Visualization of MR angiographic data with segmentation and volume-rendering techniques.

X. Hu, Noam Alperin, D. N. Levin, K. K. Tan, M. Mengeot

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

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
Pages (from-to)539-546
Number of pages8
JournalJournal of magnetic resonance imaging : JMRI
Volume1
Issue number5
StatePublished - Sep 1 1991
Externally publishedYes

Fingerprint

Magnetic Resonance Spectroscopy
Blood Vessels
Computer Graphics
Masks
Computer Simulation
Anatomy
Neck
Head
Brain

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Visualization of MR angiographic data with segmentation and volume-rendering techniques. / Hu, X.; Alperin, Noam; Levin, D. N.; Tan, K. K.; Mengeot, M.

In: Journal of magnetic resonance imaging : JMRI, Vol. 1, No. 5, 01.09.1991, p. 539-546.

Research output: Contribution to journalArticle

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