Deep Voxel-Guided Morphometry (VGM): Learning Regional Brain Changes in Serial MRI

Change detection and progression assessment in multiple sclerosis (MS) by serial magnetic resonance imaging (MRI) are important, yet challenging tasks. Analysis algorithms such as Voxel-Guided Morphometry (VGM) enable detection and quantification of even minor changes of the brain at different time points. To shorten computation times and ameliorate clinical applicability, we developed a convolutional neural network based VGM (Deep VGM) providing a fast solution for intra-individual serial volume change analysis in MS.