T
Thomas Lange
Researcher at Charité
Publications - 42
Citations - 1291
Thomas Lange is an academic researcher from Charité. The author has contributed to research in topics: Image registration & 3D ultrasound. The author has an hindex of 16, co-authored 42 publications receiving 1250 citations. Previous affiliations of Thomas Lange include Zuse Institute Berlin.
Papers
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Proceedings Article
Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model
TL;DR: A fully automatic 3D segmentation method for the liver from contrast-enhanced CT data is presented, based on a combination of a constrained free-form and statistical deformable model, considering the potential presence of tumors in the liver.
Journal ArticleDOI
3D ultrasound-CT registration of the liver using combined landmark-intensity information
Thomas Lange,Nils Papenberg,Stefan Heldmann,Jan Modersitzki,Bernd Fischer,Hans Lamecker,P.M. Schlag +6 more
TL;DR: A method of combining anatomical landmark information with a fast non-parametric intensity registration approach that improves the mean and percentage of point distances above 3 mm compared to rigid and thin-plate spline registration based only on landmarks.
Segmentation of the Liver using a 3D Statistical Shape Model
TL;DR: An automatic approach for segmentation of the liver from computer tomography (CT) images based on a 3D statistical shape model based on minimizing the distortion of the correspondence mapping between two different surfaces is presented.
Book ChapterDOI
Augmenting Intraoperative 3D Ultrasound with Preoperative Models for Navigation in Liver Surgery
TL;DR: This work presents an overview of the whole ultrasound navigation system as well as an approach for fast intraoperative non-rigid registration of the preoperative models to the ultrasound volume via intraoperative 3D ultrasound.
Journal ArticleDOI
Feasibility of navigated resection of liver tumors using multiplanar visualization of intraoperative 3-dimensional ultrasound data.
TL;DR: Optoelectronic navigation with section mode visualization in 2 orthogonal planes does sufficiently display intraoperative 3D data and enables accurate ultrasound-based navigation of liver resections and shows significant increase of the accuracy of navigated resections compared with conventional resection.