing showing the contrast between arterial blood and venous blood, FIG. 4B is a drawing showing the contrast between arterial blood and muscle, and FIG. 4C is a drawing showing contrast between arterial blood and fat.
  • The horizontal axes of FIGS. 4A-4C represent the wait time W of the pulse sequence PS and the vertical axes represent the time interval Tint between a pulse sequence PS and the next pulse sequence. (Refer to FIG. 2B.)
  • As is apparent from FIGS. 4A-4C, when the time interval Tint is, for example, 2000 (ms), even though the wait time W fluctuates between W=1400 (ms) and 1900 (ms), the contrast is not less than 0.4 and arterial blood can be sufficiently represented. Therefore, it is guessed that variation in the wait time W of the pulse sequence PS has relatively little influence on image quality.
  • The pulse sequence PS includes a fat suppression pulse PFAT between the selective inversion pulse SIR and the data acquisition sequence DAQ. However, the fat suppression pulse PFAT may be removed as required or a different RF pulse may be provided in place of the fat suppression pulse PFAT. Further, a different RF pulse may be provided in addition to the fat suppression pulse PFAT.
  • The pulse sequence PS shown in FIGS. 2A and 2B includes the selective inversion pulse SIR. However, a non-selective inversion pulse may be used or an α°-RF pulse (α°≠180°) may be used in place of the selective inversion pulse SIR.
  • Second Embodiment
  • In the description of the second embodiment, a case where the heart rate gating method is used to acquire an image of a subject will be taken as an example.
  • FIG. 5 is a diagram showing an MRI apparatus 200 in the second embodiment.
  • The MRI apparatus 200 in the second embodiment is different from the MRI apparatus 100 in the first embodiment in that a heart rate sensor 41 for acquiring heart rate signals from the subject 14 is provided in place of the bellows 4. The heart rate sensor 41 is, for example, a sphygmograph sensor. The second embodiment is also different in that trigger generation unit 9 generates a heart rate synchronization trigger based on a heart rate signal from the heart rate sensor 41.
  • The other configuration elements are the same as those of the MRI apparatus 100 in the first embodiment and the description thereof will be omitted.
  • The MRI apparatus 200 in the second embodiment is configured as mentioned above. Description will be given to a method for scanning the subject 14 in the second embodiment. The image acquisition region R and the pulse sequence PS in the second embodiment are as shown in FIGS. 2A and 2B similarly to the first embodiment.
  • FIGS. 6A and 6B are drawings showing the relation between the heart rate signal PSD and the pulse sequence PS.
  • FIG. 6A is a drawing showing a pulse sequence PS in a case where the heart rate cycle is regular and FIG. 6B is a drawing showing a pulse sequence PS in a case where the heart rate cycle becomes irregular due to arrhythmia or the like.
  • First, FIG. 6A will be described.
  • The trigger generation unit 9 detects a peak of the heart rate signal PSD based on the signal value of the heart rate signal PSD. When the trigger generation unit 9 detects the peak P0, it generates a first heart rate synchronization trigger TGPSD1 for transmitting the selective inversion pulse SIR. The first heart rate synchronization trigger TGPSD1 may be generated at the position of the peak P0 or may be generated temporally behind the peak P0. In the second embodiment, the first heart rate synchronization trigger TGPSD1 is generated temporally behind the peak P0.
  • When the first heart rate synchronization trigger TGPSD1 is generated, the selective inversion pulse SIR is transmitted in synchronization with the first heart rate synchronization trigger TGPSD1. The longitudinal magnetization of tissue contained in the inverted region RSIR (Refer to FIG. 2A) is inverted by the selective inversion pulse SIR.
  • When the trigger generation unit 9 detects a peak P2 of the heart rate signal PSD generated for the second time after the transmission of the selective inversion pulse SIR, when a heart rate delay time tPSD has passed after the detected peak P2, it generates a second heart rate synchronization trigger TGPSD2. The second heart rate synchronization trigger TGPSD2 is a trigger for carrying out the data acquisition sequence DAQ during diastole.
  • When the second heart rate synchronization trigger TGPSD2 is generated, the fat suppression pulse PFAT is transmitted and the data acquisition sequence DAQ is carried out. In FIG. 6A, the time interval from the second heart rate synchronization trigger TGPSD2 to when the data acquisition sequence DAQ is started is indicated by symbol “ttrg”, and the time interval from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started is indicated by symbol “tfat.”
