Systems and methods for identifying personalized vascular implants from patient-specific anatomic data
Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring a geometric model of at least a portion of a patient's vascular system; obtaining one or more geometric quantities of one or more blood vessels of the geometric model of the patient's vascular system; determining the presence or absence of a pathology characteristic at a location in the geometric model of the patient's vascular system; generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and optimizing the objective function using computational fluid dynamics and structural mechanics analysis to identify a plurality of device variables that result in desired hemodynamic and solid mechanics characteristics.
1. A method of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising:
acquiring a geometric model of at least a portion of a patient's vascular system; obtaining a geometric value associated with a blood vessel of the geometric model of the patient's vascular system;
determining a pathology characteristic at a location in the geometric model of the patient's vascular system;
determining one or more device variables based on the obtained geometric value and the determined pathology characteristic; and
recommending a device or delivery system based on the determined one or more device variables.
2. The method of claim 1 , wherein the device includes an implantable device or a device for delivery of an implantable device.
3. The method of claim 1 , further comprising:
generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and
recommending the device or delivery system further based on the generated objective function.
4. The method of claim 1 , further comprising acquiring one or more physiological parameters chosen from patient age, gender, height, weight, heart rate, systolic and diastolic blood pressure, blood properties, cardiac function, and epicardial fat volume.
5. The method according to claim 4 , wherein the blood properties are chosen from at least one of plasma, red blood cells, hematocrit, white blood cells, platelets, viscosity, and yield stress.
6. The method according to claim 4 , wherein the one or more physiological parameters are measured or estimated.
7. The method according to claim 1 , wherein the geometric model comprises a patient-specific model of geometry for one or more of blood vessels, myocardium, aorta, valves, plaques, and chambers.
8. The method according to claim 3 , wherein the objective function is chosen from at least one of patient benefit, cost, safety, and fracture risk.
9. The method according to claim 1 , wherein the device variables are chosen from stent type, stent length, symmetry, materials, percentage metal coverage, surface finish, tapering, contour, or cross-section of a stent, strut geometry, and drug content or dose.
10. The method according to claim 9 , wherein the strut geometry comprises at least one of shape, thickness, spacing, and number of struts.
11. The method according to claim 3 , wherein the hemodynamic and solid mechanics characteristics comprise metrics for device optimization.
12. The method according to claim 11 , wherein the metrics for device optimization are chosen from flow mechanics characteristics, solid mechanics characteristics, and clinical event characteristics.
13. The method according to claim 3 , wherein the hemodynamic and solid mechanics characteristics comprise metrics for delivery system optimization.
14. The method according to claim 13 , wherein the metrics for delivery system optimization are chosen from length, flexibility or functionality of the delivery system, shape of guide-wire, balloon pressure, and balloon compliance.
15. A system for identifying a personalized cardiovascular device based on patient-specific geometrical information, the system comprising:
a data storage device storing instructions for identifying a personalized cardiovascular device based on patient-specific geometrical information; and
a processor configured to execute the instructions to perform a method including the steps of:
acquiring a geometric model of at least a portion of a patient's vascular system;
obtaining a geometric value associated with a blood vessel of the geometric model of the patient's vascular system;
determining a pathology characteristic at a location in the geometric model of the patient's vascular system;
determining one or more device variables based on the obtained geometric value and the determined pathology characteristic; and
recommending a device or delivery system based on the determined one or more device variables.
16. The system of claim 15 , wherein the system is further configured for:
generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and
recommending the device or delivery system further based on the generated objective function.
17. The system of claim 16 , wherein the objective function is chosen from at least one of patient benefit, cost, safety, and fracture risk.
18. A non-transitory computer readable medium for use on at least a computer system containing computer-executable programming instructions for identifying a personalized cardiovascular device based on patient-specific geometrical information, the instructions being executable by the computer system for performing a method for identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising:
acquiring a geometric model of at least a portion of a patient's vascular system; obtaining a geometric value associated with a blood vessel of the geometric model of the patient's vascular system;
determining a pathology characteristic at a location in the geometric model of the patient's vascular system;
determining one or more device variables based on the obtained geometric value and the determined pathology characteristic; and
recommending a device or delivery system based on the determined one or more device variables.
19. The non-transitory computer readable medium of claim 18 , the method further comprising:
generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and
recommending the device or delivery system further based on the generated objective function.
20. The non-transitory computer readable medium according to claim 19 , wherein the objective function is chosen from at least one of patient benefit, cost, safety, and fracture risk.