AUTOMATIC FINE-GRAINED LABELING OF BRAIN MR IMAGES: A CRF Approach

摘要

We propose in this paper a method for automatic refining of labels associated with regions delimited on brain Magnetic Resonance Images called patches. The patches coordinates and their topological relations represent the input of our system. Based on this input, the proposed method uses Conditional Random Fields (CRFs) for learning correspondences between patches' labels obtained from a brain atlas and refined labels defined in the Foundational Model of Anatomy ontology. A cross-validation on a small collection of brain MR data was performed, and the results obtained so far are encouraging.