Systems and methods for predicting perfusion deficits from physiological, anatomical, and patient characteristics
Systems and methods are disclosed for using patient specific anatomical models and physiological parameters to estimate perfusion of a target tissue to guide diagnosis or treatment of cardiovascular disease. One method includes receiving a patient-specific vessel model and a patent-specific tissue model of a patient anatomy; extracting one or more patient-specific physiological parameters (e.g. blood flow, anatomical characteristics, image characteristics, etc.) from the vessel or tissue models for one or more physiological states of the patient; estimating a characteristic of the perfusion of the patient-specific tissue model (e.g., via a trained machine learning algorithm) using the patient-specific physiological parameters; and outputting the estimated perfusion characteristic to a display.
1. A computer-implemented method for estimating perfusion of blood in tissues of patients, the method comprising:
receiving a patient-specific vessel model of one or more vessels of a patient and a patient-specific tissue model of a target tissue supplied by the one or more vessels, wherein the target tissue has a plurality of areas, wherein each of the patient-specific vessel model and the patient-specific tissue model is derived from medical images of the patient;
determining one or more patient-specific values of one or more anatomical or physiological parameters based on the patient-specific vessel model or the patient-specific tissue model;
determining an estimated supplied blood to each area of the plurality of areas of the target tissue;
computing an estimate of a perfusion of blood in the target tissue based on the determined patient-specific values of the one or more anatomical or physiological parameters and the determined estimated supplied blood to each area of the plurality of areas of the target tissue;
generating a virtual scan including a visualization of the computed estimate of the perfusion of blood, wherein the visualization of the computed estimate of the perfusion of blood is overlaid on an image of the target tissue to simulate a SPECT scan or a PET scan; and
displaying the virtual scan on an electronic display.
2. The computer-implemented method of claim 1 , wherein the one or more anatomical or physiological parameters include a characteristic of blood flow to a plurality of regions of the one or more vessels or the target tissue under one or more physiological states.
3. The computer-implemented method of claim 2 , wherein the characteristic of perfusion of blood flow includes a fractional flow reserve, flow magnitude, flow direction, or a combination thereof.
4. The computer-implemented method of claim 1 , wherein the one or more anatomical or physiological parameters include vessel size, vessel shape, vessel tortuosity, vessel length, vessel thickness, estimated territories of the perfusion of blood within a tissue or vascular network, or a combination thereof.
5. The computer-implemented method of claim 1 , wherein the one or more patient-specific values includes a value for a resting patient state, a hyperemic state, an exercise state, a postprandial state, a gravitational state, an emotional state, a state of hypertension, a medicated state, or a combination thereof.
6. The computer-implemented method of claim 1 , further comprising receiving a characteristic of a medical image of the target tissue or the one or more vessels, the characteristic of the medical image including local average intensities, texture characteristics, standard image, or a combination thereof.
7. The computer-implemented method of claim 1 , further comprising receiving patient characteristics, disease characteristics of the target tissue, electromechanical characteristics, or a combination thereof.
8. The computer-implemented method of claim 1 , wherein the patient-specific vessel model and the target tissue respectively include:
a coronary vascular model and a myocardium;
a cerebral vascular model and a brain;
a peripheral vascular model and a muscle;
a hepatic vascular model and a liver;
a renal vascular model and a kidney; or
a visceral vascular model and a bowel.
9. The computer-implemented method of claim 1 , further comprising:
adjusting the one or more patient-specific values of the one or more anatomical or physiological parameters to represent an effect of a treatment; and
computing a new estimate of perfusion of blood in the patient-specific tissue model using the adjusted one or more patient-specific values.
10. The computer-implemented method of claim 1 , wherein the simulating the SPECT scan or the PET scan includes modeling a concentration of a contrast agent using the computed estimate of the perfusion of blood.
11. The computer-implemented method of claim 1 , wherein the simulating the SPECT scan or the PET scan includes estimating a collimation of photons or positrons at virtual collimator locations.
12. A system for estimating perfusion of blood in tissues of patients, the system comprising:
a data storage device storing instructions for determining patient-specific characteristics of the perfusion of blood; and
a processor configured to execute the instructions to perform operations including:
receiving a patient-specific vessel model of one or more vessels of a patient and a patient-specific tissue model of a target tissue supplied by the one or more vessels, wherein the target tissue has a plurality of areas, wherein each of the patient-specific vessel model and the patient-specific tissue model is derived from medical images of the patient;
determining one or more patient-specific values of one or more anatomical or physiological parameters based on the patient-specific vessel model or the patient-specific tissue model;
determining an estimated supplied blood to each area of the plurality of areas of the target tissue;
computing an estimate of a perfusion of blood in the target tissue based on the determined patient-specific values of the one or more anatomical or physiological parameters and the determined estimated supplied blood to each area of the plurality of areas of the target tissue;
generating a virtual scan including a visualization of the computed estimate of the perfusion of blood, wherein the visualization of the computed estimate of the perfusion of blood is overlaid on an image of the target tissue to simulate a SPECT scan or a PET scan; and
displaying the virtual scan on an electronic display.
13. The system of claim 12 , wherein the one or more anatomical or physiological parameters include an estimated or measured blood flow to a plurality of regions of the one or more vessels or tissue, anatomical characteristics, or a combination thereof.
14. The system of claim 12 , the operations further comprising receiving patient characteristics, disease characteristics of the target tissue, electromechanical characteristics, or a combination thereof.
15. The system of claim 12 , wherein the patient-specific vessel model and the target tissue respectively include:
a coronary vascular model and a myocardium;
a cerebral vascular model and a brain;
a peripheral vascular model and muscle;
a hepatic vascular model and a liver;
a renal vascular model and a kidney; or
a visceral vascular model and a bowel.
16. The system of claim 12 , wherein the simulating the SPECT scan or the PET scan includes modeling a concentration of a contrast agent using the computed estimate of the perfusion of blood.
17. The system of claim 12 , wherein the simulating the SPECT scan or the PET scan includes estimating a collimation of photons or positrons at virtual collimator locations.
18. A non-transitory computer-readable medium for use on a computer system containing computer-executable programming instructions that, when executed by a processor of the computer system, cause the computer system to perform operations including:
receiving a patient-specific vessel model of one or more vessels of a patient and a patient-specific tissue model of a target tissue supplied by the one or more vessels, wherein the target tissue has a plurality of areas, wherein each of the patient-specific vessel model and the patient-specific tissue model is derived from medical images of the patient;
determining one or more patient-specific values of one or more anatomical or physiological parameters based on the patient-specific vessel model or the patient-specific tissue model;
determining an estimated supplied blood to each area of the plurality of areas of the target tissue;
computing an estimate of a perfusion of blood in the target tissue based on the determined patient-specific values of the one or more anatomical or physiological parameters and the determined estimated supplied blood to each area of the plurality of areas of the target tissue;
generating a virtual scan including a visualization of the computed estimate of the perfusion of blood, wherein the visualization of the computed estimate of the perfusion of blood is overlaid on an image of the target tissue to simulate a SPECT scan or a PET scan; and
displaying the virtual scan on an electronic display.
19. The non-transitory computer-readable medium of claim 18 , wherein the simulating the SPECT scan or the PET scan includes modeling a concentration of a contrast agent using the computed estimate of the perfusion of blood.
20. The non-transitory computer-readable medium of claim 18 , wherein the simulating the SPECT scan or the PET scan includes estimating a collimation of photons or positrons at virtual collimator locations.