Skip to Main content Skip to Navigation
Conference papers

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

Alice Bates 1 Alessandro Daducci 2 Emmanuel Caruyer 3 
3 Empenn
INSERM - Institut National de la Santé et de la Recherche Médicale, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : Emmanuel Caruyer Connect in order to contact the contributor
Submitted on : Wednesday, March 13, 2019 - 6:59:50 AM
Last modification on : Thursday, September 1, 2022 - 3:58:46 AM
Long-term archiving on: : Friday, June 14, 2019 - 12:28:31 PM


Files produced by the author(s)


  • HAL Id : inserm-02065830, version 1


Alice Bates, Alessandro Daducci, Emmanuel Caruyer. Multi-Dimensional Diffusion MRI Sampling Scheme: B-tensor Design and Accurate Signal Reconstruction. ISMRM 2019 - 27th Annual Meeting & Exhibition, May 2019, Montréal, Canada. pp.1-4. ⟨inserm-02065830⟩



Record views


Files downloads