Visualization of MR angiographic data with segmentation and volume‐rendering techniques

Xiaoping Hu, Noam Alperin, David N. Levin, Kim K. Tan, Michel Mengeot

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


Novel image processing and computer graphics techniques were developed to create three-dimensional (3D) models of vasculature from magnetic resonance (MR) angiographic images of the head or neck. Region growing was used to produce a mask that isolated the vascular signal in the MR angiographic data. The masked images were subjected to gradient-shaded volume rendering to create 3D views of the vasculature. The computer-derived model of intracranial vasculature was then merged with a 3D model of brain parenchyma derived from a set of MR images. The combined display of vascular and gyral anatomy may be useful for neurosurgical planning.

Original languageEnglish (US)
Pages (from-to)539-546
Number of pages8
JournalJournal of Magnetic Resonance Imaging
Issue number5
StatePublished - Jan 1 1991
Externally publishedYes


  • Brain, MR studies, 10.1214
  • Image display
  • Image processing
  • Magnetic resonance (MR), technology
  • Model, mathematical
  • Reconstruction algorithms
  • Three‐dimensional imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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