You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
14 September 1993Model-based segmentation of the brain from 3D MRI using active surfaces
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.
The alert did not successfully save. Please try again later.
John W. Snell, Michael B. Merickel, John C. Goble, James R. Brookeman, 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