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Proceedings Paper

Model-based segmentation of the brain from 3D MRI using active surfaces
Author(s): John W. Snell; Michael B. Merickel; John C. Goble; James R. Brookeman; Neal F. Kassell
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Paper Abstract

Traditional, bottom-up segmentation approaches have proven inadequate when faced with the anatomical complexity and variability exhibited by biological structures such as the brain. A 3- D extension to the 'snakes' algorithm has been implemented and used to segment the skin and brain surfaces from MRI image volumes of the head in an effort to investigate model-based, top-down segmentation strategies. These active surfaces allow closed surfaces of complex objects to be recovered using a prior knowledge in the form of initial conditions and applied external 'forces'. Preliminary results suggest that active surfaces may be initialized according to a preconceived model and adaptively deformed by image data to recover the desired object surface.

Paper Details

Date Published: 14 September 1993
PDF: 10 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154506
Show Author Affiliations
John W. Snell, Univ. of Virginia (United States)
Michael B. Merickel, 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. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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