Volume 46 Issue 1
May  2016
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Yu CHEN, Rui LI, Xuemei ZHAO, Donghai LI, Wenjuan XU, Aihua LIU, Sheau Fung SIA, Winston CHONG, Yu ZHANG. Medical image based hemodynamic analysis[J]. Advances in Mechanics, 2016, 46(1): 201607. doi: 10.6052/1000-0992-15-042
Citation: Yu CHEN, Rui LI, Xuemei ZHAO, Donghai LI, Wenjuan XU, Aihua LIU, Sheau Fung SIA, Winston CHONG, Yu ZHANG. Medical image based hemodynamic analysis[J]. Advances in Mechanics, 2016, 46(1): 201607. doi: 10.6052/1000-0992-15-042

Medical image based hemodynamic analysis

doi: 10.6052/1000-0992-15-042
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  • Corresponding author: Yu ZHANG
  • Received Date: 2015-10-20
  • Rev Recd Date: 2016-03-14
  • Publish Date: 2016-05-20
  • 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 static images, the newly developed phase-contrast magnetic resonance imaging (PCMRI) is able to capture hemodynamic parameters from timesequenced scanning; these parameters include velocity magnitude and directions. However, long time scanning is usually required for data collection. Alternatively, hemodynamic 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. This report will compare both methods, present examples of hemodynamic analysis in clinical application, and discuss the future directions of hemodynamic research.

     

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