  • The time interval ttrg from the second heart rate synchronization trigger TGPSD2 to when the data acquisition sequence DAQ is started takes a value so set that the data acquisition sequence DAQ can be carried out during diastole. A fixed value determined before the subject 14 is scanned can be taken for the time interval ttrg. However, the heart rate cycle of the subject 14 may be measured periodically (for example, at intervals of several seconds to several tens of seconds) while the subject 14 is scanned, and the value of time interval ttrg may be changed based on the latest measured heart rate cycle. The time interval tfat from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started generally has a fixed value. However, the value may be changed as required.
  • FIG. 6B shows an example in which the interval between peaks P1 and P2 of the heart rate signal PSD becomes wider than in FIG. 6A due to arrhythmia or the like while the subject 14 is scanned. Also in FIG. 6B, the pulse sequence PS is carried out in the same manner as in FIG. 6A and accordingly, detailed description of FIG. 6B will be omitted.
  • In the second embodiment, a peak P2 that occurs after the transmission of the selective inversion pulse SIR is detected and a second heart rate synchronization trigger TGPSD2 is generated behind the peak P2 by a heart rate delay time tPSD. Therefore, even though the heart rate cycle of the subject 14 is instantaneously changed by arrhythmia or the like during scanning, the generation timing of the second heart rate synchronization trigger TGPSD2 is changed in accordance with this change. Therefore, the value of wait time W of the pulse sequence PS is also changed. As is apparent from the comparison of FIG. 6A and FIG. 6B, the wait time W of the pulse sequence PS is W=Wa in FIG. 6A while the wait time W of the pulse sequence PS is changed to W=Wb in FIG. 6B. Therefore, the start timing of the data acquisition sequence DAQ can be adjusted by taking a variable value for the wait time W. This makes it possible to carry out the data acquisition sequence DAQ during diastole even though arrhythmia occurs during scanning and obtain an image with enhanced arterial blood.
  • Also in the second embodiment, the wait time W of the pulse sequence PS varies during scanning as in the first embodiment. However, as described with reference to the simulation result shown in FIGS. 4A-4C, it is guessed that any variation in the wait time W of the pulse sequence PS has relatively little influence on image quality.
  • Third Embodiment
  • In the description of the third embodiment, a case where both the respiratory gating method and the heart rate gating method are used to acquire an image of a subject will be taken as an example.
  • FIG. 7 is a diagram showing an MRI apparatus 300 in the third embodiment.
  • The MRI apparatus 300 in the third embodiment is different from the MRI apparatus 100 in the first embodiment in that a heart rate sensor 41 for acquiring heart rate signals from the subject 14 is provided in addition to the bellows 4. The heart rate sensor 41 is, for example, a sphygmograph sensor. The third embodiment is also different in that trigger generation unit 9 generates a respiration synchronization trigger based on a respiration signal from the bellows 4 and generates a heart rate synchronization trigger based on a heart rate signal from the heart rate sensor 41.
  • The other configuration elements are the same as those of the MRI apparatus 100 in the first embodiment and the description thereof will be omitted.
  • The MRI apparatus 300 in the third embodiment is configured as mentioned above. Description will be given to a method for scanning the subject 14 in the third embodiment. The image acquisition region R and the pulse sequence PS in the third embodiment are as shown in FIGS. 2A and 2B similarly to the first embodiment.
  • FIGS. 8A and 8B are drawings showing the relation between the respiration signal Resp, the heart rate signal PSD, and the pulse sequence PS in the third embodiment.
  • FIG. 8A is a drawing showing a pulse sequence PS in a case where the heart rate cycle is regular and FIG. 8B is a drawing showing a pulse sequence PS in a case where the heart rate cycle becomes irregular due to arrhythmia or the like.
  • First, FIG. 8A will be described.
  • The trigger generation unit 9 detects a peak of the respiration signal Resp based on the signal value of the respiration signal Resp. In FIG. 8A, the peak P0 of the respiration signal Resp occurs at time t0. Therefore, the trigger generation unit 9 detects the peak P0. When the trigger generation unit 9 detects the peak P0, it generates a respiration synchronization trigger TGresp for transmitting the selective inversion pulse SIR. The respiration synchronization trigger TGresp may be generated at the position of the peak P0 or may be generated temporally behind the peak P0. In the third embodiment, the respiration synchronization trigger TGresp is generated temporally behind the peak P0.
