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Proceedings Paper • Open Access

Clinical relevance of model based computer-assisted diagnosis and therapy
Author(s): Andrea Schenk; Stephan Zidowitz; Holger Bourquain; Milo Hindennach; Christian Hansen; Horst K. Hahn; Heinz-Otto Peitgen

Paper Abstract

The ability to acquire and store radiological images digitally has made this data available to mathematical and scientific methods. With the step from subjective interpretation to reproducible measurements and knowledge, it is also possible to develop and apply models that give additional information which is not directly visible in the data. In this context, it is important to know the characteristics and limitations of each model. Four characteristics assure the clinical relevance of models for computer-assisted diagnosis and therapy: ability of patient individual adaptation, treatment of errors and uncertainty, dynamic behavior, and in-depth evaluation. We demonstrate the development and clinical application of a model in the context of liver surgery. Here, a model for intrahepatic vascular structures is combined with individual, but in the degree of vascular details limited anatomical information from radiological images. As a result, the model allows for a dedicated risk analysis and preoperative planning of oncologic resections as well as for living donor liver transplantations. The clinical relevance of the method was approved in several evaluation studies of our medical partners and more than 2900 complex surgical cases have been analyzed since 2002.

Paper Details

Date Published: 17 March 2008
PDF: 19 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 691502 (17 March 2008); doi: 10.1117/12.780270
Show Author Affiliations
Andrea Schenk, MeVis Research GmbH (Germany)
Stephan Zidowitz, MeVis Research GmbH (Germany)
Holger Bourquain, MeVis Research GmbH (Germany)
Milo Hindennach, MeVis Research GmbH (Germany)
Christian Hansen, MeVis Research GmbH (Germany)
Horst K. Hahn, MeVis Research GmbH (Germany)
Heinz-Otto Peitgen, MeVis Research GmbH (Germany)

Published in SPIE Proceedings Vol. 6915:
Medical Imaging 2008: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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