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Volume-constrained image registration for pre- and post-operative CT liver data

 
: Beuthien, B.; Papenberg, N.; Heldmann, S.; Fischer, B.

:

Dawant, B.M. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Medical Imaging 2010. Image Processing. Pt.1 : 14-16 February 2010, San Diego, California
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7623)
ISBN: 978-0-8194-8024-8
ISSN: 1605-7422
Paper 762339
Medical Imaging Symposium <2010, San Diego/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer MEVIS ()

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.

: http://publica.fraunhofer.de/dokumente/N-188495.html