  • When the respiration synchronization trigger TGresp is generated, the selective inversion pulse SIR is transmitted in synchronization with the respiration synchronization trigger TGresp. The longitudinal magnetization of tissue contained in the inverted region RSIR (Refer to FIG. 2A) is inverted by the selective inversion pulse SIR.
  • When the trigger generation unit 9 detects a peak P2 of the heart rate signal PSD generated for the second time after the transmission of the selective inversion pulse SIR, when a heart rate delay time tpSD has passed after the detected peak P2, it generates a heart rate synchronization trigger TGPSD. The heart rate synchronization trigger TGPSD is a trigger for carrying out the data acquisition sequence DAQ during diastole.
  • When the heart rate synchronization trigger TGPSD is generated, the fat suppression pulse PFAT is transmitted and the data acquisition sequence DAQ is carried out. In FIG. 8A, the time interval from the heart rate synchronization trigger TGPSD to when the data acquisition sequence DAQ is started is indicated by symbol “ttrg,”, and the time interval from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started is indicated by symbol “tfat.”
  • The time interval ttrg from the heart rate synchronization trigger TGPSD to when the data acquisition sequence DAQ is started is set so that the data acquisition sequence DAQ can be carried out during diastole. A fixed value determined before the subject 14 is scanned can be taken for the time interval ttrg. However, the heart rate cycle of the subject 14 may be measured periodically (for example, at intervals of several seconds to several tens of seconds) while the subject 14 is scanned, and the value of time interval ttrg may be changed based on the latest measured heart rate cycle. The time interval tfat from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started generally has a fixed value; however, the value may be changed as required.
  • FIG. 8B shows an example in which the interval between peaks P1 and P2 of the heart rate signal PSD becomes wider than in FIG. 8A due to arrhythmia or the like while the subject 14 is scanned. Also in FIG. 8B, the pulse sequence PS is carried out in the same manner as in FIG. 8A and accordingly, detailed description of FIG. 8B will be omitted.
  • In the third embodiment, a peak P2 that occurs after the transmission of the selective inversion pulse SIR is detected. Then the heart rate synchronization trigger TGPSD for carrying out the data acquisition sequence DAQ is generated behind the peak P2 by a heart rate delay time tPSD. Therefore, if the heart rate cycle of the subject 14 is instantaneously changed by arrhythmia or the like during scanning, the generation timing of the heart rate synchronization trigger TGPSD is changed in accordance with this change. As a result, the value of wait time W of the pulse sequence PS is also changed. As is apparent from the comparison of the FIG. 8A and FIG. 8B, the wait time W of the pulse sequence PS is W=Wa in FIG. 8A while the wait time W of the pulse sequence PS is changed to W=Wb in FIG. 8B. Therefore, the start timing of the data acquisition sequence DAQ can be adjusted by taking a variable value for the wait time W. This makes it possible to carry out the data acquisition sequence DAQ during diastole even though arrhythmia occurs during scanning and obtain an image with enhanced arterial blood.
  • Also in the third embodiment, the wait time W of the pulse sequence PS varies during scanning as in the first embodiment. However, as described with reference to the simulation result in FIGS. 4A-4C, it is guessed that it has relatively little influence on image quality.
  • Fourth Embodiment
  • In the description of the fourth embodiment, another case where both the respiratory gating method and the heart rate gating method are used to acquire an image of a subject will be taken as an example.
  • An MRI apparatus in the fourth embodiment is different from the MRI apparatus 300 in the third embodiment in that two respiration synchronization triggers are generated. The other configuration elements are the same as those of the MRI apparatus 300 in the third embodiment and the description thereof will be omitted.
  • Description will be given to a method for scanning the subject 14 in the fourth embodiment with reference to FIGS. 9A and 9B.
  • FIGS. 9A and 9B are drawings showing the relation between the respiration signal Resp, the heart rate signal PSD, and the pulse sequence PS in the fourth embodiment.
  • FIG. 9A is a drawing showing a pulse sequence PS in the case of heart rate cycle Ta, and FIG. 9B is a drawing showing a pulse sequence PS in a case where the heart rate cycle changes from Ta to Tb and the heart rate cycle becomes irregular due to arrhythmia or the like.
  • First, FIG. 9A will be described.
