"Framework For Automatic Labelling Of Arterial Tree From WB-MRA"
Rahil Shahzad, Oleh Dzyubachyk, Marius Staring, Boudewijn P.F. Lelieveldt and Rob J. van der Geest
Population based whole body MR (WB-MR) screening studies, for assessment of arterial diseases are being widely conducted nowadays. With large population studies come the mammoth task of manual annotation and analysis. A common practice for diagnosing arterial trees on WB-MR is conducting visual inspection on maximum intensity projection (MIP) images. By performing analysis on MIP images, the entire potential of WB-MR scans is not being fully utilized. A method for automatic extraction of 3D vascular tree would be very useful for arterial disease analysis and quantification.