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The quantitative assessment of neck lymph nodes in the context of malign tumors requires an efficient segmentation technique for lymph nodes in tomographic 3D datasets. We present a Stable 3D Mass-Spring Model for lymph node segmentation in CT datasets. Our model for the first time represents concurrently the characteristic gray value range, directed contour information as well as shape knowledge, which leads to a much more robust and efficient segmentation process. Our model design and segmentation accuracy are both evaluated with lymph nodes from clinical CT neck datasets.

We describe scripting facilities to create medical animations for intervention planning based on medical volume data and derived segmentation information. A data independent scripting language has been developed to separate animation scripts from imaging data. The scripting facilities are adaptive and allow to reuse one script to create animations for many different patients. With expressive animations, we support the individual planning process, the preoperative documentation as well as discussions between medical doctors, for example in a tumor board. We also discuss the enhancement of interactive explorations with animations generated on the fly.

The acceptance of computer assisted surgical planning was studied by polling 500 German surgeons. 500 questionnaires were sent, from which 105 have been returned, from which 102 could be analysed. The questionnaire consisted of 14 questions relating to the current practice of surgery planning as well as to desired improvements. In general, the computer assisted surgical planning was assessed as a promising tool in the future. 82 % of the surgeons expected a benefit by computer assisted surgical planning. Better assessment of resectability, better training of residents and more safety of surgical procedures were mentioned in the majority. Computer assisted surgical planning should focus on 3D visualization of spatial relations between lesions and vascular structures, on facilities for the preoperative trial of resection strategies and on the documentation of the planned procedure. The current version of a research prototype (Surgery-Planner) is presented which is dealing with these goals.