Medical image based hemodynamic analysis

Y. Chen, R. Li, X. Zhao, D. Li, W. Xu, A. Liu, S.F. Sia, W. Chong, Y. Zhang

Research output: Contribution to journalArticleResearchpeer-review


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.

Original languageEnglish
Pages (from-to)323-342
Number of pages20
JournalAdvances in Mechanics
Issue number1
Publication statusPublished - 20 May 2016
Externally publishedYes


  • Aneurysm
  • Artery stenosis
  • CFD
  • Hemodynamic

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