Patent ID: 11538153

Abstract:
A computational methodology for noninvasively assessing the severity of arterial stenosis and predicting the therapeutic outcome of interventional treatment for stenosis assessed as severe, mild, or in between based on patient's CT/MRI imaging data, ultrasound test data, and physio-pathological material properties. The method includes two major parts. The steps in the first part comprise receiving medical data, segmenting the anatomical three-dimensional geometry of the stenosed artery, setting up boundary conditions at inlet and outlets using the ultrasound velocity waveforms together with 3-element WinKessel model, and computing pulsatile pressure waveforms proximal and distal to the existing stenosis for TPI. The steps in the second part comprise of varying the VR of the stenosis virtually from 0% to 95% with an increment of 5%, computing TPI for each level of VR, establishing the functional relation between TPI and VR, identifying the two thresholds of VRmild and VRsevere on TPI-VR curve, determining the severity of the existing stenosis by comparing VRexisting with VRmild and VRsevere concurrently and predicting the outcome of the lesion (TPI) improvement after an interventional treatment such as stenting for the existing stenosis.