Thomas Böttger

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 Medical Imaging Interaction Toolkit (MITK) supplements those features to ITK and VTK that are required for convenient to use, interactive and by that clinically usable image-based software, and that are outside the scope of both.

TL;DR: In this article, a deformable simplex meshes are used for 3D segmentation of medical image data and magnetic resonance imaging (MRI) lung images, and a deformation algorithm guarantees that the surface model will pass through these interactively set points.

TL;DR: A dedicated workplace for interactive segmentation integratd within the CHILI (tele-)radiology system with a lot of improvements with respect to its graphical user interface, the segmentation process and the segmentatin methods is presented.

TL;DR: A new workflow for semi-automatic segmentation of the lung from additionally acquired morphological HASTE MR images is proposed that reduces the time needed for post-processing of the data, simplifies the perfusion quantification and reduces interobserver variability in the segmentation process.