  • In the fourth embodiment, a first respiration synchronization trigger TGresp1 and a second respiration synchronization trigger TGresp2 are generated based on the respiration signal Resp. The first respiration synchronization trigger TGresp1 and the second respiration synchronization trigger TGresp2 are generated in the same manner as in the first embodiment.
  • The trigger generation unit 9 detects a peak P2 of the heart rate signal PSD that occurs for the first time after the generation of the second respiration synchronization trigger TGresp2. When the peak P2 of the heart rate signal PSD is detected, a heart rate synchronization trigger TGPSD is generated when a heart rate delay time tPSD has passed after the detected peak P2. The heart rate synchronization trigger TGPSD is a trigger for carrying out the data acquisition sequence DAQ during diastole.
  • When the heart rate synchronization trigger TGPSD is generated, the fat suppression pulse PFAT is transmitted and the data acquisition sequence DAQ is carried out. In FIG. 9A, the time interval from the heart rate synchronization trigger TGPSD to when the data acquisition sequence DAQ is started is indicated by symbol “ttrg”, and the time interval from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started is indicated by symbol “tfat.”
  • The time interval ttrg from the heart rate synchronization trigger TGPSD to when the data acquisition sequence DAQ is started takes a value so set that the data acquisition sequence DAQ can be carried out during diastole. A fixed value determined before the subject 14 is scanned can be taken for the time interval ttrg. However, the heart rate cycle of the subject 14 may be measured periodically (for example, at intervals of several seconds to several tens of seconds) while the subject 14 is scanned, and the value of time interval ttrg may be changed based on the latest measured heart rate cycle. The time interval tfat from the fat suppression pulse PFAT to when the data acquisition sequence DAQ is started generally has a fixed value; however, the value may be changed as required.
  • FIG. 9B shows an example in which the respiratory cycle of the subject is changed from Ta to Tb and the interval between peaks P0 and P1 of the heart rate signal PSD becomes narrower than in FIG. 9A due to arrhythmia or the like. Also in FIG. 9B, the pulse sequence PS is carried out in the same manner as in FIG. 9A and accordingly, detailed description of FIG. 9B will be omitted.
  • In the fourth embodiment, the second respiration synchronization trigger TGresp2 is generated when after the selective inversion pulse SIR is transmitted, the respiration signal Resp gets close to the base line Sbase. Therefore, if the respiratory cycle of the subject 14 changes during scanning, the generation timing of the second respiration synchronization trigger TGresp2 is changed in accordance with this change. As a result, the value of the wait time W of the pulse sequence PS is also changed. As is apparent from the comparison of FIG. 9A and FIG. 9B, the wait time W of the pulse sequence PS is W=Wa in FIG. 9A while the wait time W of the pulse sequence PS is changed to W=Wb in FIG. 9B. Therefore, the start timing of the data acquisition sequence DAQ can be adjusted by taking a variable value for the wait time W. This makes it possible to carry out the data acquisition sequence DAQ while the body motion of the subject 14 arising from respiration is small and obtain an image with reduced body motion artifacts.
  • In the fourth embodiment, further, a peak P2 of the heart rate signal PSD that occurs for the first time after the generation of the second respiration synchronization trigger TGresp2 is detected, and a heart rate synchronization trigger TGPSD is generated behind this peak P2 by a heart rate delay time tPSD. Therefore, if the heart rate cycle of the subject 14 is instantaneously changed by arrhythmia or the like during scanning, the generation timing of the heart rate synchronization trigger TGPSD is changed in accordance with this change. As a result, the value of wait time W of the pulse sequence PS is changed. For this reason, the start timing of the data acquisition sequence DAQ can be adjusted by taking a variable value for the wait time W. This makes it possible to carrying the data acquisition sequence DAQ during diastole even though arrhythmia occurs during scanning and obtain an image with enhanced arterial blood.
  • Also in the fourth embodiment, the wait time W of the pulse sequence PS varies during scanning as in the first embodiment. However, as described with reference to the simulation result in FIGS. 4A-4C, it is guessed that it has relatively little influence on image quality.
  • Many widely different embodiments may be configured without departing from the spirit and the scope of the present invention. It should be understood that the present invention is not limited to the specific embodiments described in the specification, except as defined in the appended claims.

