Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging

Haz-Edine Assemlal (1) , David Tschumperlé (1) , Luc Brun (1)

1 Equipe Image - Laboratoire GREYC - UMR6072

We address the problem of effi cient sampling of the di ffusion space for the Di usion Magnetic Resonance Imaging (dMRI) modality. While recent scanner improvements enable the acquisition of more and more detailed images, it is still unclear which q-space sampling strategy gives the best performance. We evaluate several q-space sampling distributions by an approach based on the approximation of the MR signal by a series expansion of Spherical Harmonics and Laguerre-Gaussian functions. With the help of synthetic experiments, we identify a subset of sampling distributions which leads to the best reconstructed data.

Domaines: Traitement des images [eess.IV]

Haz-Edine Assemlal, David Tschumperlé, Luc Brun. Evaluation of q-Space Sampling Strategies for the Diffusion Magnetic Resonance Imaging. Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'09), Sep 2009, London, United Kingdom. pp.406-414, ⟨10.1007/978-3-642-04271-3_50⟩. ⟨hal-00814007⟩