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Multiphase Risk Assessment of Atypical Liver Resections

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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