A method for fully automated quantitative analysis of arterial flow using flow-sensitized MR images

Michael P Chwialkowski, Yaser M. Ibrahim, Hong F. Li, Ronald M Peshock

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

While the recent developments in the velocity-sensitive MR imaging offer great potential for non-invasive assessment of blood flow in major blood vessels, the clinical applications of this technique have been hampered by tedious, human-assisted data processing techniques. In this paper, we describe a robust system for automated extraction of quantitative as well as qualitative flow information from velocity-sensitive, phase contrast MR images. The algorithm accomplishes reliable segmentation of blood vessels using multiresolution analysis based on wavelet transform, and employs a multivariate scoring criterion to minimize the impact of imaging artifacts such as partial volume averaging and flow turbulence, which normally cause incomplete or inaccurate detection of vascular boundaries.

Original languageEnglish (US)
Pages (from-to)365-378
Number of pages14
JournalComputerized Medical Imaging and Graphics
Volume20
Issue number5
DOIs
StatePublished - Sep 1 1996

Keywords

  • Blood flow
  • Image processing
  • Image segmentation
  • MRI
  • Wavelets

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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