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Intraoperative registration for liver tumor ablation

 
: Oyarzun Laura, Cristina; Drechsler, Klaus; Erdt, Marius; Keil, Matthias; Noll, Matthias; Beni, Stefano de; Sakas, Georgios; Solbiati, Luigi

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Yoshida, Hiroyuki (Ed.); Sakas, Georgios (Ed.); Linguraru, Marius George (Ed.):
Abdominal imaging. Computational and clinical applications : Third international workshop, held in conjunction with MICCAI 2011, Toronto, ON, Canada, September 18, 2011; revised selected papers
Berlin: Springer, 2012 (Lecture Notes in Computer Science 7029)
ISBN: 978-3-642-28556-1
ISBN: 3-642-28556-2
ISBN: 978-3-642-28557-8
ISSN: 0302-9743
DOI: 10.1007/978-3-642-28557-8
S.133-140
International Workshop on Computational and Clinical Applications in Abdominal Imaging <3, 2011, Toronto>
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <14, 2011, Toronto>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
liver; registration; segmentation; Graph matching; navigation; interventional technique

Abstract
Computer aided navigation augments intraoperatively gathered U/S with planning information that the doctor carries out before the intervention on a CT volume. A crucial step for the navigation is the registration between CT and U/S. Our approach consists on a landmark based registration. The correspondences between both modalities are found automatically using a graph to graph matching algorithm. Therefore, liver and vessels are previously segmented. The whole process has being tested on 15 pairs of real clinical data. The results are promising.

: http://publica.fraunhofer.de/dokumente/N-206782.html