Systems and methods for diagnosis and assessment of cardiovascular disease by comparing arterial supply capacity to end-organ demand
Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.
1. A computer-implemented method of determining a blood supply and a blood demand, the method comprising:
receiving a first portion of a patient-specific model of vessel geometry, wherein the first portion of the patient-specific model is based on patient-specific image data;
generating a second portion of the patient-specific model of vessel geometry, wherein the second portion of the patient-specific model is based on data not shown in the patient-specific image data;
determining an amount of blood demanded by at least a portion of a tissue or organ receiving blood from the vessel geometry based on the first portion and the second portion of the patient-specific model; and
evaluating a patient based the amount of blood demanded by the tissue or the organ.
2. The method of claim 1 , wherein evaluating the patient includes determining a disease state of the patient.
3. The method of claim 1 , wherein the second portion of the patient-specific model is based at least in part on population-based data.
4. The method of claim 1 , further comprising:
generating a simulation of blood flow identifying a relationship between a vessel supply of the patient and a tissue or organ demand of the patient.
5. The method of claim 4 , further comprising:
modifying, based on the evaluation, at least one parameter of the simulation of blood flow through the vessel geometry.
6. The method of claim 1 , wherein the second portion of the patient-specific model is a model of one or more vessels downstream of a vessel in the vessel geometry of the first portion of the patient-specific model.
7. The method of claim 1 , wherein evaluating the patient includes predicting a location of a plaque rupture in the vessel geometry.
8. A system for image processing to determine a blood supply and a blood demand, the system comprising:
at least one data storage device storing instructions for determining the blood supply and the blood demand; and
at least one processor configured to execute the instructions to perform operations comprising:
receiving a first portion of a patient-specific model of vessel geometry, wherein the first portion of the patient-specific model is based on patient-specific image data;
generating a second portion of the patient-specific model of vessel geometry, wherein the second portion of the patient-specific model is based on data not shown in the patient-specific image data;
determining an amount of blood demanded by at least a portion of a tissue or organ receiving blood from the vessel geometry based on the first portion and the second portion of the patient-specific model; and
evaluating a patient based the amount of blood demanded by the tissue or the organ.
9. The system of claim 8 , wherein evaluating the patient includes determining a disease state of the patient.
10. The system of claim 8 , wherein the second portion of the patient-specific model is based at least in part on population-based data.
11. The system of claim 8 , wherein the operations further comprise:
generating a simulation of blood flow identifying a relationship between a vessel supply of the patient and a tissue or organ demand of the patient.
12. The system of claim 11 , wherein the operations further comprise:
modifying, based on the evaluation, at least one parameter of the simulation of blood flow through the vessel geometry.
13. The system of claim 8 , wherein the second portion of the patient-specific model is a model of one or more vessels downstream of a vessel in the vessel geometry of the first portion of the patient-specific model.
14. The system of claim 8 , wherein evaluating the patient includes predicting a location of a plaque rupture in the vessel geometry.
15. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of determining a blood supply and a blood demand, the method comprising:
receiving a first portion of a patient-specific model of vessel geometry, wherein the first portion of the patient-specific model is based on patient-specific image data;
generating a second portion of the patient-specific model of vessel geometry, wherein the second portion of the patient-specific model is based on data not shown in the patient-specific image data;
determining an amount of blood demanded by at least a portion of a tissue or organ receiving blood from the vessel geometry based on the first portion and the second portion of the patient-specific model; and
evaluating a patient based the amount of blood demanded by the tissue or the organ.
16. The non-transitory computer readable medium of claim 15 , wherein evaluating the patient includes determining a disease state of the patient.
17. The non-transitory computer readable medium of claim 15 , wherein the second portion of the patient-specific model is based at least in part on population-based data.
18. The non-transitory computer readable medium of claim 15 , wherein the method further comprises:
generating a simulation of blood flow identifying a relationship between a vessel supply of the patient and a tissue or organ demand of the patient.
19. The non-transitory computer readable medium of claim 18 , wherein the method further comprises:
modifying, based on the evaluation, at least one parameter of the simulation of blood flow through the vessel geometry.
20. The non-transitory computer readable medium of claim 15 , wherein the second portion of the patient-specific model is a model of one or more vessels downstream of a vessel in the vessel geometry of the first portion of the patient-specific model.