Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Abteilungen OPUS4-784 misc Lamecker, Hans; Lange, Thomas; Seebass, Martin Segmentation of the Liver using a 3D Statistical Shape Model 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. 2004 urn:nbn:de:0297-zib-7847 ZIB Allgemein OPUS4-3962 Konferenzveröffentlichung Lamecker, Hans; Lange, Thomas; Seebaß, Martin A Statistical Shape Model for the Liver Springer 2002 5 MICCAI 2002 422 427 10.1007/3-540-45787-9_53 Visual Data Analysis OPUS4-3929 Konferenzveröffentlichung Lamecker, Hans; Lange, Thomas; Seebaß, Martin Erzeugung statistischer 3D-Formmodelle zur Segmentierung medizinischer Bilddaten Erlangen Springer 2003 5 Proc. BVM 2003 398 403 Visual Data Analysis OPUS4-3935 Konferenzveröffentlichung Lamecker, Hans; Lange, Thomas; Seebaß, Martin; Eulenstein, Sebastian; Westerhoff, Malte; Hege, Hans-Christian Automatic Segmentation of the Liver for Preoperative Planning of Resections Newport Beach, CA IOS press 2003 2 Proc. MMVR 2003 171 173 Visual Data Analysis OPUS4-2270 Konferenzveröffentlichung Lamecker, Hans; Seebass, Martin; Lange, Thomas; Hege, Hans-Christian; Deuflhard, Peter Westwood, J. Visualization of the variability of 3D statistical shape models by animation IOS Press 2004 6 Proc. Medicine Meets Virtual Reality 98 190 196 Numerical Mathematics OPUS4-3930 Konferenzveröffentlichung Lange, Thomas; Lamecker, Hans; Seebaß, Martin Ein Softwarepaket für die modellbasierte Segmentierung anatomischer Strukturen Erlangen 2003 5 Proc. BVM 2003 111 116 Visual Data Analysis OPUS4-3879 Konferenzveröffentlichung Lange, Thomas; Wenckebach, Thomas; Lamecke, Hans; Seebaß, Martin; Hünerbein, Michael; Eulenstein, Sebastian; Schlag, Peter-Michael Lemke, Heinz Registration of portal and hepatic venous phase of MR/CT data for computer-assisted liver surgery planning Elsevier 2005 4 Proc. Computer Assisted Radiology and Surgery (CARS) 768 772 10.1016/j.ics.2005.03.332 Visual Data Analysis OPUS4-3880 Konferenzveröffentlichung Lange, Thomas; Wenckebach, Thomas; Lamecker, Hans; Seebaß, Martin; Hünerbein, Michael; Eulenstein, Sebastian; Schlag, Peter-Michael Registration of different phases of contrast-enhanced CT/MRI data for computer-assisted liver surgery planning Wiley 2005 14 Int. J. Medical Robotics and Computer Assisted Surgery 1 (3) 6 20 10.1002/rcs.23 Visual Data Analysis OPUS4-3896 Konferenzveröffentlichung Lange, Thomas; Wenckebach, Thomas; Seebaß, Martin; Lamecker, Hans; Hünerbein, Michael Registration of different phases of contrast-enhanced MR data for liver surgery 2004 3. Jahrestagung der Deutschen Gesellschaft für Computer-Roboterassistierte Chirurgie CURAC Visual Data Analysis OPUS4-3915 Konferenzveröffentlichung Seebaß, Martin; Lamecker, Hans; Lange, Thomas; Gellermann, Johanna; Wust, Peter A Statistical Shape Model of the Pelvic Bone for Segmentation 2003 1 European Society for Hyperthermic Oncology Annual Meeting Proceedings 91 92 Visual Data Analysis