Atlas-based fiber reconstruction from diffusion tensor MRI data

作者：Barbieri Sebastiano^*; Klein Jan; Bauer Miriam H A; Nimsky Christopher; Hahn Horst K

来源：International Journal of Computer Assisted Radiology and Surgery, 2012, 7(6): 959-967.

DOI：10.1007/s11548-012-0774-6

• Diffusion tensor imaging
• Fiber tracking
• Atlas
• Registration

Purpose Develop a neural fiber reconstruction method based on diffusion tensor imaging, which is not as sensitive to user-defined regions of interest as streamline tractography. %26lt;br%26gt;Methods A simulated annealing approach is employed to find a non-rigid transformation to map a fiber bundle from a fiber atlas to another fiber bundle, which minimizes a specific energy functional. The energy functional describes how well the transformed fiber bundle fits the patient%26apos;s diffusion tensor data. %26lt;br%26gt;Results The feasibility of the method is demonstrated on a diffusion tensor software phantom. We analyze the behavior of the algorithm with respect to image noise and number of iterations. First results on the datasets of patients are presented. %26lt;br%26gt;Conclusions The described method maps fiber bundles based on diffusion tensor data and shows high robustness to image noise. Future developments of the method should help simplify inter-subject comparisons of fiber bundles.

• 出版日期2012-11
• 单位河北医科大学