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Proceedings Paper

Segmentation of the brain from 3D MRI using a hierarchical active surface template
Author(s): John W. Snell; Michael B. Merickel; James M. Ortega; John C. Goble; James R. Brookeman; Neal F. Kassell
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Paper Abstract

The accurate segmentation of the brain from three-dimensional medical imagery is important as the basis for visualization, morphometry, surgical planning and intraoperative navigation. The complex and variable nature of brain anatomy makes recognition of the brain boundaries a difficult problem and frustrates segmentation schemes based solely on local image features. We have developed a deformable surface model of the brain as a mechanism for utilizing a priori anatomical knowledge in the segmentation process. The active surface template uses an energy minimization scheme to find a globally consistent surface configuration given a set of potentially ambiguous image features. Solution of the entire 3D problem at once produces superior results to those achieved using a slice by slice approach. We have achieved good results with MR image volumes of both normal and abnormal subjects. Evaluation of the segmentation results has been performed using cadaver studies.

Paper Details

Date Published: 11 May 1994
PDF: 8 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175044
Show Author Affiliations
John W. Snell, Univ. of Virginia (United States)
Michael B. Merickel, Univ. of Virginia (United States)
James M. Ortega, Univ. of Virginia (United States)
John C. Goble, Univ. of Virginia (United States)
James R. Brookeman, Univ. of Virginia (United States)
Neal F. Kassell, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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