Three-dimensional segmentation of cortical sulci using active models

Georges Le Goualher; Christian Barillot; Yves J. Bizais; Jean-Marie Scarabin

doi:10.1117/12.237928

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16 April 1996 Three-dimensional segmentation of cortical sulci using active models

Georges Le Goualher, Christian Barillot, Yves J. Bizais, Jean-Marie Scarabin

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Proceedings Volume 2710, Medical Imaging 1996: Image Processing; (1996) https://doi.org/10.1117/12.237928
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

Abstract

We propose a method for the segmentation of cerebral sulci, representing them by surfaces. This method is based on the computation of the differential characteristics of MRI data. The computation of curvature information, using the Lvv operator, allows one to differentiate sulcal and gyral regions, resulting in a global detection of the cortical scheme. The analytical description of a particular sulcus is obtained by initializing an active model on its trace upon the brain surface. The result is a surface representing the buried part of the sulcus. The 'snake-spline' model allows one to define an algorithm which is simpler and more robust than the classical snake. This method of segmentation yields good results for the 3D segmentation and visualization of cortical sulci.

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Georges Le Goualher, Christian Barillot, Yves J. Bizais, and Jean-Marie Scarabin "Three-dimensional segmentation of cortical sulci using active models", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237928

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