Claims (20)

1. A magnetic resonance imaging apparatus configured to carry out a pulse sequence in synchronization with a biosignal,
wherein the pulse sequence includes:
an RF pulse; and
a data acquisition sequence for acquiring data when a wait time has passed after the RF pulse,
wherein the wait time has a variable value that can be varied based on the biosignal.
2. The magnetic resonance image apparatus according to claim 1, comprising:
a trigger generation unit configured to generate a trigger for carrying out the pulse sequence based on the biosignal.
3. The magnetic resonance imaging apparatus according to claim 2,
wherein the biosignal is a respiration signal, and
wherein the trigger generation unit is configured to generate a respiration synchronization trigger for carrying out the pulse sequence based on the respiration signal.
4. The magnetic resonance imaging apparatus according to claim 3,
wherein the trigger generation unit is configured to generate a first respiration synchronization trigger for transmitting the RF pulse and a second respiration synchronization trigger for carrying out the data acquisition sequence while the body motion of the a subject due to respiration is small.
5. The magnetic resonance imaging apparatus according to claim 2,
wherein the biosignal is a heart rate signal, and
wherein the trigger generation unit is configured to generate a heart rate synchronization trigger for carrying out the pulse sequence based on the heart rate signal.
6. The magnetic resonance imaging apparatus according to claim 5,
wherein the trigger generation unit is configured to generate a first heart rate synchronization trigger for transmitting the RF pulse and a second heart rate synchronization trigger for carrying out the data acquisition sequence during diastole.
7. The magnetic resonance imaging apparatus according to claim 2,
wherein the biosignal is a respiration signal and a heart rate signal, and
wherein the trigger generation unit is configured to generate a respiration synchronization trigger for transmitting the RF pulse based on the respiration signal and is configured to generate a heart rate synchronization trigger for carrying out the data acquisition sequence during diastole based on the heart rate signal.
8. The magnetic resonance imaging apparatus according to claim m 2,
wherein the biosignal is a respiration signal and a heart rate signal, and
wherein the trigger generation unit is configured to generate, based on the respiration signal, a first respiration synchronization trigger for transmitting the RF pulse and a second respiration synchronization trigger for carrying out the data acquisition sequence while the body motion of a subject due to respiration is small, the trigger generation unit further configured to generate, based on the heart rate signal, a heart rate synchronization trigger for carrying out the data acquisition sequence during diastole.
9. The magnetic resonance imaging apparatus according to claim 1,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
10. The magnetic resonance imaging apparatus according to claim 2,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
11. The magnetic resonance imaging apparatus according to claim 3,
wherein the pulse sequence includes a fat suppression pulse configured suppress fat.
12. The magnetic resonance imaging apparatus according to claim 4,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
13. The magnetic resonance imaging apparatus according to claim 5,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
14. The magnetic resonance imaging apparatus according to claim 6,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
15. The magnetic resonance imaging apparatus according to claim 7,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
16. The magnetic resonance imaging apparatus according to claim 8,
wherein the pulse sequence includes a fat suppression pulse configured to suppress fat.
17. A magnetic resonance imaging method for carrying out a pulse sequence in synchronization with a biosignal comprising:
transmitting an RF pulse; and
acquiring data in a data acquisition sequence when a wait time has passed after the RF pulse,
wherein the pulse sequence includes the RF pulse and the data acquisition sequence, and
wherein the wait time has a variable value that can be varied based on the biosignal.
18. A method according to claim 17, further comprising generating a trigger for carrying out the pulse sequence,
19. A method according to claim 18, wherein generating a trigger for carrying out the pulse sequence comprises generating a trigger based on a respiration signal.
20. A method according to claim 18, wherein generating a trigger for carrying out the pulse sequence comprises generating a trigger based on a heart rate signal.
US13/338,416 2010-12-28 2011-12-28 Magnetic resonance imaging apparatus and method Active 2034-03-31 US9439603B2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2010292725A JP5345610B2 (en) 2010-12-28 2010-12-28 Magnetic resonance imaging system
JP2010-292725 2010-12-28

