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Visualization of MR angiographic data with segmentation and volume‐rendering techniques
Author(s) -
Hu Xiaoping,
Alperin Noam,
Levin David N.,
Tan Kim K.,
Mengeot Michel
Publication year - 1991
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.1880010506
Subject(s) - volume rendering , computer science , segmentation , rendering (computer graphics) , visualization , artificial intelligence , computer graphics , computer vision , computer graphics (images) , magnetic resonance imaging , head and neck , 3d rendering , radiology , medicine , surgery
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.