PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

J. Rackerseder, A. Luque, C. Düwel, N. Navab, B. Frisch
Fully automated multi-modal anatomic atlas generation using 3D-Slicer
Workshops Bildverarbeitung fuer die Medizin (BVM), Heidelberg, March 12-14, 2017. (bib)

Atlases of the human body have many applications, including for instance the analysis of information from patient cohorts to evaluate the distribution of tumours and metastases. We present a 3D Slicer module that simplifies the task of generating a multi-modal atlas from anatomical and functional data. It provides for a simpler evaluation of existing image and verbose patient data by integrating a database that is automatically generated from text files and accompanies the visualization of the atlas volume. The computation of the atlas is a two step process. First, anatomical data is pairwise registered to a reference dataset with an affine initialization and a B-Spline based deformable approach. Second, the computed transformations are applied to anatomical as well as the corresponding functional data to generate both atlases. The module is validated with a publicly available soft tissue sarcoma dataset from The Cancer Imaging Archive. We show that functional data in the atlas volume correlates with the findings from the patient database.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.13 - 30 Jan 2019 - 15:16 - LeslieCasas

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif