CA2424252A1 - Virtual prototyping and testing for medical device development - Google Patents

Virtual prototyping and testing for medical device development Download PDF

Info

Publication number
CA2424252A1
CA2424252A1 CA002424252A CA2424252A CA2424252A1 CA 2424252 A1 CA2424252 A1 CA 2424252A1 CA 002424252 A CA002424252 A CA 002424252A CA 2424252 A CA2424252 A CA 2424252A CA 2424252 A1 CA2424252 A1 CA 2424252A1
Authority
CA
Canada
Prior art keywords
medical device
strain
mesh
geometric model
poisson
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
CA002424252A
Other languages
French (fr)
Other versions
CA2424252C (en
Inventor
Robert G. Whirley
Michael V. Chobotov
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.)
Individual
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
Publication of CA2424252A1 publication Critical patent/CA2424252A1/en
Application granted granted Critical
Publication of CA2424252C publication Critical patent/CA2424252C/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06GANALOGUE COMPUTERS
    • G06G7/00Devices in which the computing operation is performed by varying electric or magnetic quantities
    • G06G7/48Analogue computers for specific processes, systems or devices, e.g. simulators
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B23/00Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
    • G09B23/28Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes for medicine
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61FFILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F2/00Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/82Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents

Abstract

A system and method of developing better-designed medical devices, particularly prosthesis and more particularly cardiovascular stents and endovascular grafts. The system comprises a geometry generator, a mesh generator, a stress/strain/deformation analyzer, and, optionally, a visualization tool. In one embodiment, the geometry generator receives three - dimensional volumetric data of an anatomical feature and generates a geometr ic model. The mesh generator then receives such geometric model of an anatomica l feature or an in vitro model and a geometric model of a candidate medical device. In another embodiment, the mesh generator only receives a geometric model of the candidate medical device. Using the geometric model(s) received , the mesh generator creates or generates a mesh or a finite element model. Th e stress/strain/deformation analyzer then receives the mesh, and the material models and loads of that mesh. Using analysis, preferably non-linear analysi s, the stress/strain/deformation analyzer determines the predicted stresses, strains, and deformations on the candidate medical device. Such stresses, strains, and deformations may optionally be simulated visually using a visualization tool.

Claims (111)

1. A system for analyzing the use of medical devices comprising:
a) geometry generator that receives three-dimensional volumetric data of at least one anatomical feature and generates a geometric model of said anatomical feature;
b) mesh generator that receives the said geometric model of said anatomical feature and the geometric model of a medical device, and generates a finite element model or mesh incorporating both said anatomical feature and said medical device; and c) stress/strain/deformation analyzer that receives said mesh incorporating both said anatomical feature and said medical device, material properties of said anatomical feature and said medical device, and load on said anatomical feature and/or said medical device, and simulates stresses, strains, and deformations of said medical device.
2. A system as defined in claim 1 where said geometric model of said anatomical feature is an idealized geometric model.
3. A system as defined in claim 1 where said three-dimensional volumetric data are acquired via CT scan.
4. A system as defined in claim 1 where said three-dimensional volumetric data are acquired via MRI.
5. A system as defined in claim 1 where said geometric model of a said medical device is for an endovascular prosthesis.
6. A system as defined in claim 5 where said endovascular prosthesis is a transluminally placed endovascular graft.
7. A system as defined in claim 5 where said endovascular prosthesis is a cardiovascular stent device.
8. A system as defined in claim 1 where said geometry generator is MIMICS.
9. A system as defined in claim 1 where said mesh generator is TRUEGRID.
10. A system as defined in claim 1 where said stress/strain/deformation analyzer is DYNA3D.
11. A system as defined in claim 1 where said stress/strain/deformation analyzer is NIKE3D.
12. A system as defined in claim 10 where said DYNA3D is modified to accommodate a strain energy density of the form:
W = a10(/1-3)+a01(/2-3)+a20(/1-3)2+a11(/1-3)(/2-3)+a02(l2-3)2+
a30(/1-3)+a21(/1-3)2(/2-3)+a12(/1-3)(/2-3)2+a03(/2-3)3+
1/2K(l3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
13. A system as defined in claim 11 where said NIKE3D is modified to accommodate a strain energy density of the form:
W = a10(/1-3)+a01(/2-3)+a20(/1-3)2+a11(/1-3)(/2-3)+a02(l2-3)2+
a30(/1-3)+a21(/1-3)2(/2-3)+a12(/1-3)(/2-3)2+a03(/2-3)3+
1/2K(/3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
14. A system as defined in claim 1 further comprising visualization tool that receives said stresses and strains on said medical device and anatomical feature and displays said stresses and strains on said medical device via visual representation.
15. A system as defined in claim 14 where said visualization tool is GRIZ.
16. A system for analyzing the use of a medical device comprising:
a) geometry generator that receives three-dimensional volumetric data of at least one anatomical feature of a particular individual and generates a geometric model of said anatomical feature;
b) mesh generator that receives the said geometric model of said anatomical feature and the geometric model of a medical device, and generates a finite element model or mesh incorporating both said anatomical feature and said medical device; and c) stress/strain/deformation analyzer that receives said mesh incorporating both said anatomical feature and said medical device, material properties of said anatomical feature and said medical device, and load on said anatomical feature and/or said medical device, and simulates stresses, strains, and deformation of said medical device.
17. A system as defined in claim 16 where said geometric model of said anatomical feature is an idealized geometric model.
18. A system as defined in claim 16 where said three-dimensional volumetric data are acquired via CT scan.
19. A system as defined in claim 16 where said three-dimensional volumetric data are acquired via MRI.
20. A system as defined in claim 16 where said geometric model of a said medical device is for an endovascular prosthesis.
21. A system as defined in claim 20 where said endovascular prosthesis is a transluminally placed endovascular graft.
22. A system as defined in claim 20 where said endovascular prosthesis is a cardiovascular stent device.
23. A system as defined in claim 16 where said geometry generator is MIMICS.
24. A system as defined in claim 16 where said mesh generator is TRUEGRID.
25. A system as defined in claim 16 where said stress/strain/deformation analyzer is DYNA3D.
26. A system as defined in claim 16 where said stress/strain/deformation analyzer is NIKE3D.
27. A system as defined in claim 25 where said DYNA3D is modified to accommodate a strain energy density of the form:

W = a20(/1-3)+a01(/2-3)+a20(/1-3)2+a11(/1-3)(/2-3)+a02(l2-3)2+
a30(/1-3)+a21(/1-3)2(/2-3)+a12(/1-3)(/2-3)2+a03(/2-3)3+
1/2K(/3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
28. A system as defined in claim 26 where said NIKE3D is modified to accommodate a strain energy density of the form:
W =a10(/1-3)+a01(/2-3)+a20(/1-3)2+a11(/1-3)(/2-3)+a02(l2-3)2+
a30(/1-3)+a21(/1-3)2(/2-3)+a12(/1-3)(/2-3)2+a03(/2-3)3+
1/2K(l3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modules given as a function of Poisson's ratio;
and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
29. A system as defined in claim 16 further comprising visualization tool that receives said stresses and strains on said medical device and anatomical feature and displays said stresses and strains on said medical device via visual representation.
30. A system as defined in claim 29 where said visualization tool is GRIZ.
31. A system for analyzing the use of medical device comprising:
a) mesh generator that receives a geometric model of in vitro feature and a geometric model of a medical device, and generates a finite element model or mesh incorporating both said in vitro feature and said medical device; and b) stress/strain/deformation analyzer that receives said mesh incorporating both said anatomical feature and said medical device, material properties of said anatomical feature and said medical device, and load on said anatomical feature and/or said medical device, and simulates stresses, strains, and deformations on said medical device.
32. A system as defined in claim 31 where said in vitro feature is a geometric model of an idealized anatomical feature.
33. A system as defined in claim 31 where said geometric model of said medical device is for an endovascular prosthesis.
34. A system as defined in claim 33 where said endovascular prosthesis is a transluminally placed endovascular graft.
35. A system as defined in claim 33 where said endovascular prosthesis is a cardiovascular scent device.
36. A system as defined in claim 31 where said mesh generator is TRUEGRID.
37. A system as defined in claim 31 where said stress/strain/deformation analyzer is DYNA3D.
38. A system as defined in claim 31 where said stress/strain/deformation analyzer is NIKE3D.
39. A system as defined in claim 37 where said DYNA3D is modified to accommodate a strain energy density of the form:

W = a10(/1 -3)+a01 (/2 -3)+a20(/1 -3)2+a11(/1 -3)(/2 -3)+a02(I2 -3)2+
a30(/1 -3)+a21(/1 -3)2(/2 -3)+a12(/1 -3)(/1 -3)2+a03(/2 -3)3+
1/2K(/3 -1)2 with K=2(a10+a01) / (1-2v) where a ij are material parameters;

v is Poisson's ratio;

K is the bulk modulus given as a function of Poisson's ratio;

and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
40. A system as defined in claim 38 where said NIKE3D is modified to accommodate a strain energy density of the form:

W = a10(~1-3)+a01(~2-3)+a20(~1-3)2+a11(~1-3)(~2-3)+a02(~2-3)2+
a30(~1-3)+a21(~1-3)2(~2-3)+a12(~1-3)(~2-3)2+a03(~2-3)3+
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and ~1, ~2, and ~3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
41. A system as defined in claim 31 further comprising visualization tool that receives said stresses and strains on said medical device and anatomical feature and displays said stresses and strains on said medical device via visual representation.
42. A system as defined in claim 41 where said visualization tool is GRIZ.
43. A system for analyzing the use a of medical device comprising:
a) mesh generator that receives a geometric model of a medical device, and generates a finite element model or mesh of said medical device; and b) stress/strain/deformation nonlinear analyzer that receives said mesh, material properties of said medical device, and load on said medical device, and simulates stresses, strains, and deformations on said medical device.
44. A system as defined in claim 43 where said geometric model of said medical device is for an endovascular prosthesis.
45. A system as defined in claim 44 where said endovascular prosthesis is a transluminally placed endovascular graft.
46. A system as defined in claim 44 where said endovascular prosthesis is a cardiovascular stent device.
47. A system as defined in claim 43 where said mesh generator is TRUEGRID.
48. A system as defined in claim 43 where said stress/strain/deformation analyzer is DYNA3D.
49. A system as defined in claim 43 where said stress/strain/deformation analyzer is NIKE3D.
50. A system as defined in claim 48 where said DYNA3D is modified to accommodate a strain energy density of the form:

W = a10(~1-3)+a01(~2-3)+a20(~1-3)2+a11(~1-3)(~2-3)+a02(~2-3)2+
a30(~1-3)+a21(~1-3)2(~2-3)+a12(~1-3)(~2-3)2 + a03(~2-3)3 +
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and ~1, ~2, and ~3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
51. A system as defined in claim 49 where said NIKE3D is modified to accommodate a strain energy density of the form:

W = a10(~1-3) + a01 (~2-3) + a20(~1-3)2 + a11(~1-3)(~2-3) + a02(~2-3)2 +
a30(~1-3) + a21 (~1-3)2(~2-3) + a12(~1-3)(~2-3)2 + a03(~2-3)3 +
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and ~1, ~2, and ~3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
52. A system as defined in claim 43 further comprising visualization tool that receives said stresses and strains on said medical device and anatomical feature and displays said stresses and strains on said medical device via visual representation.
53. A system as defined in claim 52 where said visualization tool is GRIZ.
54. A computer method for analyzing a medical device comprising:
a) acquiring three-dimensional volumetric data of at least one anatomical feature;
b) generating a geometric model of said three-dimensional volumetric data;
c) receiving data representing a geometric model of a candidate medical device design;
d) receiving said geometric model of said three-dimensional volumetric data;
e) generating a mesh model incorporating both said geometric model of said anatomical feature and said geometric model of said candidate medical device design;
f) receiving material properties of said mesh model;
g) receiving load data of said mesh model; and h) simulating stresses, strains, and deformation imposed on said candidate medical device design by said load data.
55. A method as defined in claim 54 further comprising the step of simulating stresses, strains, and deformations to a point of failure of said candidate medical device design.
56. A method as defined in claim 54 where said three-dimensional volumetric data are acquired via CT scan.
57. A method as defined in claim 54 where said three-dimensional volumetric data are acquired via MRI.
58. A method as defined in claim 54 where said geometric model of a medical device is for an endovascular prosthesis.
59. A method as defined in claim 58 where said endovascular prosthesis is a transluminally placed endovascular graft.
60. A method as defined in claim 58 where said endovascaular prosthesis is a cardiovascular stent device.
61. A method as defined in claim 54 where said geometric model for three-dimensional volumetric data is generated by a MIMICS software application.
62. A method as defined in claim 54 where said mesh is generated by TRUEGRID.
63. A method as defined in claim 54 where said stresses, strains, and deformations are simulated by a DYNA3D software application.
64. A method as defined in claim 54 where said stresses, strains, and deformations are simulated by a NIKE3D software application.
65. A method as defined in claim 63 where said DYNA3D is modified to accommodate a strain energy density of the form:
W = a10(~1-3) + a01 (~2-3) + a20(~1-3)2 + a11(~1-3)(~2-3) + a02(~2-3)2 +
a30(~1-3)+a21(~1-3)2(~2-3)+a12(~1-3)(~2-3)2+a03(~2-3)3+
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
66. A method as defined in claim 64 where said NIKE3D is modified to accommodate a strain energy density of the form:

W = a10(/1-3) + a01(/2-3) + a20(/1-3)2 + a11(/1-3) (/2-3) + a02(/2-3)2 +
a30(/1-3) + a21 (/1-3)2(/2-3) + a12(/1-3)(/2-3)2 + a03(/2-3)3 +
1/2K(/3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and /1, /2, and /3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
67. A method as defined in claim 54 where said stress/strain/deformation analysis is done using a non-linear finite element analysis tool.
68. A method as defined in claim 54 further comprising the step of receiving results of said stress, strain, and deformation analysis into a visualization tool and where said visualization tool visually presents the strains, stresses, and deformations on said medical device.
69. A method as defined in claim 68 where said visualization means is GRIZ.
70. A method for analyzing a medical device comprising:
a) acquiring three-dimensional volumetric data of at least one anatomical feature of a particular individual;
b) generating a geometric model of said three-dimensional volumetric data;
c) receiving a geometric model of a candidate medical device;
d) receiving said geometric model of said three-dimensional volumetric data;
e) generating a mesh model incorporating both said geometric model of said anatomical feature and geometric model of said z candidate medical device;
f) receiving material properties of said mesh;
g) receiving load of said mesh; and h) simulating dynamic or quasi-static stresses, strains, and deformations imposed on medical device.
71. A method as defined in claim 70 further comprising the step of simulating stresses, strains, and deformations to point of failure of said medical device.
72. A method as defined in claim 70 where said three-dimensional volumetric data are acquired via CT scan.
73. A method as defined in claim 70 where said three-dimensional volumetric data are acquired via MRI.
74. A method as defined in claim 70 where said geometric model of a medical device is for an endovascular prosthesis.
75. A method as defined in claim 74 where said endovascular prosthesis is a transluminally placed endovascular graft.
76. A method as defined in claim 74 where said endovascular prosthesis is a cariovascaular stent device.
77. A method as defined in claim 70 where said generating geometric means for three-dimensional volumetric data is MIMICS.
78. A method as defined in claim 70 where said mesh generating means is TRUEGRID.
79. A method as defined in claim 70 where said stress/strain/deformation simulating means is DYNA3D.
80. A method as defined in claim 70 where said stress/strain/deformation simulating means is NIKE3D.
81. A method as defined in claim 79 where said DYNA3D is modified to accommodate a strain energy density of the form:

