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2004
IEEE

Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation

9 years 11 months ago
Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
We propose to segment volumetric brain structures with a level set method including a fuzzy decision in the design of the evolution force. The role of fuzzy logic is to fuse gradient-based and region-based information into a single force term, to take advantage of their properties. The gradient-based approach increases the level set speed in highcontrasted areas, whereas the region-based approach is useful to treat non homogeneous tissues and areas of complex shapes, which borders do not appear clearly. This fusion does not require any manually-tuned parameter to balance the respective influence of the gradient and region terms. We integrated this segmentation algorithm in a fully automatic succession of operations involving a registration step from known data to decrease the computation time. Experimental results on the MNI Brainweb dataset and on a database of real MRI volumes are presented and discussed.
Christian Barillot, Cybèle Ciofolo, Pierre
Added 20 Nov 2009
Updated 20 Nov 2009
Type Conference
Year 2004
Where ISBI
Authors Christian Barillot, Cybèle Ciofolo, Pierre Hellier
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