MR Imaging–based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength

摘要

This article presents a fully automated method with which to segment enlarged perivascular spaces (ePVSs) in commonly acquired clinical sequences that yields morphologic (linearity, volume, width) information on each ePVS, as well as total ePVS volume and count.