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

Research output: Contribution to journal › Article › peer-review

29 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
Externally published	Yes

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

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10.1002/jmri.1880010506

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title = "Visualization of MR angiographic data with segmentation and volume‐rendering techniques",

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.",

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author = "Xiaoping Hu and Noam Alperin and Levin, {David N.} and Tan, {Kim K.} and Michel Mengeot",

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AU - Hu, Xiaoping

AU - Alperin, Noam

AU - Levin, David N.

AU - Tan, Kim K.

AU - Mengeot, Michel

PY - 1991/1/1

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AB - 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.

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KW - Model, mathematical

KW - Reconstruction algorithms

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

Abstract

Keywords

ASJC Scopus subject areas

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