In clinical routine of liver surgery there are a multitude of risks such as vessel injuries, blood loss, incomplete tumor resection, etc. In order to avoid these risks the surgeons perform a planning of a surgical intervention. A good graphical representation of the liver and its inner structures is of great importance for a good planning. In this work we introduce a new planning system for liver surgery, which is meant for computer tomography (CT) data analysis and graphical representation. The system is based on automatic and semiautomatic segmentation techniques as well as on a simple and intuitive user interface and was developed with the intention to help surgeons by planning an operation and increasing the efficiency in open liver surgery.

The use of a suitable navigation system improves safety and effectiveness in liver surgery for intraoperative localization of key structures such as tumors. However, resecting hepatic tumors with appropriate safety margin demands for further enhancements concerning the proposed methods.

A formerly developed ultrasound liver phantom for testing of surgical navigation systems and liver resection trainings was evaluated experimentally. The phantom was scanned with CT and the dataset was analyzed with existing segmentation techniques. A virtual 3D model was generated on the basis of the segmentation; it was later used for phantom registration in a surgical assistance navigation system. Within an experiment, ten test persons have tried to touch three tumor models hidden in the phantom with the tip of a resection instrument. In 67% of overall 30 touch trials it was a successful touch at the first go. It means that the developed liver phantom is appropriate for testing of surgical navigation systems, as well as for computer assisted liver resection trainings.

The aim of this work is to provide the surgeon-urologist with a system for automatic 2D and 3D-reconstruction of the bladder wall to help him within the treatment of bladder cancer as well as planning and documentation of the interventions. Within this small pilot-framework a fast feasibility study was made to clear if it is generally possible to build a bladder wall model using a special endoscope with an embedded laser-based distance measurement, an optical navigation system and modern image stitching techniques. Some experiments with a realistic bladder phantom have shown that this initial concept is generally acceptable and can be used with some extensions to build a system which can provide an automatic bladder wall reconstruction in real time to be used within a surgical intervention.

Hepatic vessel structure is very important to ensure the blood supply of the liver tissue. Therefore the knowledge of the hepatic vessel system is indispensable in liver surgery planning, for example before performing a liver resection. The purpose of this paper is to present an easy to use and fast method concerning hepatic vessel segmentation and risk analysis, which is intended to be applicable in clinical routine.