Anayiotos Andreas, Cheng Gary, Ito Yasushi, Gray Jeff, Agarwal Ramesh
University of Alabama at Birmingham, Alabama 35294, USA.
Stud Health Technol Inform. 2004;103:225-32.
Image based Computational Fluid Dynamics (CFD) simulation of the cardiovascular system is increasingly becoming important and its application in everyday medical practice can already be envisaged. The goal of this workshop is to address all the factors involved in the development of a computational framework/software for modelling and analyses of the cardiovascular system and provide examples. The development of such framework, requires integration, management and interpretation of data from several technology areas such as a) feature detection and extraction of arterial geometry from imaging data, b) adaptive grid generation techniques for 3-D asymmetric geometries c) hemodynamic modelling, disparate length-scale model, and fluid-tissue interaction with high-performance computing, d) CFD data validation, e) feature extraction/detection and visualisation algorithms, f) graphical user interface to allow remote visualisation of post processed data. These computational tools are employed to study flow in specific problem sites in the vascular tree such as the carotid, femoral, coronary and abdominal arteries. Such studies provide understanding of the factors involved in the initialisation and evolution of arterial disease due to altered flow conditions (as a result of plaque formation) such as flow separation and reversal, and low and oscillatory wall shear stress. It is also used to study the effect of various clinical procedures such as the implantation of stents, vascular grafts, vascular prostheses and artificial valve implants on local and global hemodynamics. This workshop will address a new emerging paradigm in clinical practice known as predictive medicine for effective surgical planning and post surgical rehabilitation. The workshop will also address the difficulties in the implementation of some of the technology areas in this application with examples of carotid, femoral, and abdominal artery simulations.
基于图像的心血管系统计算流体动力学（CFD）模拟正变得越来越重要，并且其在日常医疗实践中的应用已经可以预见。本次研讨会的目标是探讨开发用于心血管系统建模和分析的计算框架/软件所涉及的所有因素，并提供实例。开发这样的框架需要整合、管理和解释来自多个技术领域的数据，例如：a）从成像数据中检测和提取动脉几何特征；b）针对三维不对称几何形状的自适应网格生成技术；c）血流动力学建模、不同长度尺度模型以及与高性能计算相关的流体-组织相互作用；d）CFD数据验证；e）特征提取/检测和可视化算法；f）用于远程可视化后处理数据的图形用户界面。这些计算工具用于研究血管树中特定问题部位的血流，如颈动脉、股动脉、冠状动脉和腹主动脉。此类研究有助于理解由于血流状况改变（如斑块形成导致），如血流分离和逆流以及低和振荡壁面剪应力等因素在动脉疾病的起始和演变过程中所起的作用。它还用于研究各种临床手术，如支架植入、血管移植、血管假体和人工瓣膜植入对局部和整体血流动力学的影响。本次研讨会将探讨临床实践中一种新兴的范式，即用于有效手术规划和术后康复的预测医学。研讨会还将通过颈动脉、股动脉和腹主动脉模拟的实例，讨论在该应用中一些技术领域实施过程中遇到的困难。