W = a10(~1-3) + a01(~2-3) + a20(~1-3)2 + a11(~1-3)(~2-3) + a02(~2-3)2 +
a30(~1-3) + a21(~1-3)2(~2-3) + a12(~1-3)(~2-3)2 + a03(~2-3)3 +
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and ~1, ~2, and ~3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
82. A method as defined in claim 80 where said NIKE3D is modified to accommodate a strain energy density of the form:
W = a10(~1-3) + a01(~2-3) + a20(~1-3)2 + a11(~1-3)(~2-3) + a02(~2-3)2+
a30(~1-3) + a21(~1-3)2(~2-3) + a12(~1-3)(~2-3)2 + a03(~2-3)3 +
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and ~1, ~2, and ~3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
83. A method as defined in claim 70 where said stress/strain/deformation analysis is done using a non-linear finite element analysis tool.
84. A method as defined in claim 70 further comprising the step of receiving results of said stress and strain analysis into a visualization tool and where said visualization tool visually presents the strains and stresses on said medical device.
85. A method as defined in claim 84 where said visualization means is GRIZ.
86. A computer method for analyzing a medical device comprising:
a) receiving data representing an in vitro model and a geometric model of a candidate medical device design;
b) generating a mesh incorporating both said geometric model of said in vitro model and geometric model of said candidate medical device design;
c) receiving material properties of said mesh;
d) receiving load data of said mesh; and e) simulating stresses, strains, and deformations imposed on said medical device by said load data.
87. A method as defined in claim 86 further comprising the step of simulating stresses and strains to point of failure of said medical device.
88. A method as defined in claim 86 where said geometric model of a medical device is for an endovascular prosthesis.
89. A method as defined in claim 88 where said endovascular prosthesis is a transluminally placed endovascular graft.
90. A method as defined in claim 88 where said endovascular prosthesis is a cardiovascular stent device.
91. A method as defined in claim 86 where said mesh generating means is TRUEGRID.
92. A method as defined in claim 86 where said stress/strain/deformation simulating means is DYNA3D.
93. A method as defined in claim 86 where said stress/strain/deformation simulating means is NIKE3D.
94, A method as defined in claim 92 where said DYNA3D is modified to accommodate a strain energy density of the form:
W = a10(~1-3)+a01(~2-3)+a20(~1-3)2+a11(~1-3)(~2-3)+a02(~2-3)2+
a30(~1-3) + a21(~1-3)2(~2-3) + a12(~1-3)(~2-3)2 + a03(~2-3)3 +
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and ~1, ~2, and ~3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
95. A method as defined in claim 93 where said NIKE3D is modified to accommodate a strain energy density of the form:

W = a10(~1-3) + a01(~2-3) + a20(~1-3)2 + a11(~1-3)(~2-3) + a02(~2-3)2 +
a30(~1-3) + a21(~1-3)2(~2-3) + a12(~1-3)(~2-3)2 + a03(~2-3)3 +
1/2K(~3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;

