Development of automatic techniques for segmentation of brain tissues from multispectral MR images

Zhengrong Liang; Decheng Wang; Jinhan Ye; Donald Harrington

Development of automatic techniques for segmentation of brain tissues from multispectral MR images

Zhengrong Liang
, Decheng Wang
, Jinhan Ye
, Donald Harrington

Radiology

Stony Brook University

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

Abstract

Automatic segmentation of brain tissues from multispectral magnetic resonance images requires automating of several steps. This proposed automatic approach first strips away the pixels of skulls and scalp. The approach then determines the intensity-variation map within the margin from each stripped image and compensates for the variation by dividing that image by the determined map. Finally, the approach estimates the model parameters by fitting the image data into a multivariate mixture. These steps have been successfully implemented by a computer.

Original language	English
Pages	1453-1456
Number of pages	4
State	Published - 1995
Event	Proceedings of the 1994 Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 4) - Norfolk, VA, USA Duration: Oct 30 1994 → Nov 5 1994

Conference

Conference	Proceedings of the 1994 Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 4)
City	Norfolk, VA, USA
Period	10/30/94 → 11/5/94

Cite this

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title = "Development of automatic techniques for segmentation of brain tissues from multispectral MR images",

abstract = "Automatic segmentation of brain tissues from multispectral magnetic resonance images requires automating of several steps. This proposed automatic approach first strips away the pixels of skulls and scalp. The approach then determines the intensity-variation map within the margin from each stripped image and compensates for the variation by dividing that image by the determined map. Finally, the approach estimates the model parameters by fitting the image data into a multivariate mixture. These steps have been successfully implemented by a computer.",

author = "Zhengrong Liang and Decheng Wang and Jinhan Ye and Donald Harrington",

year = "1995",

language = "English",

pages = "1453--1456",

note = "Proceedings of the 1994 Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 4) ; Conference date: 30-10-1994 Through 05-11-1994",

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Development of automatic techniques for segmentation of brain tissues from multispectral MR images. / Liang, Zhengrong; Wang, Decheng; Ye, Jinhan et al.
1995. 1453-1456 Paper presented at Proceedings of the 1994 Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 4), Norfolk, VA, USA.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Development of automatic techniques for segmentation of brain tissues from multispectral MR images

AU - Liang, Zhengrong

AU - Wang, Decheng

AU - Ye, Jinhan

AU - Harrington, Donald

PY - 1995

Y1 - 1995

N2 - Automatic segmentation of brain tissues from multispectral magnetic resonance images requires automating of several steps. This proposed automatic approach first strips away the pixels of skulls and scalp. The approach then determines the intensity-variation map within the margin from each stripped image and compensates for the variation by dividing that image by the determined map. Finally, the approach estimates the model parameters by fitting the image data into a multivariate mixture. These steps have been successfully implemented by a computer.

AB - Automatic segmentation of brain tissues from multispectral magnetic resonance images requires automating of several steps. This proposed automatic approach first strips away the pixels of skulls and scalp. The approach then determines the intensity-variation map within the margin from each stripped image and compensates for the variation by dividing that image by the determined map. Finally, the approach estimates the model parameters by fitting the image data into a multivariate mixture. These steps have been successfully implemented by a computer.

UR - https://www.scopus.com/pages/publications/0029231740

M3 - Paper

AN - SCOPUS:0029231740

SP - 1453

EP - 1456

T2 - Proceedings of the 1994 Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 4)

Y2 - 30 October 1994 through 5 November 1994

ER -

Development of automatic techniques for segmentation of brain tissues from multispectral MR images

Abstract

Conference

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