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

B. Beuthien, B. Papenberg, S. Heldmann, B. Fischer


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.
TitelMedical Imaging 2010: Image Processing
Redakteure/-innenDavid R. Haynor, Benoit M. Dawant
ErscheinungsortSan Diego, California, USA
Herausgeber (Verlag)SPIE
Seiten7623 - 7623 - 8
ISBN (Print)9780819480248
PublikationsstatusVeröffentlicht - 12.03.2010
VeranstaltungSPIE Medical Imaging 2010
- San Diego, USA / Vereinigte Staaten
Dauer: 13.02.201018.02.2010


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