Automatic Brain Labeling via Multi-Atlas Guided Fully Convolutional Networks

Anatomical brain labeling is highly desired for region-based analysis of MR brain images, which is important for many research studies and clinical applications, such as facilitating diagnosis (Zhou, Gennatas et al. 2012, Chen, Zhang et al. 2017) and investigating early brain development (Holland, Chang et al. 2014). Also, brain labeling is a fundamental step in brain network analysis pipelines, where regions-of-interest (ROIs) need to be identified prior to exploring any connectivity traits (Bullmore and Bassett 2011, Liu, Zeng et al.

Source: Medical Image Analysis - November 1, 2018 Category: Radiology Authors: Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Islem Rekik, Seong-Whan Lee, Huiguang He, Dinggang Shen Source Type: research