Publications (3)

Publication Number Publication Date
US20120161765A1 US20120161765A1 (en) 2012-06-28
US20130027036A9 true US20130027036A9 (en) 2013-01-31
US9439603B2 US9439603B2 (en) 2016-09-13

Family

ID=46315857

Family Applications (1)

Application Number Title Priority Date Filing Date
US13/338,416 Active 2034-03-31 US9439603B2 (en) 2010-12-28 2011-12-28 Magnetic resonance imaging apparatus and method

Country Status (3)

Country Link
US (1) US9439603B2 (en)
JP (1) JP5345610B2 (en)
CN (2) CN105662414B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102015215141A1 (en) * 2015-08-07 2017-02-09 Siemens Healthcare Gmbh Synchronization device and method for synchronizing an imaging device

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5977158B2 (en) 2012-11-30 2016-08-24 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Detection apparatus, magnetic resonance apparatus, detection method, and program
JP5965880B2 (en) * 2013-09-30 2016-08-10 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Magnetic resonance apparatus and program
DE102013226638A1 (en) * 2013-12-19 2015-06-25 Siemens Aktiengesellschaft Method for magnetic resonance imaging
KR101472709B1 (en) * 2014-04-25 2014-12-16 박영근 Health Medical Examination Method including Detailed Examination Information
DE102014217729B4 (en) * 2014-09-04 2016-03-24 Siemens Aktiengesellschaft Variable number of inversion pulses when acquiring magnetic resonance data in a respiration-driven target area
CN106539584B (en) * 2015-09-22 2020-08-04 上海联影医疗科技有限公司 Magnetic resonance imaging method and system
CN109714143B (en) * 2017-10-26 2021-12-31 通用电气公司 Synchronization system and method based on wireless or limited cable interconnection and MR system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4777959A (en) * 1986-09-17 1988-10-18 Spacelabs, Inc. Artifact detection based on heart rate in a method and apparatus for indirect blood pressure measurement
US20080211497A1 (en) * 2007-01-22 2008-09-04 Yuji Iwadate Mri apparatus
US20080242973A1 (en) * 2007-04-02 2008-10-02 Carsten Warmuth Heart imaging with adaptive inversion time
US20090018433A1 (en) * 2007-07-11 2009-01-15 Kabushiki Kaisha Toshiba Magnetic resonance imaging apparatus and magnetic resonance imaging method
US20090245607A1 (en) * 2008-03-31 2009-10-01 Toshiba Medical Systems Corporation Magnetic resonance imaging apparatus and scanning-condition setting method
US20090270719A1 (en) * 2008-04-23 2009-10-29 Mitsuharu Miyoshi Mri apparatus
US20100045290A1 (en) * 2008-08-25 2010-02-25 Mitsuharu Miyoshi Magnetic resonance imaging apparatus and method for controlling the same
US20100249574A1 (en) * 2009-03-24 2010-09-30 Mitsue Miyazaki Magnetic resonance imaging apparatus and magnetic resonance imaging method
US20100312098A1 (en) * 2006-09-06 2010-12-09 Kabushiki Kaisha Toshiba Magnetic resonance imaging apparatus and image processing apparatus

