Abstract. 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.
For example, Jaume et al. REF proposed an algorithm to match an atlas labeled mesh to the patient brain mesh in a multiresolution way.
Labeling the Brain Surface Using a Deformable Multiresolution Mesh
MICCAI (1)
Computer Science