CPC G16H 50/50 (2018.01) [A61B 5/7267 (2013.01); A61B 6/00 (2013.01); A61B 6/507 (2013.01); A61B 6/5217 (2013.01); G06F 17/18 (2013.01); G06N 3/00 (2013.01); G06T 7/0012 (2013.01); A61B 5/026 (2013.01); A61B 2576/02 (2013.01); G06T 2207/30104 (2013.01)] | 20 Claims |
1. A computer-implemented method of determining a sensitivity of a patient's blood flow characteristic to uncertainty in a geometric model of a patient's vascular system, the method comprising:
obtaining, for each of a plurality of individuals, a geometric model of at least a portion of a vascular system of each individual and at least one sensitivity of a blood flow characteristic to at least one uncertainty in geometry in the geometric model;
mapping, in a machine learning database, a plurality of features of each geometric model to the obtained sensitivities;
obtaining a geometric model of at least part of a patient's vascular system;
determining, for the patient, at least one value of uncertainty in geometry in the geometric model of at least part of the patient's vascular system; and
determining a sensitivity of a blood flow characteristic of the patient to at least one value of uncertainty in geometry in the geometric model of at least part of the patient's vascular system, using (i) the machine learning database in which the plurality of features are mapped to the obtained sensitivities and/or (ii) the mapped plurality of features.
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