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.

doi:10.1117/12.154506

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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.

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Proceedings Volume 1898, Medical Imaging 1993: Image Processing; (1993) https://doi.org/10.1117/12.154506
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

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.

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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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