Method and system for determining treatments by modifying patient-specific geometrical models
Systems and methods are disclosed for evaluating cardiovascular treatment options for a patient. One method includes creating a three-dimensional model representing a portion of the patient's heart based on patient-specific data regarding a geometry of the patient's heart or vasculature; and for a plurality of treatment options for the patient's heart or vasculature, modifying at least one of the three-dimensional model and a reduced order model based on the three-dimensional model. The method also includes determining, for each of the plurality of treatment options, a value of a blood flow characteristic, by solving at least one of the modified three-dimensional model and the modified reduced order model; and identifying one of the plurality of treatment options that solves a function of at least one of: the determined blood flow characteristics of the patient's heart or vasculature, and one or more costs of each of the plurality of treatment options.
1. A method for planning treatment for arterial stenotic lesions by processing patient-specific images of a patient, comprising:
identifying a set of stenotic lesions in a patient's coronary arteries from medical image data of the patient;
generating a plurality of treatment options for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented;
calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option; and
recommending a treatment option from the plurality of treatment options based on the predicted hemodynamic metrics for the set of stenotic lesions calculated for each of the plurality of treatment options, and based on a number of stents in the stenting configuration corresponding to each of the plurality of treatment options.
2. The method of claim 1 , wherein recommending the treatment option from the plurality of treatment options further comprises:
recommending the treatment option from the plurality of treatment options in order of maximal blood flow restoration based on the predicted hemodynamic metrics calculated for the set of stenotic lesions, with treatment options having stenting configurations with a smaller number of stents preferentially selected ahead of treatment options having stenting configurations with a larger number of stents if the predicted hemodynamic metrics calculated for the treatment options having the stenting configurations with the smaller number of stents indicate that a blood flow is sufficiently restored.
3. The method of claim 1 , wherein recommending the treatment option from the plurality of treatment options further comprises:
recommending the treatment option from the plurality of treatment options based on the predicted hemodynamic metrics for the set of stenotic lesions calculated for each of the plurality of treatment options, by penalizing treatment options having stenting configurations in a stented anatomical region.
4. The method of claim 1 , wherein calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option comprises:
calculating, for each of the plurality of treatment options, predicted fractional flow reserve (FFR) values for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option.
5. The method of claim 4 , wherein calculating, for each of the plurality of treatment options, predicted fractional flow reserve (FFR) values for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option comprises:
adjusting a pressure drop simulated for the one or more of the stenotic lesions that are stented in the corresponding stenting configuration;
simulating blood flow and pressure in the coronary arteries of the patient with the adjusted pressure drop for the one or more of the stenotic lesions that are stented; and
calculating FFR values for each of the set of stenotic lesions based on the simulated blood flow and pressure in the coronary arteries of the patient.
6. The method of claim 5 , wherein adjusting a pressure drop simulated for the one or more of the stenotic lesions that are stented in the corresponding stenting configuration comprises:
adjusting the pressure drop simulated for the one or more of the stenotic lesions that are stented in the corresponding stenting configuration to a pressure drop of zero.
7. The method of claim 5 , wherein adjusting a pressure drop simulated for the one or more of the stenotic lesions that are stented in the corresponding stenting configuration comprises:
adjusting the pressure drop simulated for the one or more of the stenotic lesions that are stented in the corresponding stenting configuration to a predetermined value representing partial opening of the one or more stenotic lesions that are stented.
8. The method of claim 1 , wherein the plurality of treatment options comprises a respective treatment option corresponding to each possible stenting configuration of one or more of the set of stenotic lesions.
9. The method of claim 1 , further comprising:
displaying, for each of the plurality of treatment options, a respective figure showing results of calculating the predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option.
10. The method of claim 2 , further comprising:
displaying a plurality of results of calculating the predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to each of the plurality of treatment options.
