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논문 기본 정보

자료유형
학술대회자료
저자정보
Duc Minh Tran (University of Ulsan) Minh Tuan Nguyen (Yonsei University) Hyoung Gwon Choi (SeoulTech) Hyuk-Jae Chang (Yonsei University) Sang-Wook Lee (University of Ulsan)
저널정보
대한기계학회 대한기계학회 춘추학술대회 대한기계학회 2017년도 학술대회
발행연도
2017.11
수록면
1,014 - 1,017 (4page)

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초록· 키워드

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Computed tomographic (CT) angiography often overestimates the significance of stenotic lesion of coronary and it leads to a need for functional diagnostic measurements. Currently, invasive pressure-wire-based fractional flow reserve (FFR) is becoming the standard of reference for assessing the physiological significance of coronary stenoses in clinical decisions regarding revascularization and exhibits favorable outcomes in identifying the ischemia-causing stenosis. A noninvasive approach for FFR prediction based on computational fluid dynamics with CT angiography was developed.
Since the hemodynamic conditions in distal vascular beds highly affects the coronary flow structures, it is necessary to incorporate zero-dimensional (0D) lumped parameter network (LPN) model for coronary microvascular flow by coupling with 3D CFD simulation. This demonstrated high diagnostic and prognostic accuracy with a reduction of adverse events. MPI parallel algorithm based on domain decomposition method was applied for the 3D-0D coupled model of coronary flow dynamics simulations in a monolithic approach.
In this paper, we introduce the development of clinically practical computational tool to estimate physiological significance of stenotic lesion of coronary with aims of accelerating clinical outcomes, basically by bench to bedside approach.

목차

Abstract
1. Introduction
2. Computational Methods
3. Numerical Results
4. Conculsion
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