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.
Original languageEnglish
Title of host publicationMedical Imaging 2010: Image Processing
EditorsDavid R. Haynor, Benoit M. Dawant
Number of pages8
Place of PublicationSan Diego, California, USA
Publication date12.03.2010
Pages7623 - 7623 - 8
ISBN (Print)9780819480248
Publication statusPublished - 12.03.2010
EventSPIE Medical Imaging 2010
- San Diego, United States
Duration: 13.02.201018.02.2010


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