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Intraoperative Registration for Liver Tumor Ablation

Oyarzun Laura, Cristina and Drechsler, Klaus and Erdt, Marius and Keil, Matthias and Noll, Matthias and De Beni, Stefano and Sakas, Georgios and Solbiati, Luigi (2012):
Intraoperative Registration for Liver Tumor Ablation.
Springer, Berlin, Heidelberg, New York, In: Abdominal Imaging: Computational and Clinical Applications, In: Lecture Notes in Computer Science (LNCS); 7029, DOI: 10.1007/978-3-642-28557-8₁₇,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Oyarzun Laura, Cristina and Drechsler, Klaus and Erdt, Marius and Keil, Matthias and Noll, Matthias and De Beni, Stefano and Sakas, Georgios and Solbiati, Luigi
Title: Intraoperative Registration for Liver Tumor Ablation
Language: English
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.

Series Name: Lecture Notes in Computer Science (LNCS); 7029
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Business Field: Visual decision support, Business Field: Digital society, Research Area: Confluence of graphics and vision, Liver, Registration, Segmentation, Graph matching, Navigation, Interventional techniques
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Abdominal Imaging: Computational and Clinical Applications
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-28557-8₁₇
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