Relevance Analysis of MRI Sequences for MS Lesion Detection

摘要

Introduction: The benefit of novel MRI sequences can often only be rated subjectively or after a long clinical trial. We employ a layerwise relevance propagation (LRP) on a convolutional neural network (CNN) for segmentation to rate the relevance of MRI sequences for the detection of multiple sclerosis (MS) white matter lesions.