Harmonic analysis of spherical sampling in diffusion MRI

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serval:BIB_2C842168137E
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Title
Harmonic analysis of spherical sampling in diffusion MRI
Title of the conference
ISMRM 2011, 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine
Author(s)
Daducci A., McEwen J., Van De Ville D., Thiran J.P., Wiaux Y.
Address
Montreal, Quebec, Canada, May 7-13, 2011
ISBN
1524-6965
Publication state
Published
Issued date
2011
Volume
19
Series
Proceedings of the International Society for Magnetic Resonance in Medicine
Pages
3929
Language
english
Abstract
In the last decade diffusion MRI has become a powerful
tool to non-invasively study white-matter integrity in
the brain. Recently many research groups have focused
their attention on multi-shell spherical acquisitions
with the aim of effectively mapping the diffusion signal
with a lower number of q-space samples, hence enabling a
crucial reduction of acquisition time. One of the
quantities commonly studied in this context is the
so-called orientation distribution function (ODF). In
this setting, the spherical harmonic (SH) transform has
gained a great deal of popularity thanks to its ability
to perform convolution operations efficiently and
accurately, such as the Funk-Radon transform notably
required for ODF computation from q-space data. However,
if the q-space signal is described with an unsuitable
angular resolution at any b-value probed, aliasing (or
interpolation) artifacts are unavoidably created. So far
this aspect has been tackled empirically and, to our
knowledge, no study has addressed this problem in a
quantitative approach. The aim of the present work is to
study more theoretically the efficiency of multi-shell
spherical sampling in diffusion MRI, in order to gain
understanding in HYDI-like approaches, possibly paving
the way to further optimization strategies.
Keywords
Diffusion MRI, Sampling Scheme, Fourier, LTS5, CIBM-SPC
Create date
07/01/2014 8:11
Last modification date
20/08/2019 13:11
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