CPC A61B 34/10 (2016.02) [A61B 6/503 (2013.01); A61B 6/504 (2013.01); A61B 6/507 (2013.01); A61B 34/00 (2016.02); G06T 7/0014 (2013.01); G06T 7/11 (2017.01); G06T 7/187 (2017.01); G16H 50/50 (2018.01); A61B 6/032 (2013.01); A61B 2034/105 (2016.02); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30104 (2013.01)] | 20 Claims |
1. A computer implemented method for generating a vascular tree model, the method comprising:
receiving joint prior information associated with a patient-specific vascular model of a patient's anatomy and a patient-specific target tissue model, the joint prior information including geometrical, physiological, and/or topological priors electronically learned from intensity variation data in one or more patient-specific images of the patient's anatomy;
determining, using a processor, one or more associations between a vascular network of the patient-specific vascular model and one or more perfusion characteristics of a target tissue of the target tissue model using the joint prior information;
generating, using a processor, a vascular tree model including a microvascular model that extends to perfusion regions in the target tissue, using the determined associations between the vascular network of the patient-specific vascular model and the perfusion characteristics of the target tissue;
calculating an estimation of supplied blood to the target tissue according to the generated vascular tree model; and
providing a diagnosis of cardiovascular disease according to the estimation of supplied blood to the target tissue.
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