CN104720850A - Ultrasound contrast imaging method and region detection and development methods for contrast images - Google Patents

Ultrasound contrast imaging method and region detection and development methods for contrast images Download PDF

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Publication number
CN104720850A
CN104720850A CN201310719832.4A CN201310719832A CN104720850A CN 104720850 A CN104720850 A CN 104720850A CN 201310719832 A CN201310719832 A CN 201310719832A CN 104720850 A CN104720850 A CN 104720850A
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contrast
signal
tissue
contrastographic picture
region
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CN104720850B (en
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储霞
桑茂栋
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Shenzhen Mindray Scientific Co Ltd
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Shenzhen Mindray Bio Medical Electronics Co Ltd
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Priority to PCT/CN2014/077326 priority patent/WO2015096352A1/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52077Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging with means for elimination of unwanted signals, e.g. noise or interference
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/481Diagnostic techniques involving the use of contrast agent, e.g. microbubbles introduced into the bloodstream
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5207Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of raw data to produce diagnostic data, e.g. for generating an image
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5269Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving detection or reduction of artifacts
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5292Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves using additional data, e.g. patient information, image labeling, acquisition parameters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52023Details of receivers
    • G01S7/52036Details of receivers using analysis of echo signal for target characterisation
    • G01S7/52038Details of receivers using analysis of echo signal for target characterisation involving non-linear properties of the propagation medium or of the reflective target
    • G01S7/52039Details of receivers using analysis of echo signal for target characterisation involving non-linear properties of the propagation medium or of the reflective target exploiting the non-linear response of a contrast enhancer, e.g. a contrast agent
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10132Ultrasound image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing

Abstract

The invention provides an ultrasound contrast imaging method and region detection and development methods for contrast images. The region detection methods for the contrast images includes acquiring tissue signals and contrast signals in ultrasound contrast imaging procedures; preprocessing the tissue signals and the contrast signals; comparing the preprocessed tissue signals to the preprocessed contrast signals; segmenting images into contrast medium acting regions, tissue residue acting regions and noise acting regions in threshold segmenting modes; respectively marking contrast medium regions, tissue residue regions and noise regions at corresponding positions on the contrast images. The images are formed after the preprocessed tissue images are compared to the preprocessed contrast images. The ultrasound contrast imaging method and the region detection and development methods have the advantages that a CTR (contrast to tissue ratio) of each ultrasound contrast image can be greatly increased, and the ultrasound contrast imaging method and region detection and development methods are favorable for clinical observation; signals of contrast media can be enhanced, so that the dosage of the contrast media injected during ultrasound contrast can be greatly reduced, and the examination cost can be effectively lowered.

Description

Region detection, the developing method of a kind of ultrasonic contrast imaging method and contrastographic picture
Technical field
The present invention relates to ultrasound contrast imaging technology, be specifically related to region detection, the developing method of a kind of ultrasonic contrast imaging method and contrastographic picture.
Background technology
Ultra sonic imaging is the Non-invasive detection mode of current comparative maturity, compared to CT and MRI (Magnetic Resonance Imaging, nuclear magnetic resonance), the radiation of ultrasonic diagnosis is few, the primary detection methods that the advantages such as expense is cheap, easy to operate make ultrasonic diagnosis become clinical.
Ultrasonic contrast utilizes contrast agent that scattered echoes is strengthened, and effectively can improve resolving power, the Sensitivity and Specificity of ultrasonic diagnosis.The core of ultrasound contrast imaging technology is the echo component that the contrast agent echo component how extracted in echo-signal also suppresses tissue.At present, the imaging carrying out contrast agent microbubble with non-linear detection method is the main method of current ultrasonic contrast.
But, adopt ultrasonic contrast method of the prior art, in the contrast agent signals detected, be mixed into component of organization unavoidably.
One is the destructive energy due to circuit system itself, two amplitudes, frequency are the same in theory, the waveform adder that phase is 180 degree is 0, but the direct impulse launched in side circuit and be not full symmetric with the reverse impulse of direct impulse phase 180 degree, after causing forward and reverse impulse summation and be not 0, namely forward and reverse pulsion phase is not 0 after disappearing.Destructive affects CTR (the contrast to tissue ratio of contrastographic picture, radiography tissue ratio), CTR is the major criterion weighing contrastographic picture quality, system destructive can better CTR higher, the gap of contrast agent and tissue is larger, image appearance organizes development more weak exactly, and the level of contrast agent images is more clear.On the contrary, the poorer CTR of destructive of system is poorer, and the gap of contrast agent and tissue is less, and namely residual in contrastographic picture component of organization is more, and the contrast resolution of contrastographic picture is poorer.
Two is also can produce non-linear component owing to organizing, and no matter how low MI (Mechanical Index, mechanical index) is, a small amount of harmonic components all can be had to exist, contain the non-linear component of tissue during non-linear detection in tissue.
Three is because signal is too large, and each system has self destructive energy, and after small-signal disappears mutually, signal is little, and the tissue residue after strong signal cancellation is also very strong, and strong tissue residue makes reduction of contrast signal and tissue residue to distinguish.
Four is due to saturated, use amplitude modulation(PAM) in non-linear detection method, launch the pulse that several amplitude is different, will echo-signal readjust by a narrow margin according to high and low interpulse amplitude scale during reception, and subtract each other with high-amplitude echo-signal, the fundamental signal of tissue can be eliminated like this; Saturatedly make high and low width signal not meet proportionate relationship, cause the linear components of tissue to disappear mutually, remain in contrastographic picture.
Five is due to motion, and motion causes the phase place of transmitted waveform several times, amplitude not to meet the condition that linearly disappears mutually, linearity group composition is eliminated and stays in contrastographic picture.So, in current ultrasonic contrast imaging, all cannot avoid the existence of tissue residue.
Summary of the invention
The object of the invention is to, region detection, the developing method of a kind of ultrasonic contrast imaging method and contrastographic picture are provided, based on nonlinear fundamental contrastographic picture, in conjunction with nonlinear fundamental and linear fundamental information, accurately identify contrast medium areas, tissue residue and the noise region distinguished in nonlinear fundamental contrastographic picture, and suppress tissue residue further, strengthen contrast agent information, and then improve the CTR of contrastographic picture.
For achieving the above object, the present invention is by the following technical solutions:
A method for detecting area for contrastographic picture, comprising:
Obtain the tissue signal in ultrasonic contrast imaging process and reduction of contrast signal;
Described tissue signal and reduction of contrast signal are compared process, obtains the Nogata scattergram of the signal value of the image formed after comparing process;
By the threshold value of Nogata scattergram determination contrast agent signals and tissue residue signal, and by the mode of Threshold segmentation, the Iamge Segmentation formed after comparing process is become the contrast agent zone of action, the tissue residue zone of action and noise contributions region.
A developing method for contrastographic picture, comprising:
Above-described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas and tissue residue region are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
A developing method for contrastographic picture, comprising:
Above-described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas, tissue residue region and noise region are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
A developing method for contrastographic picture, comprising:
Above-described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas, tissue residue region, noise region and original reduction of contrast signal are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
A developing method for contrastographic picture, comprising:
Above-described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas, tissue residue region and original reduction of contrast signal are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
A kind of ultrasonic contrast imaging method, comprising:
Launch ultrasound wave to tested individuality by ultrasonic probe, and obtain echo-signal;
Echo-signal is processed, extracts linear components and the non-linear component of echo-signal;
Respectively the linear components of echo-signal and non-linear component are carried out to the post processing of multiple link, generate tissue image and contrastographic picture respectively, and show;
The method for detecting area of above-described contrastographic picture is used to carry out region detection to contrastographic picture.
