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  Diffusion pore imaging in the presence of extraporal water

Ludwig, D., Laun, F. B., Klika, K. D., Rauch, J., Ladd, M. E., Bachert, P., et al. (2022). Diffusion pore imaging in the presence of extraporal water. Journal of Magnetic Resonance, 339: 107219. doi:10.1016/j.jmr.2022.107219.

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Ludwig, Dominik1, Author
Laun, Frederik Bernd1, Author
Klika, Karel D.1, Author
Rauch, Julian2, Author           
Ladd, Mark Edward1, Author
Bachert, Peter1, Author
Kuder, Tristan Anselm1, Author
Affiliations:
1external, ou_persistent22              
2Division Prof. Dr. Thomas Pfeifer, MPI for Nuclear Physics, Max Planck Society, ou_2025284              

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 Abstract: Diffusion-weighted imaging (DWI) is a powerful, non-invasive tool which is widely used in clinical rou-tine. Mostly, apparent diffusion coefficient maps are acquired, which cannot be related directly to cellular structure. More recently it was shown that DWI is able to reconstruct pore shapes using a specialized magnetic field gradient scheme so that cell size distributions may be obtained. So far, artificial systems have been used for experimental demonstration without extraporal signal components and relatively low gradient amplitudes. The aim of this study was to investigate the feasibility of diffusion pore imaging in the presence of extraporal fluids and to develop correction methods for the effects arising from extraporal signal contributions. Monte Carlo simulations and validation experiments on a 14.1 T NMR spectrometer equipped with a dedicated diffusion probe head were performed. Both by using a filter gradient approach suppressing extraporal signal components as well as by using post-processing methods relying on the Gaussian phase approximation, it was possible to reconstruct pore space functions in the presence of extraporal fluids with little to no deviations from the expectations. These results may be a significant step towards application of diffusion pore imaging to biological samples. (C)& nbsp;2022 Published by Elsevier Inc.

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 Dates: 2022-04-18
 Publication Status: Published online
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 Rev. Type: -
 Identifiers: DOI: 10.1016/j.jmr.2022.107219
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Title: Journal of Magnetic Resonance
Source Genre: Journal
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Publ. Info: San Diego [etc.] : Academic Press
Pages: - Volume / Issue: 339 Sequence Number: 107219 Start / End Page: - Identifier: ISSN: 0022-2364
CoNE: https://pure.mpg.de/cone/journals/resource/954922651175_1