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5429134A (en) * 1994-06-27 1995-07-04 General Electric Company Multi-phase fat suppressed MRI cardiac imaging
JP2007185547A (en) * 1998-04-20 2007-07-26 Toshiba Corp Mri system
JP2005278919A (en) * 2004-03-30 2005-10-13 Hitachi Medical Corp Magnetic resonance imaging apparatus
JP4896526B2 (en) * 2006-01-11 2012-03-14 株式会社東芝 Magnetic resonance imaging system
JP4956170B2 (en) 2006-12-15 2012-06-20 株式会社日立メディコ Magnetic resonance imaging system
JP5022696B2 (en) * 2006-12-22 2012-09-12 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Magnetic resonance imaging system
JP2008178592A (en) 2007-01-25 2008-08-07 Ge Medical Systems Global Technology Co Llc Magnetic resonance imaging device, scanning device, magnetic resonance imaging method, and program therefor
JP2009056072A (en) * 2007-08-31 2009-03-19 Ge Medical Systems Global Technology Co Llc Magnetic resonance imaging apparatus
JP5854575B2 (en) 2007-12-10 2016-02-09 株式会社東芝 Magnetic resonance imaging system
JP5383036B2 (en) 2007-12-28 2014-01-08 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー MRI equipment
JP5546735B2 (en) 2008-02-29 2014-07-09 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー MRI equipment
CN103462607B (en) * 2008-09-04 2017-01-18 东芝医疗系统株式会社 Magnetic resonance imaging apparatus
JP2010131200A (en) * 2008-12-04 2010-06-17 Toshiba Corp Mri apparatus and photography trigger signal generating unit for mri apparatus
JP5373416B2 (en) 2009-01-30 2013-12-18 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Magnetic resonance imaging apparatus and program
JP5633896B2 (en) * 2009-02-27 2014-12-03 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Magnetic resonance imaging system
JP5558731B2 (en) 2009-03-24 2014-07-23 株式会社東芝 Magnetic resonance imaging system
US8183864B2 (en) 2009-04-15 2012-05-22 Siemens Medical Solutions Usa, Inc. System for multi nucleus cardiac MR imaging and spectroscopy
JP2011110328A (en) * 2009-11-30 2011-06-09 Ge Medical Systems Global Technology Co Llc Magnetic resonance imaging apparatus