K is the bulk modulus given as a function of Poisson's ratio;
and l1, l2, and l3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
96. A method as defined in claim 86 where said stress/strain/deformation analysis is done using a non-linear finite element analysis tool.
97. A method as defined in claim 86 further comprising the step of receiving results of said stress, strain, and deformation analysis into a visualization tool and where said visualization tool visually presents the strains and stresses on said medical device.
98. A method as defined in claim 97 where said visualization means is GRIZ.
99. A method for analyzing a medical device comprising:
a) receiving a geometric model of a candidate medical device design;
b) generating a mesh of said candidate medical device design;
c) receiving material properties of said mesh;
d) receiving load of said mesh; and e) simulating stresses, strains, and deformations imposed on said medical device.
100. A method as defined in claim 99 further comprising the step of simulating stresses and strains to point of failure of said medical device.
101. A method as defined in claim 99 where said geometric model of a medical device is for an endovascular prosthesis.
102. A method as defined in claim 101 where said endovascular prosthesis is a transluminally placed endovascular graft.
103. A method as defined in claim 101 where said endovascular prosthesis is a cardiovascular stent device.
104. A method as defined in claim 99 where said mesh generating means is TRUEGRID.
105. A method as defined in claim 99 where said stress1strain1deformation simulating means is DYNA3D.
106. A method as defined in claim 99 where said stress1strain1deformation simulating means is NIKE3D.
107. A method as defined in claim 105 where said DYNA3D is modified to accommodate a strain energy density of the form:
W = a10(l1-3)+a01(l2-3)+a20(l1-3)2+a11(l1-3)(l2-3)+a02(l2-3)2+
a30(l1-3)+a21(l1-3)2(l2-3)+a12(l1-3)(l1-3)2+a03(l2-3)3+
1/2K(l3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and l1, l2, and l3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
108. A method as defined in claim 106 where said NIKE3D is modified to accommodate a strain energy density of the form:
W = a10(l1-3)+a01(l2-3)+a20(l1-3)2+a11(l1-3)(l2-3)+a02(l2-3)2+
a30(l1-3)+a21(l1-3)2(l1-3)+a12(l1-3)(l2-3)2+a03(l2-3)3+
1/2 K(l3-1)2 with K = 2(a10 + a01) / (1 - 2v) where a ij are material parameters;
v is Poisson's ratio;
K is the bulk modulus given as a function of Poisson's ratio;
and l1, l2, and l3 are the first, second, and third invariants of the right Cauchy-Green strain tensor, respectively.
109. A method as defined in claim 99 where said stress/strain/deformation analysis is done using a non-linear finite element analysis tool.
110. A method as defined in claim 99 further comprising the step of receiving results of said stress, strain, and deformation analysis into a visualization tool and where said visualization tool visually presents the strains and stresses on said medical device.
111. A method as defined in claim 110 where said visualization means is GRIZ.
CA2424252A 2000-10-04 2001-09-28 Virtual prototyping and testing for medical device development Expired - Lifetime CA2424252C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US09/679,725 2000-10-04
US09/679,725 US7840393B1 (en) 2000-10-04 2000-10-04 Virtual prototyping and testing for medical device development
PCT/US2001/030480 WO2002029758A2 (en) 2000-10-04 2001-09-28 Virtual prototyping and testing for medical device development

Publications (2)

Publication Number Publication Date
CA2424252A1 true CA2424252A1 (en) 2002-04-11
CA2424252C CA2424252C (en) 2012-04-17

Family

ID=24728089

Family Applications (1)

Application Number Title Priority Date Filing Date
CA2424252A Expired - Lifetime CA2424252C (en) 2000-10-04 2001-09-28 Virtual prototyping and testing for medical device development

Country Status (6)

Country Link
US (3) US7840393B1 (en)
EP (1) EP1358648A2 (en)
JP (1) JP2004528858A (en)
AU (1) AU2001293179A1 (en)
CA (1) CA2424252C (en)
WO (1) WO2002029758A2 (en)

