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Proceedings Paper

Volume-constrained image registration for pre- and post-operative CT liver data
Author(s): Björn Beuthien; Nils Papenberg; Stefan Heldmann; Bernd Fischer
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Paper Abstract

The resection of a tumor is one of the most common tasks in liver surgery. Here, it is of particular importance to resect the tumor and a safety margin on the one hand and on the other hand to preserve as much healthy liver tissue as possible. To this end, a preoperative CT scan is taken in order to come up with a sound resection strategy. It is the purpose of this paper to compare the preoperative planning with the actual resection result. Obviously the pre- and postoperative data is not straightforward comparable, a meaningful registration is required. In the literature one may find a rigid and a landmark-based approach for this task. Whereas the rigid registration does not compensate for nonlinear deformation the landmark approach may lead to an unwanted overregistration. Here we propose a fully automatic nonlinear registration with volume constraints which seems to overcome both aforementioned problems and does lead to satisfactory results in our test cases.

Paper Details

Date Published: 13 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762339 (13 March 2010); doi: 10.1117/12.844260
Show Author Affiliations
Björn Beuthien, Univ. of Lübeck (Germany)
Nils Papenberg, Fraunhofer MEVIS (Germany)
Stefan Heldmann, Fraunhofer MEVIS (Germany)
Bernd Fischer, Univ. of Lübeck (Germany)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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