Region detection, the developing method of a kind of ultrasonic contrast imaging method provided by the invention and contrastographic picture, substantially increase the CTR of ultrasonic contrast image on the one hand, be conducive to clinical observation; Enhance the signal of contrast agent on the other hand, the radiography dosage injected can be reduced greatly, effectively reduce check cost during ultrasonic contrast.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the handling process schematic diagram of the first implementation of embodiment one.
Fig. 2 is the handling process schematic diagram of the second implementation of embodiment one.
Fig. 3 is the handling process schematic diagram of the third implementation of embodiment one.
Fig. 4 is the handling process schematic diagram of embodiment two.
Fig. 5 is the Nogata scattergram of the signal value of the image that in embodiment two, reduction of contrast signal and tissue signal are formed after being divided by.
Fig. 6 is the handling process schematic diagram of a kind of implementation of embodiment three.
Fig. 7 is the handling process schematic diagram of the another kind of implementation of embodiment three.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment one
As shown in Figure 1 to Figure 3, a kind of ultrasonic contrast imaging method that the embodiment of the present invention provides, specifically comprises the following steps:
S101, launch ultrasound wave to tested individuality by ultrasonic probe, and obtain echo-signal;
S102, echo-signal to be processed, extract linear components and the non-linear component of echo-signal;
S103, respectively the linear components of echo-signal and non-linear component are carried out to the post processing of multiple link, generate tissue image and contrastographic picture respectively, and show;
S104, region detection is carried out to contrastographic picture.
Particularly, in S101, tested individuality is generally human body, ultrasound wave passes through reflection, refraction and scattering (mainly reflecting) in human body communication process, echo with tissue anatomical features is propagated back to ultrasonic probe again, ultrasonic probe converts the signal of telecommunication to the echo received, i.e. echo-signal.
Echo-signal comprises a lot of information, in S102, needs to process echo-signal, extracts useful information, mainly comprises Beam synthesis and extracts different signal components by various different wave filter.In ultrasonic contrast imaging process, often need the signal that extraction two kinds is different, a kind of linear components of echo-signal, reflects anatomic tissue feature, is also called tissue signal; Another kind is the non-linear component of echo-signal, and the information of reflection contrast agent microbubble, is also called reduction of contrast signal.In embodiments of the present invention, described linear components is linear fundamental signal, and described non-linear component is nonlinear fundamental signal.
Linear components also needs just can obtain final tissue image through post processing, and in S103, the post processing of linear components mainly comprises demodulation, asks several link such as envelope, dynamic range transform; Same, non-linear component also just will can obtain final contrastographic picture through post processing, and in S103, the post processing link of non-linear component can similar with linear components, and just during process, the selection of parameter is different.
In S104, first linear components (linear fundamental signal) and non-linear component (nonlinear fundamental signal) is compared, then utilize the method for Threshold segmentation that the Iamge Segmentation after is relatively become contrast agent, tissue residue and noise three regions, finally in position mark contrast agent, tissue residue and noise three regions that former contrastographic picture is corresponding, achieve and the contrastographic picture of nonlinear fundamental is divided into tissue residue, contrast agent and noise three regions, accurately have detected contrast agent microbubble information.Wherein, the tissue image that described linear components and non-linear component generate after both can being through post processing and contrastographic picture, as shown in Figure 1; Also can be the M signal of a certain identical link in last handling process, as shown in Figure 2; Can also be the initial linear fundamental signal according to echo-signal acquisition and nonlinear fundamental signal, as shown in Figure 3.
Particularly, will describe in detail in embodiment two method that contrastographic picture carries out region detection.
As improvement, as shown in Figure 3, the embodiment of the present invention also comprises: S105, be shown on contrastographic picture by the area detection result of S104, is shown on contrastographic picture by the trizonal segmentation situation of contrast agent, tissue residue and noise.Described S105 is not the necessary step of ultrasonic contrast imaging, can determine whether carry out according to the application demand of reality.
