@inproceedings{c95e185b143d408cab51c82932ac41ac,
title = "An optimal dimensionality multi-shell sampling scheme with accurate and efficient transforms for diffusion MRI",
abstract = "This paper proposes a multi-shell sampling scheme and corresponding transforms for the accurate reconstruction of the diffusion signal in diffusion MRI by expansion in the spherical polar Fourier (SPF) basis. The sampling scheme uses an optimal number of samples, equal to the degrees of freedom of the band-limited diffusion signal in the SPF domain, and allows for computationally efficient reconstruction. We use synthetic data sets to demonstrate that the proposed scheme allows for greater reconstruction accuracy of the diffusion signal than the multi-shell sampling scheme obtained using the generalised electrostatic energy minimisation (gEEM) method used in the Human Connectome Project. We also demonstrate that the proposed sampling scheme allows for increased angular discrimination and improved rotational invariance of reconstruction accuracy than the gEEM scheme.",
keywords = "Diffusion MRI, Multishell acquisition, SPF, Sampling scheme",
author = "Bates, {Alice P.} and Zubair Khalid and McEwen, {Jason D.} and Kennedy, {Rodney A.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 ; Conference date: 18-04-2017 Through 21-04-2017",
year = "2017",
month = jun,
day = "15",
doi = "10.1109/ISBI.2017.7950632",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "770--773",
booktitle = "2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017",
address = "United States",
}