Dense annotation of the skeleton In medical collaboration with: Nuclear Medicine, Klinikum Rechts der Isar Scientific Director: Bjoern Menze Contact Person(s): Marie Bieth

Keywords: IBBM: image data processing

Abstract

The automated annotation of bones that are visible in CT images of the skeleton is a challenging task which has, so far, been approached for only certain subregions of the skeleton, such as the spine or hip. In this project, we develop a novel annotation algorithm for automatically identifying structures and substructures in the whole skeleton. Our annotation algorithm makes use of recent advances in anatomical landmarks detection and is capable of generalizing local information about landmarks to a dense label map of the full skeleton by anatomical triangulation.

Pictures

Figure 1: Sparse landmarks from Donner et al.

Figure 2: Skeleton's substructures annotation

Figure 3: Substructure's centroids

Team

Contact Person(s)

Marie Bieth

Working Group

Prof. Bjoern Menze

Marie Bieth

Location

Technische Universität München Institut für Informatik / I16 Boltzmannstr. 3 85748 Garching bei München Tel.: +49 89 289-17058 Fax: +49 89 289-17059

Visit our lab at Garching.

Klinikum rechts der Isar der Technischen Universitüt München Ismaninger Str. 22 81675 München IFL Lab - Room: 01.3a-c Tel.: +49 89 4140-6457 Fax: +49 89 4140-6458

Visit our lab at Klinikum rechts der Isar.



internal project page

Please contact Marie Bieth for available student projects within this research project.