Fiber tracking in q-ball fields using regularized particle trajectories

Authors:
M. Perrin;C. Poupon;Y. Cointepas;B. Rieul;N. Golestani;C. Pallier;D. Rivière;A. Constantinesco;D. Le Bihan;J. -F. Mangin
Affiliations:
Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;CHU Hautepierre, Strasbourg;Service Hospitalier Frédéric Joliot, CEA, Orsay, France;Service Hospitalier Frédéric Joliot, CEA, Orsay, France
Venue:
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Year:
2005

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Abstract

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.