Families Citing this family (73)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7840393B1 (en) * 2000-10-04 2010-11-23 Trivascular, Inc. Virtual prototyping and testing for medical device development
US8533029B2 (en) 2001-04-02 2013-09-10 Invivodata, Inc. Clinical monitoring device with time shifting capability
US8065180B2 (en) * 2001-04-02 2011-11-22 invivodata®, Inc. System for clinical trial subject compliance
US7873589B2 (en) 2001-04-02 2011-01-18 Invivodata, Inc. Operation and method for prediction and management of the validity of subject reported data
GB0220514D0 (en) 2002-09-04 2002-10-09 Depuy Int Ltd Acetabular cup spacer arrangement
US7150758B2 (en) 2003-03-06 2006-12-19 Boston Scientific Santa Rosa Corp. Kink resistant endovascular graft
US7937253B2 (en) 2004-03-05 2011-05-03 The Procter & Gamble Company Virtual prototyping system and method
US20050267613A1 (en) 2004-03-05 2005-12-01 Anast John M Method to quantitativley analyze a model
EP1811896A4 (en) * 2004-06-23 2009-08-19 M2S Inc Anatomical visualization and measurement system
US7899516B2 (en) 2004-06-23 2011-03-01 M2S, Inc. Method and apparatus for determining the risk of rupture of a blood vessel using the contiguous element defined area
US7340316B2 (en) * 2004-06-28 2008-03-04 Hanger Orthopedic Group, Inc. System and method for producing medical devices
DE102004044435A1 (en) * 2004-09-14 2006-03-30 Siemens Ag Method and device for diagnosis and therapy of the aortic aneurysm
US7865001B2 (en) 2004-12-17 2011-01-04 Koninklijke Philips Electronics N.V. System and method for predicting physical properties of an aneurysm from a three-dimensional model thereof
EP1746559A1 (en) * 2005-07-20 2007-01-24 Richstone Consulting LLC A method for simulating a manual interventional operation by a user in a medical procedure
US20070293936A1 (en) * 2006-04-28 2007-12-20 Dobak John D Iii Systems and methods for creating customized endovascular stents and stent grafts
US8550344B2 (en) * 2006-06-16 2013-10-08 The Invention Science Fund I, Llc Specialty stents with flow control features or the like
US8478437B2 (en) * 2006-06-16 2013-07-02 The Invention Science Fund I, Llc Methods and systems for making a blood vessel sleeve
US20080133040A1 (en) * 2006-06-16 2008-06-05 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Methods and systems for specifying a blood vessel sleeve
US8551155B2 (en) * 2006-06-16 2013-10-08 The Invention Science Fund I, Llc Stent customization system and method
US20080172073A1 (en) * 2006-06-16 2008-07-17 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Active blood vessel sleeve
US20090024152A1 (en) * 2007-07-17 2009-01-22 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Custom-fitted blood vessel sleeve
JP4968821B2 (en) * 2006-07-12 2012-07-04 学校法人早稲田大学 Blood vessel motion simulator
JP4968822B2 (en) * 2006-07-12 2012-07-04 学校法人早稲田大学 Blood vessel motion simulator
US7979256B2 (en) 2007-01-30 2011-07-12 The Procter & Gamble Company Determining absorbent article effectiveness
EP2194879B1 (en) * 2007-08-17 2020-05-13 Zimmer, Inc. Implant design analysis suite
WO2009049681A1 (en) * 2007-10-19 2009-04-23 Vascops Automatic geometrical and mechanical analyzing method and system for tubular structures
US8200466B2 (en) 2008-07-21 2012-06-12 The Board Of Trustees Of The Leland Stanford Junior University Method for tuning patient-specific cardiovascular simulations
US8380531B2 (en) 2008-07-25 2013-02-19 Invivodata, Inc. Clinical trial endpoint development process
US9405886B2 (en) 2009-03-17 2016-08-02 The Board Of Trustees Of The Leland Stanford Junior University Method for determining cardiovascular information
US10719986B2 (en) * 2009-12-22 2020-07-21 Siemens Healthcare Gmbh Method and system for virtual percutaneous valve implantation
US20110313508A1 (en) * 2010-06-21 2011-12-22 Vijaya Kolachalama Endovascular platforms for uniform therapeutic delivery to local targets
US8315812B2 (en) 2010-08-12 2012-11-20 Heartflow, Inc. Method and system for patient-specific modeling of blood flow
JP6316744B2 (en) * 2011-04-12 2018-04-25 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. Embedded 3D modeling
US8577693B2 (en) 2011-07-13 2013-11-05 The Invention Science Fund I, Llc Specialty stents with flow control features or the like
WO2013031744A1 (en) * 2011-08-26 2013-03-07 イービーエム株式会社 System for diagnosing bloodflow characteristics, method thereof, and computer software program
US8818544B2 (en) 2011-09-13 2014-08-26 Stratasys, Inc. Solid identification grid engine for calculating support material volumes, and methods of use
US8978448B2 (en) 2011-10-11 2015-03-17 Trivascular, Inc. In vitro testing of endovascular device
US10276054B2 (en) 2011-11-29 2019-04-30 Eresearchtechnology, Inc. Methods and systems for data analysis
US10831936B2 (en) 2012-03-30 2020-11-10 Regents Of The University Of Minnesota Virtual design
US9811613B2 (en) 2012-05-01 2017-11-07 University Of Washington Through Its Center For Commercialization Fenestration template for endovascular repair of aortic aneurysms
US9636238B2 (en) * 2012-05-04 2017-05-02 University Of Washington System to evaluate prosthetic sockets
CA2905050C (en) 2013-03-15 2018-03-06 The Cleveland Clinic Foundation Method and system to facilitate intraoperative positioning and guidance
GB201308979D0 (en) 2013-05-17 2013-07-03 Vascutek Ltd Analysis, design and production of products comprising superelastic materials
EP3035884B1 (en) * 2013-08-13 2022-11-23 Regents of the University of Minnesota Computer visualization of anatomical items
US10145928B2 (en) * 2013-11-28 2018-12-04 Medimagemetric LLC Differential approach to quantitative susceptibility mapping without background field removal
EP3091931B8 (en) * 2014-01-06 2020-04-01 Koninklijke Philips N.V. Deployment modelling
GB201402643D0 (en) 2014-02-14 2014-04-02 Univ Southampton A method of mapping images of human disease
US9636872B2 (en) 2014-03-10 2017-05-02 Stratasys, Inc. Method for printing three-dimensional parts with part strain orientation
EP3140761A4 (en) * 2014-05-07 2017-04-05 Siemens Healthcare Diagnostics Inc. Intelligent service assistant - instrument side software client
US10881461B2 (en) 2014-08-07 2021-01-05 Henry Ford Health System Method of analyzing hollow anatomical structures for percutaneous implantation
US9754053B2 (en) * 2014-08-11 2017-09-05 The Boeing Company System and method for reading geometric data from a computer-aided design (CAD) model
US9693830B2 (en) 2014-12-10 2017-07-04 Henry Ford Health System Evaluating prosthetic heart valve placement
EP3247301B1 (en) 2015-01-22 2020-10-28 Koninklijke Philips N.V. Endograft visualization with optical shape sensing
EP3932366A3 (en) 2015-04-23 2022-01-19 Aortica Corporation Devices for anatomic mapping for prosthetic implants
JP5839638B1 (en) * 2015-06-01 2016-01-06 川澄化学工業株式会社 Tubular treatment device design apparatus, tubular treatment device manufacturing method, and tubular treatment device design program
EP3101566A1 (en) * 2015-06-05 2016-12-07 Invenio Virtual Technologies GmbH Method and device for testing the assemblability of a virtual prototype
WO2017007947A1 (en) 2015-07-08 2017-01-12 Aortica Corporation Devices and methods for anatomic mapping for prosthetic implants
AU2017285041A1 (en) 2016-06-13 2019-01-31 Aortica Corporation Systems, devices, and methods for marking and/or reinforcing fenestrations in prosthetic implants
KR101781498B1 (en) * 2016-06-27 2017-09-25 부산대학교 산학협력단 Patient-specific medical stent manufacturing method easy to cultivate endothelium
CN109789009B (en) 2016-08-02 2021-04-16 主动脉公司 Systems, devices, and methods for coupling a prosthetic implant to an fenestration
CN109564471B (en) 2016-08-12 2022-08-23 波士顿科学国际有限公司 Distributed interactive medical visualization system with primary/secondary interaction features
CN109564785A (en) 2016-08-12 2019-04-02 波士顿科学国际有限公司 Distributed interactive medical visualization system with user interface feature
FR3057460B1 (en) * 2016-10-18 2018-12-07 Universite Jean Monnet Saint Etienne METHOD FOR ASSISTING THE IMPLEMENTATION OF AN IMPLANTABLE DEPLOYABLE DEVICE
JP7019694B2 (en) 2016-11-08 2022-02-15 ヘンリー フォード ヘルス システム Selection of medical equipment for use in medical procedures
US10568696B2 (en) * 2017-07-17 2020-02-25 International Business Machines Corporation Apparatus for supporting personalized coronary stents
CN115813605A (en) 2017-09-25 2023-03-21 波尔顿医疗公司 Systems, devices, and methods for coupling a prosthetic implant to an fenestration
WO2019152850A1 (en) 2018-02-02 2019-08-08 Centerline Biomedical, Inc. Segmentation of anatomic structures
EP3745976A4 (en) 2018-02-02 2021-10-06 Centerline Biomedical, Inc. Graphical user interface for marking anatomic structures
RU2706996C1 (en) * 2018-12-21 2019-11-21 Алексей Алексеевич Капутовский Method of manufacturing individual ergonomic handles of laparoscopic surgical instruments using three-dimensional printing
CN113573641A (en) 2019-04-04 2021-10-29 中心线生物医药股份有限公司 Tracking system using two-dimensional image projection and spatial registration of images
WO2020206423A1 (en) 2019-04-04 2020-10-08 Centerline Biomedical, In C. Registration of spatial tracking system with augmented reality display
US11893902B1 (en) 2021-05-11 2024-02-06 Prabhu Swaminathan Educational training system using mechanical models
CN114199600B (en) * 2021-12-06 2023-07-28 中国运载火箭技术研究院 Sample machine integrated adapter

