Hans-Peter Meinzer

TL;DR: Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images as discussed by the authors, primarily made possible by breakthroughs in automatic detection of shape correspondences.

TL;DR: A comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.

TL;DR: The goal of MITK is to significantly reduce the effort required to construct specifically tailored, interactive applications for medical image analysis, by allowing an easy combination of algorithms developed by ITK with visualizations created by VTK and extends these two toolkits with those features outside the scope of both.

TL;DR: The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control.

TL;DR: This study investigates the effects of kyphoplasty on pain and mobility in patients with osteoporosis and painful vertebral fractures compared with conventional medical management.