Oyarzun Laura, Cristina ; Drechsler, Klaus ; Erdt, Marius ; Keil, Matthias ; Noll, Matthias ; De Beni, Stefano ; Sakas, Georgios ; Solbiati, Luigi (2012)
Intraoperative Registration for Liver Tumor Ablation.
Abdominal Imaging: Computational and Clinical Applications.
doi: 10.1007/978-3-642-28557-8_17
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Oyarzun Laura, Cristina ; Drechsler, Klaus ; Erdt, Marius ; Keil, Matthias ; Noll, Matthias ; De Beni, Stefano ; Sakas, Georgios ; Solbiati, Luigi |
| Art des Eintrags: | Bibliographie |
| Titel: | Intraoperative Registration for Liver Tumor Ablation |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | Springer, Berlin, Heidelberg, New York |
| Reihe: | Lecture Notes in Computer Science (LNCS); 7029 |
| Veranstaltungstitel: | Abdominal Imaging: Computational and Clinical Applications |
| DOI: | 10.1007/978-3-642-28557-8_17 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Business Field: Visual decision support, Business Field: Digital society, Research Area: Confluence of graphics and vision, Liver, Registration, Segmentation, Graph matching, Navigation, Interventional techniques |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 12 Nov 2018 11:16 |
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