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Resolution Limit of Cylinder Diameter Estimation by Diffusion MRI: The Impact of Gradient Waveform and Orientation Dispersion

Institution:
1Clinical Sciences Lund, Department of Radiology, Lund University, Lund, Sweden.
2CR Development AB, Lund, Sweden.
3University College London, London, UK.
4Division of Physical Chemistry, Department of Chemistry, Lund University, Lund, Sweden.
5Laboratory for Mathematical Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Wiley
Publication Date:
Jul-2017
Journal:
NMR Biomed
Volume Number:
30
Issue Number:
7
Citation:
NMR Biomed. 2017 Jul;30(7).
PubMed ID:
28318071
PMCID:
PMC5485041
Keywords:
Axon diameter, diffusion imaging, double diffusion encoding, microstructure, oscillating diffusion encoding, q-trajectory encoding, resolution limit, single diffusion encoding
Appears in Collections:
NAC, LMI, SPL
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
R01 MH074794/MH/NIMH NIH HHS/United States
R01 MH092862/MH/NIMH NIH HHS/United States
Generated Citation:
Nilsson M., Lasič S., Drobnjak I., Topgaard D., Westin C-F. Resolution Limit of Cylinder Diameter Estimation by Diffusion MRI: The Impact of Gradient Waveform and Orientation Dispersion. NMR Biomed. 2017 Jul;30(7). PMID: 28318071. PMCID: PMC5485041.
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Diffusion MRI has been proposed as a non-invasive technique for axonal diameter mapping. However, accurate estimation of small diameters requires strong gradients, which is a challenge for the transition of the technique from preclinical to clinical MRI scanners, since these have weaker gradients. In this work, we develop a framework to estimate the lower bound for accurate diameter estimation, which we refer to as the resolution limit. We analyse only the contribution from the intra-axonal space and assume that axons can be represented by impermeable cylinders. To address the growing interest in using techniques for diffusion encoding that go beyond the conventional single diffusion encoding (SDE) sequence, we present a generalised analysis capable of predicting the resolution limit regardless of the gradient waveform. Using this framework, waveforms were optimised to minimise the resolution limit. The results show that, for parallel cylinders, the SDE experiment is optimal in terms of yielding the lowest possible resolution limit. In the presence of orientation dispersion, diffusion encoding sequences with square-wave oscillating gradients were optimal. The resolution limit for standard clinical MRI scanners (maximum gradient strength 60-80 mT/m) was found to be between 4 and 8 μm, depending on the noise levels and the level of orientation dispersion. For scanners with a maximum gradient strength of 300 mT/m, the limit was reduced to between 2 and 5 μm.

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