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Abstract #0552

Multi-Dimensional Diffusion MRI Sampling Scheme: B-tensor Design and Accurate Signal Reconstruction

Alice Bates1, Alessandro Daducci2, and Emmanuel Caruyer3

1Research School of Engineering, Australian National University, Canberra, Australia, 2Computer Science department, University of Verona, Verona, Italy, 3Univ Rennes, Inria, CNRS, IRISA, Rennes, France

b-tensor encoding enables the separation of isotropic and anisotropic tensors. However, little consideration has been given as to how to design a b-tensor encoding sampling scheme. In this work, we propose the first 4D basis for representing the diffusion signal acquired with b-tensor encoding. We study the properties of the diffusion signal in this basis to give recommendations for optimally sampling the space of axisymmetric b-tensors. We show, using simulations, that the proposed sampling scheme enables accurate reconstruction of the diffusion signal by expansion in this basis using a clinically feasible number of samples.

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