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• W2598956420 endingPage "e3711" @default.
• W2598956420 startingPage "e3711" @default.
• W2598956420 abstract "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." @default.
• W2598956420 created "2017-04-07" @default.
• W2598956420 creator A5000738727 @default.
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• W2598956420 creator A5048070628 @default.
• W2598956420 date "2017-03-20" @default.
• W2598956420 modified "2023-10-16" @default.
• W2598956420 title "Resolution limit of cylinder diameter estimation by diffusion MRI: The impact of gradient waveform and orientation dispersion" @default.
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• W2598956420 doi "https://doi.org/10.1002/nbm.3711" @default.
• W2598956420 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5485041" @default.
• W2598956420 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28318071" @default.
• W2598956420 hasPublicationYear "2017" @default.
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