Phase Based Level Set Segmentation of Blood Vessels
2008 (English)In: Proceedings of 19th International Conference on Pattern Recognition, IEEE Computer Society , 2008, 1-4 p.Conference paper (Refereed)
The segmentation and analysis of blood vessels hasreceived much attention in the research community. Theresults aid numerous applications for diagnosis andtreatment of vascular diseases. Here we use level setpropagation with local phase information to capture theboundaries of vessels. The basic notion is that localphase, extracted using quadrature filters, allows us todistinguish between lines and edges in an image. Notingthat vessels appear either as lines or edge pairs, weintegrate multiple scales and capture information aboutvessels of varying width. The outcome is a “global”phase which can be used to drive a contour robustly towardsthe vessel edges. We show promising results in2D and 3D. Comparison with a related method givessimilar or even better results and at a computationalcost several orders of magnitude less. Even with verysparse initializations, our method captures a large portionof the vessel tree.
Place, publisher, year, edition, pages
IEEE Computer Society , 2008. 1-4 p.
, International Conference on Pattern Recognition, ISSN 1051-4651
Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:liu:diva-21054DOI: 10.1109/ICPR.2008.4760970ISI: 000264729000023ISBN: 978-1-4244-2175-6 (online)ISBN: 978-1-4244-2174-9 (print)OAI: oai:DiVA.org:liu-21054DiVA: diva2:240478
19th International Conference on Pattern Recognition (ICPR 2008), 8-11 December 2008, Tampa, Finland
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/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 IEEE: Gunnar Läthén, Jimmy Jonasson and Magnus Borga, Phase Based Level Set Segmentation of Blood Vessels, 2008, Proceedings of 19th International Conference on Pattern Recognition. http://dx.doi.org/10.1109/ICPR.2008.47609702009-09-282009-09-282015-10-09