Share Email Print
cover

Proceedings Paper

White matter lesion phantom for diffusion tensor data and its application to the assessment of fiber tracking
Author(s): Mathias Schluter; Olaf Konrad-Verse; Horst Karl Hahn; Bram Stieltjes; Jan Rexilius; Heinz-Otto Peitgen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

For risk analysis prior to interventional treatment of brain tumors it is important to identify the functional brain areas affected by the tumor and to estimate their connectivity. Fiber Tracking (FT) on Diffusion Tensor (DT) data has the potential to facilitate this task. Our work is organized in two parts. First, we derive a relationship between diffusion anisotropy and orientation uncertainty of the DT by considering image noise. In order to assess a given FT algorithm with respect to the reconstruction of locally disturbed fiber bundles, this relationship is used for the simulation of white mat-ter lesions in DT data. Then, a deflection based FT algorithm is assessed with our software phantom. The FT algorithm is modified and its parameters are adjusted in order to obtain a fiber bundle reconstruction, which is robust to local fiber disturbance. Thus, it is demonstrated how to evaluate and improve FT algorithms with respect to the reconstruction of locally disturbed fiber bundles on the basis of phantom data with known ground truth. This is expected to improve functional and structural risk analysis for the interventional treatment of brain tumors.

Paper Details

Date Published: 14 April 2005
PDF: 10 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.596197
Show Author Affiliations
Mathias Schluter, MeVis-Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Olaf Konrad-Verse, MeVis-Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Horst Karl Hahn, MeVis-Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Bram Stieltjes, German Cancer Research Ctr. (Germany)
Jan Rexilius, MeVis-Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Heinz-Otto Peitgen, MeVis-Ctr. for Medical Diagnostic Systems and Visualization (Germany)


Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

© SPIE. Terms of Use
Back to Top