Multiresolution, model-based segmentation of MR angiograms

Paul E. Summers, Abhir H. Bhalerao, David J. Hawkes

Research output: Contribution to journalArticlepeer-review


During the last decade, the quality of MR angiograms has risen substantially and their clinical utility has been demonstrated progressively. This acceptance has created a need for tools with which to summarize and display the information available. We have used a model-based segmentation technique to extract vascular morphology and local flow parameters from phase contrast MR angiograms. A multiresolution data structure is used as the basis of recursive decision-making to identify regions of blood flow. The resulting data representation allows more efficient data handling in subsequent processing and visualization and is directly applicable to the creation of a connected graph model of vascular regions. We describe this flow feature extraction algorithm and demonstrate the utility of the results.

Original languageEnglish
Pages (from-to)950-957
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Issue number6
Publication statusPublished - Nov 1997


  • Flow visualization
  • Image segmentation
  • MR angiography

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology


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