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4777959A (en) * 1986-09-17 1988-10-18 Spacelabs, Inc. Artifact detection based on heart rate in a method and apparatus for indirect blood pressure measurement
US20100312098A1 (en) * 2006-09-06 2010-12-09 Kabushiki Kaisha Toshiba Magnetic resonance imaging apparatus and image processing apparatus
US20080211497A1 (en) * 2007-01-22 2008-09-04 Yuji Iwadate Mri apparatus
US20080242973A1 (en) * 2007-04-02 2008-10-02 Carsten Warmuth Heart imaging with adaptive inversion time
US20090018433A1 (en) * 2007-07-11 2009-01-15 Kabushiki Kaisha Toshiba Magnetic resonance imaging apparatus and magnetic resonance imaging method
US20090245607A1 (en) * 2008-03-31 2009-10-01 Toshiba Medical Systems Corporation Magnetic resonance imaging apparatus and scanning-condition setting method
US20090270719A1 (en) * 2008-04-23 2009-10-29 Mitsuharu Miyoshi Mri apparatus
US20100045290A1 (en) * 2008-08-25 2010-02-25 Mitsuharu Miyoshi Magnetic resonance imaging apparatus and method for controlling the same
US20100249574A1 (en) * 2009-03-24 2010-09-30 Mitsue Miyazaki Magnetic resonance imaging apparatus and magnetic resonance imaging method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102015215141A1 (en) * 2015-08-07 2017-02-09 Siemens Healthcare Gmbh Synchronization device and method for synchronizing an imaging device

Also Published As

Publication number Publication date
CN105662414B (en) 2020-11-03
CN105662414A (en) 2016-06-15
JP5345610B2 (en) 2013-11-20
US20120161765A1 (en) 2012-06-28
CN102525464A (en) 2012-07-04
JP2012139284A (en) 2012-07-26
US9439603B2 (en) 2016-09-13
CN102525464B (en) 2016-02-24

Similar Documents

Publication Publication Date Title
US9439603B2 (en) Magnetic resonance imaging apparatus and method
JP4807825B2 (en) Magnetic resonance imaging system
JP5523718B2 (en) Medical imaging device
US9301706B2 (en) Magnetic resonance imaging system for non-contrast MRA and magnetic resonance signal acquisition method employed by the same
KR101775028B1 (en) Magnetic resonance imaging apparatus and method of obtaining magnetic resonance image
JP6277201B2 (en) Arterial spin labeling in which acoustic noise emission is suppressed and method of operating the same
US8598870B2 (en) Magnetic resonance imaging apparatus
JP4789244B2 (en) Magnetic resonance imaging system
JP5288745B2 (en) Magnetic resonance imaging system
JP2006320527A (en) Magnetic resonance imaging system
JP2001346773A (en) Medical image diagnosis device
KR101826702B1 (en) Magnetic resonance imaging apparatus and method thereof
EP3168636A2 (en) Gradient echo mri using velocity-selective excitation
JP2009254629A (en) Magnetic resonance imaging apparatus
JP2011110328A (en) Magnetic resonance imaging apparatus
JP2012075509A (en) Magnetic resonance imaging apparatus and program
JP2009178264A (en) Magnetic resonance imaging apparatus
KR102232606B1 (en) Device and method for dynamic tagged magnet resonance imaging
KR101958093B1 (en) Magnet resonance imaging device and method for generating blood imaging thereof
US20190033407A1 (en) Magnetic resonance imaging apparatus and method of generating magnetic resonance image
KR101949491B1 (en) Device and method for generating magnetic resonance imaging
JP5932393B2 (en) Magnetic resonance apparatus and program
JP5847247B2 (en) Magnetic resonance imaging system
JP5902259B2 (en) Magnetic resonance imaging system
JP2012045316A (en) Photographing device

Legal Events

Date Code Title Description
AS Assignment

Owner name: GE MEDICAL SYSTEMS GLOBAL TECHNOLOGY COMPANY, LLC,

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:GE HEALTHCARE JAPAN CORPORATION;REEL/FRAME:027453/0755

Effective date: 20110711

Owner name: GE HEALTHCARE JAPAN CORPORATION, JAPAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:TAKEI, NAOYUKI;REEL/FRAME:027453/0733

Effective date: 20110708

AS Assignment

Owner name: GENERAL ELECTRIC COMPANY, NEW YORK

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:GE MEDICAL SYSTEMS GLOBAL TECHNOLOGY;REEL/FRAME:038643/0625

Effective date: 20030331

STCF Information on status: patent grant

Free format text: PATENTED CASE

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 4

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 8