Paper
14 September 1993 Model-based segmentation of the brain from 3D MRI using active surfaces
John W. Snell, Michael B. Merickel, John C. Goble, James R. Brookeman, Neal F. Kassell M.D.
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John W. Snell, Michael B. Merickel, John C. Goble, James R. Brookeman, and Neal F. Kassell M.D. "Model-based segmentation of the brain from 3D MRI using active surfaces", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154506
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation

Brain

Image processing

Data modeling

Skin

3D image processing

Head

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