Imran Shah

BME PhD Proposal Presentation

Date: 2023-09-27
Time: 8:00 AM
Location / Meeting Link: https://gatech.zoom.us/j/98518071497?pwd=cncvQjRhNHFXb1UzbzFyd1NtMWVnZz09

Committee Members:
Lakshmi Prasad Dasi, PhD (Advisor); Alessandro Veneziani, PhD (Co-Advisor); John Oshinski, PhD; Rudolph L. Gleason, PhD; Habib Samady, MD; Vinod Thourani, MD


Title: Towards Real-Time Predictive Computational Modeling of Cardiovascular Surgical Planning Procedures via Reduced Order Models

Abstract:
Predictive computational modeling has become a critical tool for pre-operatively determining the likelihood of potential complications for several cardiovascular surgical planning applications. These models have become especially popular in the context of transcatheter aortic valve replacement (TAVR), where deployment simulations involving structural analysis of the prosthetic heart valve are performed, and Fontan surgical planning, where hemodynamic simulations are performed to optimize the generated surgical options. Computational models are generally based on traditional numerical techniques like the Finite Element method for solving the underlying partial differential equations that govern the mechanical problem of interest (fluid or solid). However, due to the mechanical complexities in each modeling scenario, the computational costs required for the simulations become extremely expensive. To this end, reduced order models (ROMs) are a hybrid model/data-driven paradigm used to approximate the behavior of high-fidelity full order models to their dominant components, thus significantly increasing the computational efficiency of the simulations. The primary focus of this proposal is to develop real-time predictive computational models of the TAVR deployment and Fontan surgical planning pipelines via ROMs. Aim 1 delves into the application of projection-based ROMs for idealized biomechanical problems in the context of the TAVR and Fontan procedures. In Aim 2, we will focus on developing refined ROMs for performing real-time deployment simulations of transcatheter heart valve prostheses in a cohort of TAVR patients. Finally, Aim 3 will involve the development of ROMs for the shape optimization of patient-specific total cavopulmonary connection (TCPC) geometries for use in Fontan predictive modeling. The results of this work will establish a novel framework for real-time cardiovascular structural and fluid dynamic simulations, offering pivotal mechanistic insight at the patient-specific level in the form of several simulation-derived clinical metrics.