Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D curve inference for diffusion MRI regularization
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Fiber tracking in q-ball fields using regularized particle trajectories
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
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Since the advent of high angular resolution diffusion imaging (HARDI) techniques in diffusion MRI great efforts have been taken in order to reconstruct complex white-matter structures, such as crossing, branching and kissing fibers. However, even highly sophisticated fiber tracking schemes, such as probabilistic tracking, suffer from the data's poor signal-to-noise (SNR) ratio. In this paper we present a novel regularization approach for q-ball fields, exploiting structural information within the data. We also propose a straightforward deterministic tracking algorithm, allowing delineation of even non-dominant pathways through crossing regions. Results from a phantom study with a biological phantom as well as a patient study, in which we reconstruct the pyramidal tract, emphasize the method's efficiency.