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

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.

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.

Citation Download Citation

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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