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Journal of Image Guided Surgery Volume 1, 1995 - Issue 6
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Original Article

Laboratory Investigation:Automatic Identification of Gray Matter Structures from MRI to Improve the Segmentation of White Matter Lesions

Simon Warfield School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
,
Joachim Dengler Vision Systems, Neckargemuend, Germany
,
Joachim Zaers German Cancer Research Center, Heidelberg, Germany
,
Charles R.G. Guttmann Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts
,
William M. Wells Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts
,
Gil J. Ettinger AI Lab NE43-771, Massachusetts Institute of Technology, Cambridge, Massachusetts
,
John Hiller Department of Radiological Sciences, UCLA School of Medicine, Los Angeles, California
&
Ron Kikinis Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts
 show all
Pages 326-338 | Received 22 Sep 1995, Accepted 10 Jun 1996, Published online: 06 Jan 2010

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Sarada Prasad Dakua, Julien Abinahed & Abdulla Al-Ansari. (2017) Cellular automata-based left ventricle reconstruction from magnetic resonance images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 5:1, pages 54-67.
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Dorna Zangeneh & Mehran Yazdi. (2016) Automatic segmentation of multiple sclerosis lesions in brain MRI using constrained GMM and genetic algorithm. Automatic segmentation of multiple sclerosis lesions in brain MRI using constrained GMM and genetic algorithm.

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