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"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

Abstract

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.

 

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Copyright © 2016 by the authors. Published version © 2016 by . Personal use of this material is permitted. However, permission to reprint or republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the copyright holder.

 

BibTeX entry

@inproceedings{Shahzad:2016,
author = "{Rahil Shahzad and Oleh Dzyubachyk and Marius Staring and Boudewijn P.F. Lelieveldt and Rob J. van der Geest}",
title = "{Framework For Automatic Labelling Of Arterial Tree From WB-MRA}",
booktitle = "{IEEE International Symposium on Biomedical Imaging (ISBI)}",
editor = "{Jan and Sonka, Milan Kybic}",
address = "{Prague, Czech Republic}",
month = "{April}",
year = "{2016}",
}

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