Embodiment two
Embodiments provide a kind of method for detecting area of contrastographic picture, it is applicable to nonlinear fundamental contrastographic picture, second harmonic contrastographic picture, and the contrastographic picture that other any nonlinear detection techniques are formed.
As shown in Figure 4, a kind of method for detecting area of contrastographic picture that the embodiment of the present invention provides comprises the following steps:
Tissue signal in S201, acquisition ultrasonic contrast imaging process and reduction of contrast signal;
S202, respectively pretreatment is carried out to tissue signal and reduction of contrast signal;
S203, pretreated tissue signal and reduction of contrast signal are compared process, obtain the Nogata scattergram of the signal value of the image formed after comparing process;
S204, threshold value by Nogata scattergram determination contrast agent signals and tissue residue signal, and by the mode of Threshold segmentation, the Iamge Segmentation formed after comparing process in S203 is become the contrast agent zone of action, the tissue residue zone of action and noise contributions region;
S205, the position in the contrast agent zone of action corresponding on contrastographic picture, the tissue residue zone of action and noise contributions region is labeled as contrast medium areas, tissue residue region and noise region respectively.
In S201, described tissue signal and reduction of contrast signal are respectively linear components and the non-linear component of the echo-signal in ultrasonic contrast imaging process.Particularly, described tissue signal both can be the linear fundamental signal of the echo in ultrasonic contrast imaging process, also can be to carry out according to linear fundamental signal the tissue image that post processing obtains, and can also be the M signal of any one link in last handling process; Described reduction of contrast signal both can be the nonlinear fundamental signal of the echo in ultrasonic contrast imaging process, also can be to carry out according to nonlinear fundamental signal the contrastographic picture that post processing obtains, and can also be the M signal of any one link in last handling process.It should be noted that according to embodiment one, post processing mainly comprises demodulation, asks several link such as envelope, dynamic range transform; Therefore, when tissue signal and reduction of contrast signal are the M signal in last handling process, both should come from link identical in post processing.
In S202, pretreated key step is denoising, and object is recovering signal self size, avoids TGC(Time Gain Compensate, time gain compensation) and noise impact is brought on subsequent treatment.It should be noted that tissue signal and the reduction of contrast signal in different link source in corresponding S201, the mode of denoising is different.
In S203, the described implementation comparing process has two kinds, and a kind of is be divided by by the signal of same position in reduction of contrast signal and tissue signal, can be reduction of contrast signal divided by tissue signal, also can be that tissue signal is divided by reduction of contrast signal; Another kind is by the signal subtraction of same position in reduction of contrast signal and tissue signal, can seem reduction of contrast signal to deduct tissue signal, also can be that tissue signal deducts reduction of contrast signal.In the embodiment of the present invention, adopt the comparison processing mode that reduction of contrast signal and tissue signal are divided by.As shown in Figure 5, for reduction of contrast signal and tissue signal be divided by after the Nogata scattergram of signal value of image that formed.Because after the Denoising in Pretreatment of S2, noise signal is mostly zero, can not be divided by; Therefore, when obtaining Nogata scattergram, need be that the noise signal of zero carries out quantification treatment by signal value, finally, the signal value of noise be the signal of-60dB in Fig. 5.
As can be seen from Figure 5, the signal distributions of the image formed after comparing process is made up of two crests and a trough, and one of them peak is comparatively large, and another peak is less.The rectangular histogram of Fig. 5 is approximately and is made up of two normal distributions, and one is distribution center that peak value the is less normal distribution at the tissue residue of-40dB, and another is distribution center that peak value the is larger normal distribution in the contrast agent signals of-15dB.For different picture materials, distributed area can be variant, but based on the characteristic of ultrasonic contrast imaging, the feature of this approximate two normal distributions is inevitable.
In S204, the key of Threshold segmentation finds suitable threshold range, and the embodiment of the present invention provides the method for two kinds of definite threshold scopes.
