Automatic segmentation of white matter lesions in T1-weighted brain MR images

Songyang Yu; Dzung L. Pham; Dinggang Shen; Edward H. Herskovits; Susan M. Resnick; Christos Davatzikos

doi:10.1109/ISBI.2002.1029241

Automatic segmentation of white matter lesions in T1-weighted brain MR images

Songyang Yu, Dzung L. Pham, Dinggang Shen, Edward H. Herskovits, Susan M. Resnick, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

White matter lesions are common brain abnormalities. In this paper, an automatic method for segmentation of white matter lesions in T1-weighted brain magnetic resonance (MR) images is presented. A subject's T1-weighted MR image is first segmented into the three major tissue types, white matter (WM), gray matter (GM) and cerebral spinal fluid (CSF) solely based on each voxel's intensity. Since WM lesions are typically classified as GM based on their intensity characteristics, the GM class is then separated into normal GM and WM lesions. This is accomplished using a statistical model of tissue distribution of healthy brains in a stereotaxic space. The proposed method is tested on 10 MR images with WM lesions and the results of the method are visually compared with WM lesions manually labeled by an experienced radiologist.

Original language	English
Title of host publication	2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
Publisher	IEEE Computer Society
Pages	253-256
Number of pages	4
ISBN (Electronic)	078037584X
DOIs	https://doi.org/10.1109/ISBI.2002.1029241
Publication status	Published - 2002
Externally published	Yes
Event	IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States Duration: 2002 Jul 7 → 2002 Jul 10

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2002-January
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	IEEE International Symposium on Biomedical Imaging, ISBI 2002
Country/Territory	United States
City	Washington
Period	02/7/7 → 02/7/10

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2002.1029241

Cite this

Yu, S., Pham, D. L., Shen, D., Herskovits, E. H., Resnick, S. M., & Davatzikos, C. (2002). Automatic segmentation of white matter lesions in T1-weighted brain MR images. In 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings (pp. 253-256). [1029241] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2002-January). IEEE Computer Society. https://doi.org/10.1109/ISBI.2002.1029241

Automatic segmentation of white matter lesions in T1-weighted brain MR images. / Yu, Songyang; Pham, Dzung L.; Shen, Dinggang et al.

2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings. IEEE Computer Society, 2002. p. 253-256 1029241 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2002-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yu, S, Pham, DL, Shen, D, Herskovits, EH, Resnick, SM & Davatzikos, C 2002, Automatic segmentation of white matter lesions in T1-weighted brain MR images. in 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings., 1029241, Proceedings - International Symposium on Biomedical Imaging, vol. 2002-January, IEEE Computer Society, pp. 253-256, IEEE International Symposium on Biomedical Imaging, ISBI 2002, Washington, United States, 02/7/7. https://doi.org/10.1109/ISBI.2002.1029241

Yu S, Pham DL, Shen D, Herskovits EH, Resnick SM, Davatzikos C. Automatic segmentation of white matter lesions in T1-weighted brain MR images. In 2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings. IEEE Computer Society. 2002. p. 253-256. 1029241. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2002.1029241

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abstract = "White matter lesions are common brain abnormalities. In this paper, an automatic method for segmentation of white matter lesions in T1-weighted brain magnetic resonance (MR) images is presented. A subject's T1-weighted MR image is first segmented into the three major tissue types, white matter (WM), gray matter (GM) and cerebral spinal fluid (CSF) solely based on each voxel's intensity. Since WM lesions are typically classified as GM based on their intensity characteristics, the GM class is then separated into normal GM and WM lesions. This is accomplished using a statistical model of tissue distribution of healthy brains in a stereotaxic space. The proposed method is tested on 10 MR images with WM lesions and the results of the method are visually compared with WM lesions manually labeled by an experienced radiologist.",

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AB - White matter lesions are common brain abnormalities. In this paper, an automatic method for segmentation of white matter lesions in T1-weighted brain magnetic resonance (MR) images is presented. A subject's T1-weighted MR image is first segmented into the three major tissue types, white matter (WM), gray matter (GM) and cerebral spinal fluid (CSF) solely based on each voxel's intensity. Since WM lesions are typically classified as GM based on their intensity characteristics, the GM class is then separated into normal GM and WM lesions. This is accomplished using a statistical model of tissue distribution of healthy brains in a stereotaxic space. The proposed method is tested on 10 MR images with WM lesions and the results of the method are visually compared with WM lesions manually labeled by an experienced radiologist.

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Automatic segmentation of white matter lesions in T1-weighted brain MR images

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