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

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

doi:10.1002/jmri.1880010506

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

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

Radiology

Research output: Contribution to journal › Article

27 Scopus citations

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 language	English (US)
Pages (from-to)	539-546
Number of pages	8
Journal	Journal of Magnetic Resonance Imaging
Volume	1
Issue number	5
DOIs	https://doi.org/10.1002/jmri.1880010506
State	Published - Jan 1 1991

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Keywords

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

Cite this

Hu, X., Alperin, N., Levin, D. N., Tan, K. K., & Mengeot, M. (1991). Visualization of MR angiographic data with segmentation and volume‐rendering techniques. Journal of Magnetic Resonance Imaging, 1(5), 539-546. https://doi.org/10.1002/jmri.1880010506

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10.1002/jmri.1880010506