Systems and methods for embolism prediction using embolus source and destination probabilities

• US 9,864,840 B2
• Filed: 04/08/2016
• Issued: 01/09/2018
• Est. Priority Date: 01/14/2015
• Status: Active Grant

• Current Assignee: Heartflow Inc.
• Original Assignee: Heartflow Inc.
• Inventors: Grady, Leo, Choi, Gilwoo, Taylor, Charles A., Zarins, Christopher K.
• Primary Examiner(s): Koziol, Stephen R
• Assistant Examiner(s): SCHWARTZ, RAPHAEL M
• Application Number:
  US15/093,985
• Publication Number:
  US 20160224743A1
• Time in Patent Office: 641 Days
• CPC Class Codes: A61B 2034/105 Modelling of the patient, e.g. for ligaments or bones
• CPC Class Codes: A61B 2034/107 Visualisation of planned trajectories or target regions
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Systems and methods are disclosed for determining a patient risk assessment or treatment plan based on emboli dislodgement and destination. One method includes receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient'"'"'s vasculature; determining or receiving a location of interest in the patient-specific anatomic model of the patient'"'"'s vasculature; using a computing processor for calculating blood flow through the patient-specific anatomic model to determine blood flow characteristics through at least the portion of the patient'"'"'s vasculature of the patient-specific anatomic model downstream from the location of interest; and using a computing processor for particle tracking through the simulated blood flow to determine a destination probability of an embolus originating from the location of interest in the patient-specific anatomic model, based on the determined blood flow characteristics.

Claims

1. A computer-implemented method of determining a patient risk assessment or treatment plan based on emboli destination probabilities, the method comprising:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient'"'"'s vasculature;

receiving a plurality of embolic source locations of the patient'"'"'s vasculature;

determining a destination location of interest in the patient-specific anatomic model of the patient'"'"'s vasculature, wherein the destination location of interest is an embolus destination or an embolism location in the patient'"'"'s vasculature;

determining, for each embolic source location, a particle size, a number of particles associated with imaging, or a disease severity corresponding to the respective embolic source location;

determining, for each embolic source location, a destination probability of an embolus, based on the determined particle size, the determined number of particles, or the determined disease severity, wherein the destination probability is a probability that the embolus reaches the destination location of interest; and

determining a selected embolic source location of the plurality of embolic source locations, either by comparing a determined destination probability associated with one embolic source location against a determined destination probability associated with a second source location, or by comparing a determined destination probability against a threshold probability.

2. The computer-implemented method of claim 1, further comprising:

simulating blood flow through the patient-specific anatomic model; and

determining the destination probability for each embolic source location by virtually tracking the embolus through the simulated blood flow.

3. The computer-implemented method of claim 2, further comprising:

determining one or more locations of atherosclerotic plaques in the patient'"'"'s vasculature, wherein the plurality of embolic source locations of the patient'"'"'s vasculature are based on the one or more locations of atherosclerotic plaques.

4. The computer-implemented method of claim 1, further comprising:

determining the destination location of interest by ranking locations of the patient'"'"'s vasculature vulnerable to embolism.

5. The computer-implemented method of claim 1, further comprising:

determining, for the selected embolic source location, a treatment based on the blood flow characteristics through at least the portion of the patient'"'"'s vasculature and the destination probability of the embolus.

6. The computer-implemented method of claim 1, further comprising:

determining one or more blood flow characteristics through at least the portion of the patient'"'"'s vasculature; and

determining the destination probability for each embolic source location, based on the one or more determined blood flow characteristics through at least the portion of the patient'"'"'s vasculature.

7. The computer-implemented method of claim 1, further comprising:

determining, for the destination location of interest, a risk of embolism or a patient risk of disease based on the determined destination probability.

8. The computer-implemented method of claim 7, wherein the patient risk for the disease includes patient risk for a disease associated with the destination location of interest.

9. A system for determining a patient risk assessment or treatment plan based on emboli destination probabilities, the system comprising:

a data storage device storing instructions for determining a patient risk assessment or treatment plan based on emboli destination probabilities; and

a processor configured to execute the instructions to perform a method including;

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient'"'"'s vasculature;

receiving a plurality of embolic source locations of the patient'"'"'s vasculature;

determining a destination location of interest in the patient-specific anatomic model of the patient'"'"'s vasculature, wherein the destination location of interest is an embolus destination or an embolism location in the patient'"'"'s vasculature;

determining, for each embolic source location, a particle size, a number of particles associated with imaging, or a disease severity corresponding to the respective embolic source location;

determining, for each embolic source location, a destination probability of an embolus, based on the determined particle size, the determined number of particles, or the determined disease severity, wherein the destination probability is a probability that the embolus reaches the destination location of interest; and

determining a selected embolic source location of the plurality of embolic source locations, either by comparing a determined destination probability associated with one embolic source location against a determined destination probability associated with a second source location, or by comparing a destination probability against a threshold probability.

10. The system of claim 9, wherein the system is further configured for:

simulating blood flow through the patient-specific anatomic model; and

determining the destination probability for each embolic source location by virtually tracking the embolus through the simulated blood flow.

11. The system of claim 10, wherein the system is further configured for:

determining one or more locations of atherosclerotic plaques in the patient'"'"'s vasculature, wherein the plurality of embolic source locations of the patient'"'"'s vasculature are based on the one or more locations of atherosclerotic plaques.

12. The system of claim 11, wherein the system is further configured for:

determining the destination location of interest by ranking locations of the patient'"'"'s vasculature vulnerable to embolism.

13. The system of claim 9, wherein the system is further configured for:

determining, for the selected embolic source location, a treatment based on the blood flow characteristics through at least the portion of the patient'"'"'s vasculature and the destination probability of the embolus.

14. The system of claim 9, wherein the system is further configured for:

determining one or more blood flow characteristics through at least the portion of the patient'"'"'s vasculature; and

determining the destination probability for each embolic source location, based on the one or more determined blood flow characteristics through at least the portion of the patient'"'"'s vasculature.

15. The system of claim 9, wherein the system is further configured for:

determining, for the destination location of interest, a risk of embolism or a patient risk of disease based on the determined destination probability.

16. The system of claim 15, wherein the patient risk for the disease includes patient risk for a disease associated with the destination location of interest.

17. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of determining a patient risk assessment or treatment plan based on emboli destination probabilities, the method comprising:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient'"'"'s vasculature;

receiving a plurality of embolic source locations of the patient'"'"'s vasculature;

determining a destination location of interest in the patient-specific anatomic model of the patient'"'"'s vasculature, wherein the destination location of interest is an embolus destination or an embolism location in the patient'"'"'s vasculature;

determining, for each embolic source location, a particle size, a number of particles associated with imaging, or a disease severity corresponding to the respective embolic source location;

determining, for each embolic source location, a destination probability of an embolus, based on the determined particle size, the determined number of particles, or the determined disease severity, wherein the destination probability is a probability that the embolus reaches the destination location of interest; and

determining a selected embolic source location of the plurality of embolic source locations, either by comparing a destination probability associated with one embolic source location against a destination probability associated with a second source location, or by comparing a destination probability against a threshold probability.

18. The non-transitory computer readable medium of claim 17, the method further comprising:

simulating blood flow through the patient-specific anatomic model; and

determining the destination probability for each embolic source location by virtually tracking the embolus through the simulated blood flow.

19. The non-transitory computer readable medium of claim 18, the method further comprising:

determining one or more locations of atherosclerotic plaques in the patient'"'"'s vasculature, wherein the plurality of embolic source locations of the patient'"'"'s vasculature are based on the one or more locations of atherosclerotic plaques.

20. The non-transitory computer readable medium of claim 19, the method further comprising:

determining the destination location of interest by ranking locations of the patient'"'"'s vasculature vulnerable to embolism.