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4663720A (en) * 1984-02-21 1987-05-05 Francois Duret Method of and apparatus for making a prosthesis, especially a dental prosthesis
NL8702626A (en) * 1987-11-03 1989-06-01 Orthopaedic Tech Bv METHOD FOR FORMING A GEOMETRY OF AN ENDOPROTHESIS, A FEMUR HEAD PROSTHESIS, AN ACETABULUM PROSTHESIS, A METHOD FOR BOTTING A FEMUR HEAD PROSTHESIS AND AN INSTRUMENT FOR PLACING ACROTHESES
EP0425714A1 (en) * 1989-10-28 1991-05-08 Metalpraecis Berchem + Schaberg Gesellschaft Für Metallformgebung Mbh Process for manufacturing an implantable joint prosthesis
US5273038A (en) * 1990-07-09 1993-12-28 Beavin William C Computer simulation of live organ
US5755782A (en) * 1991-01-24 1998-05-26 Autogenics Stents for autologous tissue heart valve
US5233992A (en) * 1991-07-22 1993-08-10 Edison Biotechnology Center MRI method for high liver iron measurement using magnetic susceptibility induced field distortions
US5365996A (en) 1992-06-10 1994-11-22 Amei Technologies Inc. Method and apparatus for making customized fixation devices
US5506785A (en) * 1993-02-11 1996-04-09 Dover Systems Corporation Method and apparatus for generating hollow and non-hollow solid representations of volumetric data
US5590261A (en) 1993-05-07 1996-12-31 Massachusetts Institute Of Technology Finite-element method for image alignment and morphing
US5601084A (en) * 1993-06-23 1997-02-11 University Of Washington Determining cardiac wall thickness and motion by imaging and three-dimensional modeling
DE4341367C1 (en) * 1993-12-04 1995-06-14 Harald Dr Med Dr Med Eufinger Process for the production of endoprostheses
US5594651A (en) * 1995-02-14 1997-01-14 St. Ville; James A. Method and apparatus for manufacturing objects having optimized response characteristics
US6121042A (en) 1995-04-27 2000-09-19 Advanced Tissue Sciences, Inc. Apparatus and method for simulating in vivo conditions while seeding and culturing three-dimensional tissue constructs
JPH096720A (en) 1995-06-15 1997-01-10 Canon Inc Method and system for transmitting information
DE69722961T2 (en) * 1997-01-08 2004-05-13 Clynch Technologies, Inc., Calgary METHOD FOR PRODUCING INDIVIDUALLY ADAPTED MEDICAL DEVICES
US5880976A (en) * 1997-02-21 1999-03-09 Carnegie Mellon University Apparatus and method for facilitating the implantation of artificial components in joints
US5741327A (en) * 1997-05-06 1998-04-21 Global Therapeutics, Inc. Surgical stent featuring radiopaque markers
US6201543B1 (en) 1997-12-17 2001-03-13 Siemens Corporate Research, Inc. Framework for segmentation of cylindrical structures using two dimensional hybrid models
US6381562B2 (en) * 1998-07-13 2002-04-30 John A. Keane Configurable bio-transport system simulator
US6301496B1 (en) * 1998-07-24 2001-10-09 Biosense, Inc. Vector mapping of three-dimensionally reconstructed intrabody organs and method of display
US20020068968A1 (en) 2000-08-16 2002-06-06 Thomas Hupp Virtual stent making process based upon novel enhanced plate tectonics derived from endoluminal mapping
US7840393B1 (en) 2000-10-04 2010-11-23 Trivascular, Inc. Virtual prototyping and testing for medical device development
US20020103505A1 (en) 2001-02-01 2002-08-01 Medtronic, Inc. Custom manufacturing of implantable medical devices
US6684754B2 (en) 2001-07-10 2004-02-03 Alan Elbert Comer Pneumatic muscle analogs for exoskeletal robotic limbs and associated control mechanisms
US20070203679A1 (en) 2005-11-17 2007-08-30 Macura Matthew J Virtual prototyping system and method

