2016年5月16日学术报告

报告人:俞慧丹博士

Speaker: Dr.Huidan (Whitney) Yu

报告题目:通过基于CT/MRI的一体化GPU加速计算建模与分析的血液流评估

Topic:From Clinical CT/MRI Image to Hemodynamic Assessment Via

Unified and GPU Accelerated Computational Modeling and Analysis

单位:美国IUPUI普渡工程与技术学院机械工程系

Department of Mechanical EngineeringPurdue School of Engineering and Technology Indiana University-Purdue University, Indianapolis (IUPUI), USA

主持人:詹杰民教授

Chair: Prof. Jiemin.Zhan
时间:2016年5月16日15:30-16:30

Time: May16, 2016, 15:30-16:30

地点:中山大学东校区工学院大楼B404

Venue: Room B404, School of Engineering, East Campus, SYSU
 

俞慧丹博士简介

俞慧丹博士,于北京大学物理专业及美国德克萨斯A&M大学航空和航天工程专业获取双博士毕业,在美国洛斯阿拉莫斯国家实验室及约翰霍普金斯大学完成双博士后研究工作,目前在美国IUPUI普渡工程与技术学院担任助理教授一职。

Brief Introduction

Dr. Huidan (Whitney) Yu is currently an Assistant Professor in Mechanical Engineering Department of Indiana University-Purdue University Indianapolis(IUPUI), USA. Prior to this position, she successively completed two PhD degrees in Physics at Peking University in China and Aerospace Engineering at Texas A&M University in USA, followed by two postdoctoral research positions at Los Alamos National laboratory and the Johns Hopkins University. Dr. Yu’s research interest and expertise is on kinetic based lattice Boltzmann method for modeling, simulation, and parametric analysis of complex flows in which complicated geometry, multiphase, fluid-structure interaction, etc. might be involved. In recent years, Dr. Yu has dedicated herself to develop reliable and applicable computational tools for image-based computation analysis of biomedical flows through close collaboration with clinicians. She is the inventor of a clinically practical software named InVascular for noninvasive assessment of hemodynamic abnormalities within clinical favorite time, aiming to aid clinical diagnosis and treatment making. InVascular is currently applied for clinical problems including renal resistance related hypertension, alternatives to left ventricle assist device (LVAD) for minimal invasion, and wall-shear stress (WSS) on choriocapillaries

 

Abstract

Patient-specific blood flow simulation in human arteries has emerged as a powerful research tool to noninvasively quantify unsteady flow and pressure inside the vessel and wall shear stress (WSS) distribution on inner wall. The attractive advantages include (1) the low cost of facility, personnel, and supplies; (2) the fully human subject protection; (3) the amenability to perform parametric analysis, and (4) the direct human subject results. Radiological scanning and animal model experimentation cannot compete with these advantages to achieve similar results with the same investment. We have recently developed a unique computational platformfor patient-specific computational hemodynamics (PSCH) based on clinical CT/MRI imaging information through unified mesoscale modeling using lattice Boltzmann method (LBM) for both image processing and fluid dynamics together with  the emerging GPU (graphic processing unit) parallel computing technology. The PSCH computational tool,named as InVascular, is featured with easy implementation and fast computation. The LBM solves a level set equation for image segmentation from CT or MRI imaging data and extracts the boundary information. The obtained patient-specific vessel geometry, volumetric ratio of solid versus fluid, and the orientation of the boundary are then seamlessly fed to the next step for solving unsteady pulsatile flow. From CT/MARI images to in vivo flow, pressure, and WSS quantification, there are no data transformation and software involved thus the computation can be efficiently accelerated by GPU technology. It has been estimated that a typical cardiac simulation of blood flow in a human artery can be completed within 30 minutes. This talk is about the computational methodology, the modeling techniques, validation, and three medical applications including (1) noninvasive assessment of the severity of renal stenosis (hypertension); (2) Quantification of wall-shear stress (WSS) inchoriocapillaries (blindness), and (3)Design of alternatives to left ventricle assist device (LVAD) for minimal invasion (Heart transplant).