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Labeling the Brain Surface Using a Deformable Multiresolution Mesh

Institution:	1 Multiresolution Modeling Group, California Institute of Technology, Pasadena, CA, USA, 2 Telecommunications and Remote Sensing Laboratory, University Catholique de Louvain, Louvain-la-Neuve, Belgium 3 Surgical Planning Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:	Med Image Comput Comput Assist Interv. MICCAI 2002
Publication Date:	Sep-2002
Volume Number:	5
Issue Number:	Pt 1
Pages:	451-458
Citation:	Int Conf Med Image Comput Comput Assist Interv. 2002;5(Pt 1):451-458.
Keywords:	cortex labeling, Cortical Surface, sulci and gyri, brain segmentation, brain atlas, multiresolution mesh, progressive mesh
Appears in Collections:	SPL, CRL, NAC
Sponsors:	NIH P41 RR13218 NIH P01 CA67165 NIH R01 RR11747 NIH R01 CA86879 Whitaker Foundation New Concept Award from the Center for Integration of Medicine and Innovative Technology.
Generated Citation:	Jaume S., Macq B., Warfield S.K.. Labeling the Brain Surface Using a Deformable Multiresolution Mesh. Int Conf Med Image Comput Comput Assist Interv. 2002;5(Pt 1):451-458.
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We propose to match a labeled mesh onto the patient brain surface in a multiresolution way for labeling the patient brain. Labeling the patient brain surface provides a map of the brain folds where the neuroradiologist and the neurosurgeon can easily track the features of interest. Due to the complexity of the cortical surface, this task usually depends on the intervention of an expert, and is time-consuming. Our multiresolution representation for the brain surface allows the automated classification of the folds based on their size. The atlas mesh is deformed from coarse to fine to robustly capture the patient brain folds from the largest to the smallest. Once the atlas mesh matches the patient mesh, the atlas labels are transferred to the patient mesh, and color coded for visualization.

Jaume-MICCAI2002-fig4.jpg (419.571kB)