Department of Bioengineering, Stanford University, Stanford, CA, USA.
Ann Biomed Eng. 2010 Mar;38(3):1188-203. doi: 10.1007/s10439-010-9901-0. Epub 2010 Jan 20.
The objective of our session at the 2008 International Bio-Fluid Symposium and Workshop was to review the state-of-the-art in image-based modeling of blood flow, and identify future directions. Here we summarize progress in the field of image-based modeling of blood flow and vessel wall dynamics from mid-2005 to early 2009. We first describe the tremendous progress made in the application of image-based modeling techniques to elucidate the role of hemodynamics in vascular pathophysiology, plan treatments for congenital and acquired diseases in individual patients, and design and evaluate endovascular devices. We then review the advances that have been made in improving the methodology for modeling blood flow and vessel wall dynamics in image-based models, and consider issues related to extracting hemodynamic parameters and verification and validation. Finally, the strengths and weaknesses of current work in image-based modeling and the opportunities and threats to the field are described. We believe that with a doubling of our efforts toward the clinical application of image-based modeling tools, the next few years could surpass the tremendous gains made in the last few.
我们在 2008 年国际生物液流研讨会和工作坊上的目标是回顾基于图像的血流建模的最新进展，并确定未来的方向。在这里，我们总结了 2005 年年中至 2009 年初期间血流和血管壁动力学基于图像建模领域的进展。我们首先描述了在应用基于图像的建模技术阐明血液动力学在血管病理生理学中的作用、为个体患者的先天性和获得性疾病制定治疗计划以及设计和评估血管内装置方面取得的巨大进展。然后，我们回顾了在改进基于图像模型中的血流和血管壁动力学建模方法方面取得的进展，并考虑了与提取血液动力学参数以及验证和确认相关的问题。最后，描述了基于图像建模当前工作的优缺点，以及该领域的机会和威胁。我们相信，只要我们在将基于图像的建模工具应用于临床方面加倍努力，未来几年的进展可能会超过过去几年取得的巨大进步。
