TY - CHAP A1 - Lamecker, Hans A1 - Seebass, Martin A1 - Lange, Thomas A1 - Hege, Hans-Christian A1 - Deuflhard, Peter ED - Westwood, J. T1 - Visualization of the variability of 3D statistical shape models by animation T2 - Proc. Medicine Meets Virtual Reality Y1 - 2004 VL - 98 SP - 190 EP - 196 PB - IOS Press ER - TY - CHAP A1 - Lange, Thomas A1 - Wenckebach, Thomas A1 - Seebaß, Martin A1 - Lamecker, Hans A1 - Hünerbein, Michael T1 - Registration of different phases of contrast-enhanced MR data for liver surgery T2 - 3. Jahrestagung der Deutschen Gesellschaft für Computer-Roboterassistierte Chirurgie CURAC Y1 - 2004 ER - TY - CHAP A1 - Lange, Thomas A1 - Eulenstein, Sebastian A1 - Hünerbein, Michael A1 - Lamecker, Hans A1 - Schlag, Peter-Michael ED - Barrilot, Christian T1 - Augmenting intraoperative 3D ultrasound with preoperative models for navigation in liver surgery T2 - Proceedings MICCAI Y1 - 2004 SP - 543 EP - 541 PB - Springer ER - TY - CHAP A1 - Eulenstein, Sebastian A1 - Lange, Thomas A1 - Hünerbein, Michael A1 - Schlag, Peter A1 - Lamecker, Hans T1 - Ultrasound based navigation system incorporating preoperative planning for liver surgery T2 - Proceedings CARS Y1 - 2004 U6 - https://doi.org/10.1016/j.ics.2004.03.121 target VL - 1268 SP - 758 EP - 763 PB - Elsevier ER - TY - CHAP A1 - Lange, Thomas A1 - Tunn, Per-Ulf A1 - Lamecker, Hans A1 - Scheinemann, Peter A1 - Eulenstein, Sebastian A1 - Schlag, Peter-Michael ED - Tolxdorff, Thomas T1 - Computerunterstützte Prothesenkonstruktion mittels statistischem Formmodell bei Beckenresektion T2 - Proceedings BVM, Informatik aktuell Y1 - 2004 SP - 30 EP - 34 PB - Springer ER - TY - GEN A1 - Lamecker, Hans A1 - Lange, Thomas A1 - Seebass, Martin T1 - Segmentation of the Liver using a 3D Statistical Shape Model N2 - This paper presents an automatic approach for segmentation of the liver from computer tomography (CT) images based on a 3D statistical shape model. Segmentation of the liver is an important prerequisite in liver surgery planning. One of the major challenges in building a 3D shape model from a training set of segmented instances of an object is the determination of the correspondence between different surfaces. We propose to use a geometric approach that is based on minimizing the distortion of the correspondence mapping between two different surfaces. For the adaption of the shape model to the image data a profile model based on the grey value appearance of the liver and its surrounding tissues in contrast enhanced CT data was developed. The robustness of this method results from a previous nonlinear diffusion filtering of the image data. Special focus is turned to the quantitative evaluation of the segmentation process. Several different error measures are discussed and implemented in a study involving more than 30 livers. T3 - ZIB-Report - 04-09 KW - Statistical Shape Model KW - 3D Correspondence Problem KW - Model-Based Segmentation KW - Diffusion Filtering KW - Geometric Distortion KW - Surface Distance Y1 - 2004 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-7847 ER -