Also Published As

Publication number Publication date
CA2424252C (en) 2012-04-17
US8666714B2 (en) 2014-03-04
US8224632B2 (en) 2012-07-17
WO2002029758A2 (en) 2002-04-11
AU2001293179A1 (en) 2002-04-15
EP1358648A2 (en) 2003-11-05
US20120316854A1 (en) 2012-12-13
US7840393B1 (en) 2010-11-23
US20110029297A1 (en) 2011-02-03
WO2002029758A3 (en) 2003-07-10
JP2004528858A (en) 2004-09-24

Similar Documents

Publication Publication Date Title
CA2424252A1 (en) Virtual prototyping and testing for medical device development
Richmond et al. Finite element analysis in functional morphology
Dolbow et al. Discontinuous enrichment in finite elements with a partition of unity method
Bright et al. Sensitivity and ex vivo validation of finite element models of the domestic pig cranium
Gröning et al. Modeling the human mandible under masticatory loads: which input variables are important?
d'Aulignac et al. A shell finite element model of the pelvic floor muscles
Weiss et al. Three-dimensional finite element modeling of ligaments: technical aspects
Marinescu et al. Finite‐element modeling of the anthropoid mandible: the effects of altered boundary conditions
Wong et al. Review of biomechanical models used in studying the biomechanics of reconstructed mandibles
De Matos et al. On the accurate assessment of crack opening and closing stresses in plasticity-induced fatigue crack closure problems
Toro‐Ibacache et al. Validity and sensitivity of a human cranial finite element model: implications for comparative studies of biting performance
Donatelli et al. A design for framework-independent model components of biophysical systems
Lu et al. Development of human posture simulation method for assessing posture angles and spinal loads
Vena et al. A constituent-based model for the nonlinear viscoelastic behavior of ligaments
Liu et al. Real-time simulation of virtual palpation system
Chizari et al. Post-operative assessment of an implant fixation in anterior cruciate ligament reconstructive surgery
Brown Finite element modeling in musculoskeletal biomechanics
Halsne et al. Emulating the effective ankle stiffness of commercial prosthetic feet using a robotic prosthetic foot emulator
Borzeszkowski et al. Isogeometric shell analysis of the human abdominal wall
Tsiatas et al. Innovative Approaches in Computational Structural Engineering
Karathanasopoulos et al. TendonMech: An open source high performance code to compute the mechanical behavior of tendon fascicles
Schwartz et al. Modeling and Simulation Workflow Using Open Knee (s) Data
Frisch Man/machine interaction dynamics and performance analysis
Lei et al. Study on circumpelvic muscle deformation and dynamic simulation of pelvic fracture reduction
Kuchta et al. FEM analysis of arch cast partials

Legal Events

Date Code Title Description
EEER Examination request
MKEX Expiry

Effective date: 20210928