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Matheon F2

Atlas-based 3D Image Segmentation

Description

This is a joint project between the working groups Medical Planning and Computational Medicine. Segmentation of medical image data (CT, MRT, ...) is a prerequisite in computer assisted diagnosis and therapy planning. Due to the nature of medical images the task of segmentation can be tedious, time-consuming and may involve manual guidance. The goal of this project is to incorporate a-priori knowledge about shape and image characteristics of the objects to be segmented into the segmentation process. Further information is available in the detailed project description.

Members

Hans Lamecker
Malik Kirchner
Heiko Ramm
Stefan Zachow

Responsible

Martin Weiser 
Hans-Christian Hege

Partners

Funding

DFG Research Center Matheon "Mathematics for key technologies"

Duration

06/2002 - 05/2014

Recent Publications

A. Günther, H. Lamecker, M. Weiser:
Flexible Shape Matching with Finite Element Based LDDMM
Int. J. Computer Vision, Springer, accepted for publication, 2012.

D. Kainmueller, H. Lamecker, M. Heller, B. Weber, H.-C. Hege, S. Zachow:
Omnidirectional Displacements for Deformable Surfaces
Medical Image Analysis, Elsevier, accepted for publication, 2012.

Matthias Bindernagel, Dagmar Kainmüller, Heiko Seim, Hans Lamecker, Stefan Zachow:
Analysis of Inter-Individual Anatomical Shape Variations of Joint Structures
Proc. Int. Society of Computer Assisted Orthopaedic Surgery (CAOS), no. 210, 2012.