Most of the approaches dedicated to fiber tracking from diffusion-weighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orientation within each imaging voxel. New emerging approaches have been proposed to obtain a better representation of the diffusion process occurring in fiber crossing. In this paper, we adapt a tracking algorithm to the q-ball representation, which results from a spherical Radon transform of high angular resolution data. This algorithm is based on a Monte-Carlo strategy, using regularized particle trajectories to sample the white matter geometry. The method is validated using a phantom of bundle crossing made up of haemodialysis fibers. The method is also applied to the detection of the auditory tract in three human subjects. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Perrin, M., Poupon, C., Cointepas, Y., Rieul, B., Golestani, N., Pallier, C., … Mangin, J. F. (2005). Fiber tracking in q-ball fields using regularized particle trajectories. In Lecture Notes in Computer Science (Vol. 3565, pp. 52–63). Springer Verlag. https://doi.org/10.1007/11505730_5
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