11. The method of claim 2 , further comprising:
displaying a model of the patient's coronary arteries; and
in response to a user selecting one of a plurality of treatment options, displaying the stenting configuration corresponding to the selected treatment option and the hemodynamic metrics calculated for the set of stenotic lesions resulting from the stenting configuration corresponding to the selected treatment option.
12. The method of claim 2 , further comprising:
displaying a model of the patient's coronary arteries; and
in response to a user selection of one or more stent locations on the model of the patient's coronary arteries, displaying the hemodynamic metrics calculated for the set of stenotic lesions for a treatment option corresponding to the stenting configuration indicated by the user selection of the one or more stent locations.
13. The method of claim 2 , wherein identifying a set of stenotic lesions in a patient's coronary arteries from medical image data of the patient comprises:
extracting a patient-specific anatomical model of the coronary arteries from the medical image data;
detecting a plurality of stenotic lesions in the coronary arteries using the patient-specific anatomical model of the coronary arteries;
estimating a hemodynamic metric for each of the plurality of stenotic lesions; and
identifying a set of hemodynamically relevant stenotic lesions from the plurality of stenotic lesions based on the hemodynamic metric estimated for each of the plurality of stenotic lesions.
14. The method of claim 13 , wherein estimating a hemodynamic metric for each of the plurality of stenotic lesions comprises:
simulating blood flow and pressure in the coronary arteries using a computational model of coronary circulation; and
estimating the hemodynamic metric for each of the plurality of stenotic lesions based on a simulated pressure change across each of the plurality of stenotic lesions.
15. The method of claim 13 , wherein estimating a hemodynamic metric for each of the plurality of stenotic lesions comprises: estimating a fractional flow reserve (FFR) value for each of the plurality of stenotic lesions.
16. A system for planning treatment for arterial stenotic lesions by processing patient-specific images of a patient, the system comprising:
at least one computer system configured for:
identifying a set of stenotic lesions in a patient's coronary arteries from medical image data of the patient;
generating a plurality of treatment options for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented;
calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option; and
recommending a treatment option from the plurality of treatment options based on the predicted hemodynamic metrics for the set of stenotic lesions calculated for each of the plurality of treatment options, and based on a number of stents in the stenting configuration corresponding to each of the plurality of treatment options.
17. The system of claim 16 , wherein calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option comprises:
calculating, for each of the plurality of treatment options, predicted fractional flow reserve (FFR) values for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option.
18. The system of claim 17 , wherein calculating, for each of the plurality of treatment options, predicted fractional flow reserve (FFR) values for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option comprises:
adjusting a pressure drop simulated for the one or more of the stenotic lesions that are stented in the corresponding stenting configuration;
simulating blood flow and pressure in the coronary arteries of the patient with the adjusted pressure drop for the one or more of the stenotic lesions that are stented; and
calculating FFR values for each of the set of stenotic lesions based on the simulated blood flow and pressure in the coronary arteries of the patient.
19. The system of claim 16 , wherein the plurality of treatment options comprises a respective treatment option corresponding to each possible stenting configuration of one or more of the set of stenotic lesions.
20. A non-transitory computer readable medium storing computer program instructions for planning treatment for arterial stenotic lesions by processing patient-specific images of a patient, the computer program instructions when executed by a processor causes the processor to perform operations comprising:
identifying a set of stenotic lesions in a patient's coronary arteries from medical image data of the patient;
generating a plurality of treatment options for the set of stenotic lesions, wherein each of the plurality of treatment options corresponds to a stenting configuration in which one or more of the stenotic lesions are stented;
calculating, for each of the plurality of treatment options, predicted hemodynamic metrics for the set of stenotic lesions resulting from the stenting configuration corresponding to that treatment option; and
recommending a treatment option from the plurality of treatment options based on the predicted hemodynamic metrics for the set of stenotic lesions calculated for each of the plurality of treatment options, and based on a number of stents in the stenting configuration corresponding to each of the plurality of treatment options.