Systems and methods for image processing to determine blood flow
Embodiments include systems and methods for determining cardiovascular information for a patient. A method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of the patient's vasculature based on the patient-specific data; and creating a computational model of a blood flow characteristic based on the anatomic model. The method also includes identifying one or more of an uncertain parameter, an uncertain clinical variable, and an uncertain geometry; modifying a probability model based on one or more of the identified uncertain parameter, uncertain clinical variable, or uncertain geometry; determining a blood flow characteristic within the patient's vasculature based on the anatomic model and the computational model of the blood flow characteristic of the patient's vasculature; and calculating, based on the probability model and the determined blood flow characteristic, a sensitivity of the determined fractional flow reserve to one or more of the identified uncertain parameter, uncertain clinical variable, or uncertain geometry.
1 . A method for processing images to determine blood flow information, comprising:
receiving medical imaging data of a patient;
segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region from the medical imaging data, the plurality of mesh candidates representing different anatomical models of the artery, wherein segmenting the plurality of mesh candidates comprises:
generating the plurality of mesh candidates;
determining one or more candidate collocation points of the anatomical model;
assigning an adaptive refinement criterion to each of the collocation points in a respective mesh candidate by determining a probability associated with each node in a respective mesh candidate;
freezing each collocation point based on if a termination criterion is met; and
repeating the determining, assigning and freezing steps until all collocation points are frozen;
computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates;
determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region; and
outputting one or more images or simulations indicating information relating to the blood flow.
2 . The method as recited in claim 1 , further comprising in response to determining that the variation among values is not significant, displaying results of the hemodynamic index without receiving user input.
3 . The method as recited in claim 1 , further comprising in response to determining that the variation among values is significant displaying at least one of the plurality of mesh candidates; and receiving user input to select and/or edit the at least one of the plurality of mesh candidates.
4 . The method as recited in claim 1 , wherein computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates comprises simulating blood flow and pressure in each of the plurality of mesh candidates for the artery of the patient; and computing a fractional flow reserve value for the stenosis region in each of the plurality of mesh candidates based on the blood flow and pressure simulations.
5 . A system for processing images to determine blood flow information, the system comprising:
a data storage device that stores instructions for processing images to determine blood flow information; and
a processor configured to execute the instructions to perform a method including:
receiving medical imaging data of a patient;
segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region from the medical imaging data, the plurality of mesh candidates representing different anatomical models of the artery, wherein segmenting the plurality of mesh candidates comprises:
generating the plurality of mesh candidates;
determining one or more candidate collocation points of the anatomical model;
assigning an adaptive refinement criterion to each of the collocation points in a respective mesh candidate by determining a probability associated with each node in a respective mesh candidate;
freezing each collocation point based on if a termination criterion is met; and
repeating the determining, assigning and freezing steps until all collocation points are frozen;
computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates;
determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region; and
outputting one or more images or simulations indicating information relating to the blood flow.
6 . The system as recited in claim 5 , the method further comprising in response to determining that the variation among values is not significant, displaying results of the hemodynamic index without receiving user input.
7 . The system as recited in claim 5 , the method further comprising in response to determining that the variation among values is significant displaying at least one of the plurality of mesh candidates; and receiving user input to select and/or edit the at least one of the plurality of mesh candidates.
8 . The system as recited in claim 5 , wherein computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates comprises simulating blood flow and pressure in each of the plurality of mesh candidates for the artery of the patient; and computing a fractional flow reserve value for the stenosis region in each of the plurality of mesh candidates based on the blood flow and pressure simulations.
9 . A non-transitory computer-readable medium comprising instructions for processing images to determine blood flow information, the instructions executing a method comprising:
receiving medical imaging data of a patient;
segmenting a plurality of mesh candidates for an anatomical model of an artery including a stenosis region from the medical imaging data, the plurality of mesh candidates representing different anatomical models of the artery, wherein segmenting the plurality of mesh candidates comprises:
generating the plurality of mesh candidates;
determining one or more candidate collocation points of the anatomical model;
assigning an adaptive refinement criterion to each of the collocation points in a respective mesh candidate by determining a probability associated with each node in a respective mesh candidate;
freezing each collocation point based on if a termination criterion is met; and
repeating the determining, assigning and freezing steps until all collocation points are frozen;
computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates;
determining whether a variation among values of the hemodynamic index for the stenosis region in each of the plurality of mesh candidates is significant with respect to a threshold associated with a clinical decision regarding the stenosis region; and
outputting one or more images or simulations indicating information relating to the blood flow.
10 . The computer-readable medium as recited in claim 9 , the method further comprising in response to determining that the variation among values is not significant, displaying results of the hemodynamic index without receiving user input.
11 . The computer-readable medium as recited in claim 9 , the method further comprising in response to determining that the variation among values is significant displaying at least one of the plurality of mesh candidates; and receiving user input to select and/or edit the at least one of the plurality of mesh candidates.
12 . The computer-readable medium as recited in claim 9 , wherein computing a hemodynamic index for the stenosis region in each of the plurality of mesh candidates comprises simulating blood flow and pressure in each of the plurality of mesh candidates for the artery of the patient; and computing a fractional flow reserve value for the stenosis region in each of the plurality of mesh candidates based on the blood flow and pressure simulations.