2016年工学院系列学术报告

报告人:俞慧丹博士

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

单位:美国IUPUI普渡工程与技术学院机械工程系

主持人:詹杰民教授
时间:2016年5月16 日15:30-16:30
地点:中山大学东校区工学院大楼B404

 

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。

 

报告摘要

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 platform for 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) in choriocapillaries (blindness), and (3) Design of alternatives to left ventricle assist device (LVAD) for minimal invasion (Heart transplant).