Drechsler, Klaus ; Erdt, Marius ; Oyarzun Laura, Cristina ; Wesarg, Stefan (2012)
Multiphase Risk Assessment of Atypical Liver Resections.
25th IEEE Symposium on Computer-Based Medical Systems and HealthGrid Conference.
doi: 10.1109/CBMS.2012.6266316
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this work, we present a system based on open-source toolkits that can utilize multiple phases of a liver CT dataset to plan a surgery before the patient enters the operation room. The contributions are an optimized deformable registration of arterial and venous phases of the liver and a methodology to assess surgical risk utilizing both phases. It is shown by the example of two clinical cases, how our system enables the fusion of complementary information into a 3D representation of the patient anatomy. Processing times of single processing steps on a modern machine are quite low, which allows for an integration into clinical routine.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Drechsler, Klaus ; Erdt, Marius ; Oyarzun Laura, Cristina ; Wesarg, Stefan |
| Art des Eintrags: | Bibliographie |
| Titel: | Multiphase Risk Assessment of Atypical Liver Resections |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | IEEE, Inc., New York |
| Veranstaltungstitel: | 25th IEEE Symposium on Computer-Based Medical Systems and HealthGrid Conference |
| DOI: | 10.1109/CBMS.2012.6266316 |
| Kurzbeschreibung (Abstract): | In this work, we present a system based on open-source toolkits that can utilize multiple phases of a liver CT dataset to plan a surgery before the patient enters the operation room. The contributions are an optimized deformable registration of arterial and venous phases of the liver and a methodology to assess surgical risk utilizing both phases. It is shown by the example of two clinical cases, how our system enables the fusion of complementary information into a 3D representation of the patient anatomy. Processing times of single processing steps on a modern machine are quite low, which allows for an integration into clinical routine. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Confluence of graphics and vision, Computed tomography (CT), Computer assisted surgery, Medical image processing, Image registration, Liver |
| 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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