基于医学影像的血流动力学分析

Translated title of the contribution: Medical image based hemodynamic analysis

Yu Chen, Rui Li, Xuemei Zhao, Donghai Li, Wenjuan Xu, Aihua Liu, Sheau Fung Sia, Winston Chong, Yu Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Computed tomography (CT) and magnetic resonance imaging (MRI) are widely used in clinical practice for diagnose of vascular diseases, such as artery stenosis, aneurysm and vascular malformation. Besides providing static images, the newly developed phase-contrast magnetic resonance imaging (PCMRI) is able to capture hemodynamic parameters from time-sequenced scanning; these parameters include velocity magnitude and directions. However, long time scanning is usually required for data collection. Alternatively, hemody-namic parameters can be obtained by image based computational fluid dynamics (CFD), this only demands normal scan of CT or MRI images for 3-D construction. In this report, we will survey medical image based hemodynamic analysis in clinical application, and discuss the future directions of hemodynamic research.

Translated title of the contributionMedical image based hemodynamic analysis
Original languageChinese
Article number201607
Pages (from-to)323-342
Number of pages20
JournalAdvances in Mechanics
Volume46
Issue number1
DOIs
Publication statusPublished - 20 May 2016
Externally publishedYes

Bibliographical note

Also titled: jī yú yī xué yǐng xiàng de xuè liú dòng lì xué fēn xī

Keywords

  • Aneurysm
  • Artery stenosis
  • CFD
  • Hemodynamic
  • PCMRI

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