Wherein, first method is: find the comparatively small leak of Nogata scattergram and larger peak value; Using the scope compared with 2 or 3 standard deviations about small leak as the distributed area of tissue residue, using the distributed area of the scope of 2 or 3 standard deviations about larger peak value as contrast agent; The intermediate value of getting the upper limit of tissue residue distributed area and the lower limit respective signal value in contrast agent distribution interval is as the threshold value of contrast agent signals and tissue residue signal.
Second method is: find the comparatively small leak of Nogata scattergram and larger peak value; Using compared with the threshold value of the trough value between small leak and larger peak value as contrast agent signals and tissue residue signal.
After above-mentioned two kinds of method definite thresholds, the zone marker that signal value in the image formed after comparing process in S203 is greater than described threshold value is the contrast agent zone of action, signal value is less than described threshold value and the zone marker being greater than noise signal is the tissue residue zone of action, and all the other zone markers are noise contributions region.Owing to carrying out explanation in S401, the signal value of noise was the signal of-60dB in Fig. 5, and therefore signal value is less than or equal to the region of-60dB is noise contributions region.
In general contrastographic picture, the signal magnitude distribution of contrast agent and tissue residue overlaps, contrast agent and tissue residue cannot be distinguished from signal, in the embodiment of the present invention, nonlinear fundamental reduction of contrast signal and linear fundamental tissue signal compare in the image of the formation after process, contrast agent signals is different with the distributed areas of tissue residue signal, by suitable threshold value, to be partitioned into which position be which position of contrast agent signals is tissue residue signal, same division is carried out again on original contrastographic picture, just contrastographic picture can be divided into contrast agent, the region that tissue residue is different with noise three kinds.Relatively the mode of process is different, and the method for Threshold segmentation is different, no matter is divided by or subtracts each other to realize being separated of contrast agent and tissue residue.
Embodiment three
The embodiment of the present invention is on the basis of embodiment two, provide a kind of developing method of contrastographic picture, by controlling the display weight of contrast agent, tissue residue and noise in contrastographic picture, realize the contrast improving contrast agent and tissue residue, improve contrastographic picture CTR effect, also can weaken the display of noise, improve contrastographic picture SNR (Signal to Noise Ratio, signal to noise ratio) effect.
As shown in Figure 6, the developing method of a kind of contrastographic picture that the embodiment of the present invention provides, comprise and use the method for detecting area of the contrastographic picture described in embodiment two contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region, also comprise: contrast medium areas, tissue residue region and noise region are multiplied by different FACTOR P 1, P2, P3 respectively, and then be combined into new contrastographic picture and show.
Wherein, the different values of each coefficient will bring different display effects.Coefficient is greater than 1, and show that this composition is highlighted, coefficient is less than 1, and show the weakened display of this composition, coefficient equals 0, shows that this composition is not shown.If P1=P2=P3=1, the effect of final display is the same with original reduction of contrast signal; If P1>P2, the contrast of contrast agent and tissue residue widens, and can reach the effect improving image CTR like this.The selection of P1, P2 and P3 has a variety of, in order to reach different image effects, and can the value of control P1, P2 and P3 neatly.
In order to the contrastographic picture presented, improve the effect of image CTR, widen the contrast of contrast agent and tissue residue, the embodiment of the present invention chooses P1>1, improves the intensity of contrast agent; Choose P2<1, weaken the development of tissue residue; Choose P3=1, make noise more natural, the entire gain of image need not be adjusted.By the adjustment of P1 and P2 parameter, the effect controlling contrastographic picture CTR flexibly can be reached, allow doctor more easily distinguish contrast agent and tissue residue, diagnose according to contrastographic picture better.
