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12 March 2010 Volume-constrained image registration for pre- and post-operative CT liver data
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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.
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Björn Beuthien, Nils Papenberg, Stefan Heldmann, and Bernd Fischer "Volume-constrained image registration for pre- and post-operative CT liver data", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762339 (12 March 2010); https://doi.org/10.1117/12.844260
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