As shown in Figure 7, be the implementation of a kind of improvement of the embodiment of the present invention.It is on the basis of the developing method of the contrastographic picture shown in Fig. 6, adds the display weight of original reduction of contrast signal, and object makes the contrastographic picture of final display more natural.Equally, can the value of control P1, P2, P3 and P4 neatly, reach different image display effects.Work as P4=0, then image display effect is the same with Fig. 6; As long as P4 ≠ 0, then tissue residue will inevitably be shown.Prove according to test repeatedly, in order to improve the effect of image CTR, make contrastographic picture more natural, preferred one group of weighted value is: P2=P3=0, P1+P4 > 1,0 < P4 < 1.
Last it is noted that above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in previous embodiment, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.

Claims (11)

1. a method for detecting area for contrastographic picture, is characterized in that, comprising:
Obtain the tissue signal in ultrasonic contrast imaging process and reduction of contrast signal;
Described tissue signal and reduction of contrast signal are compared process, obtains the Nogata scattergram of the signal value of the image formed after comparing process;
By the threshold value of Nogata scattergram determination contrast agent signals and tissue residue signal, and by the mode of Threshold segmentation, the Iamge Segmentation formed after comparing process is become the contrast agent zone of action, the tissue residue zone of action and noise contributions region.
2. the method for detecting area of contrastographic picture according to claim 1, is characterized in that, described tissue signal and reduction of contrast signal are respectively linear components and the non-linear component of the echo-signal in ultrasonic contrast imaging process.
3. the method for detecting area of contrastographic picture according to claim 1, is characterized in that, the described method pretreated tissue signal and reduction of contrast signal being compared process is: by the signal subtraction of same position in radiography figure and organization charts or be divided by.
4. the method for detecting area of contrastographic picture according to claim 1, is characterized in that, by the method for the threshold value of Nogata scattergram determination contrast agent signals and tissue residue signal is:
Find the comparatively small leak of Nogata scattergram and larger peak value;
Using the scope compared with 2 or 3 standard deviations about small leak as the distributed area of tissue residue, using the distributed area of the scope of 2 or 3 standard deviations about larger peak value as contrast agent;
The intermediate value of getting the upper limit of tissue residue distributed area and the lower limit respective signal value in contrast agent distribution interval is as the threshold value of contrast agent signals and tissue residue signal.
5. the method for detecting area of contrastographic picture according to claim 1, is characterized in that, by the method for the threshold value of Nogata scattergram determination contrast agent signals and tissue residue signal is:
Find the comparatively small leak of Nogata scattergram and larger peak value;
Using compared with the threshold value of the trough value between small leak and larger peak value as contrast agent signals and tissue residue signal.
6. the method for detecting area of contrastographic picture according to claim 1, is characterized in that, also comprises before the step described tissue signal and reduction of contrast signal being compared process: carry out pretreatment respectively to described tissue signal and reduction of contrast signal.
7. a developing method for contrastographic picture, is characterized in that, comprising:
Claim 1 to 6 arbitrary described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas and tissue residue region are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
8. a developing method for contrastographic picture, is characterized in that, comprising:
Claim 1 to 6 arbitrary described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas, tissue residue region and noise region are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
9. a developing method for contrastographic picture, is characterized in that, comprising:
Claim 1 to 6 arbitrary described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas, tissue residue region, noise region and original reduction of contrast signal are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
10. a developing method for contrastographic picture, is characterized in that, comprising:
Claim 1 to 6 arbitrary described method is used contrastographic picture to be divided into contrast medium areas, tissue residue region and noise region;
After contrast medium areas, tissue residue region and original reduction of contrast signal are multiplied by different coefficients respectively, are combined into new contrastographic picture and show.
11. 1 kinds of ultrasonic contrast imaging methods, is characterized in that, comprising:
Launch ultrasound wave to tested individuality by ultrasonic probe, and obtain echo-signal;
Echo-signal is processed, extracts linear components and the non-linear component of echo-signal;
Respectively the linear components of echo-signal and non-linear component are carried out to the post processing of multiple link, generate tissue image and contrastographic picture respectively, and show;
The method for detecting area of the arbitrary described contrastographic picture of claim 1 to 6 is used to carry out region detection to contrastographic picture.
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