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A model for extra-axonal diffusion spectra with frequency-dependent restriction
PURPOSE: In the brain, there is growing interest in using the temporal diffusion spectrum to characterize axonal geometry in white matter because of the potential to be more sensitive to small pores compared to conventional time-dependent diffusion. However, analytical expressions for the diffusion...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682484/ https://www.ncbi.nlm.nih.gov/pubmed/25046481 http://dx.doi.org/10.1002/mrm.25363 |
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author | Lam, Wilfred W Jbabdi, Saâd Miller, Karla L |
author_facet | Lam, Wilfred W Jbabdi, Saâd Miller, Karla L |
author_sort | Lam, Wilfred W |
collection | PubMed |
description | PURPOSE: In the brain, there is growing interest in using the temporal diffusion spectrum to characterize axonal geometry in white matter because of the potential to be more sensitive to small pores compared to conventional time-dependent diffusion. However, analytical expressions for the diffusion spectrum of particles have only been derived for simple, restricting geometries such as cylinders, which are often used as a model for intra-axonal diffusion. The extra-axonal space is more complex, but the diffusion spectrum has largely not been modeled. We propose a model for the extra-axonal space, which can be used for interpretation of experimental data. THEORY AND METHODS: An empirical model describing the extra-axonal space diffusion spectrum was compared with simulated spectra. Spectra were simulated using Monte Carlo methods for idealized, regularly and randomly packed axons over a wide range of packing densities and spatial scales. The model parameters are related to the microstructural properties of tortuosity, axonal radius, and separation for regularly packed axons and pore size for randomly packed axons. RESULTS: Forward model predictions closely matched simulations. The model fitted the simulated spectra well and accurately estimated microstructural properties. CONCLUSIONS: This simple model provides expressions that relate the diffusion spectrum to biologically relevant microstructural properties. Magn Reson Med 73:2306–2320, 2015. © 2014 The authors. Magnetic Resonance in Medicine Published by Wiley Periodicals, Inc. on behalf of International Society of Medicine in Resonance. |
format | Online Article Text |
id | pubmed-4682484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-46824842015-12-23 A model for extra-axonal diffusion spectra with frequency-dependent restriction Lam, Wilfred W Jbabdi, Saâd Miller, Karla L Magn Reson Med Biophysics and Basic Biomedical Research–Full Papers PURPOSE: In the brain, there is growing interest in using the temporal diffusion spectrum to characterize axonal geometry in white matter because of the potential to be more sensitive to small pores compared to conventional time-dependent diffusion. However, analytical expressions for the diffusion spectrum of particles have only been derived for simple, restricting geometries such as cylinders, which are often used as a model for intra-axonal diffusion. The extra-axonal space is more complex, but the diffusion spectrum has largely not been modeled. We propose a model for the extra-axonal space, which can be used for interpretation of experimental data. THEORY AND METHODS: An empirical model describing the extra-axonal space diffusion spectrum was compared with simulated spectra. Spectra were simulated using Monte Carlo methods for idealized, regularly and randomly packed axons over a wide range of packing densities and spatial scales. The model parameters are related to the microstructural properties of tortuosity, axonal radius, and separation for regularly packed axons and pore size for randomly packed axons. RESULTS: Forward model predictions closely matched simulations. The model fitted the simulated spectra well and accurately estimated microstructural properties. CONCLUSIONS: This simple model provides expressions that relate the diffusion spectrum to biologically relevant microstructural properties. Magn Reson Med 73:2306–2320, 2015. © 2014 The authors. Magnetic Resonance in Medicine Published by Wiley Periodicals, Inc. on behalf of International Society of Medicine in Resonance. John Wiley & Sons, Ltd 2015-06 2014-07-15 /pmc/articles/PMC4682484/ /pubmed/25046481 http://dx.doi.org/10.1002/mrm.25363 Text en © 2014 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society of Medicine in Resonance. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biophysics and Basic Biomedical Research–Full Papers Lam, Wilfred W Jbabdi, Saâd Miller, Karla L A model for extra-axonal diffusion spectra with frequency-dependent restriction |
title | A model for extra-axonal diffusion spectra with frequency-dependent restriction |
title_full | A model for extra-axonal diffusion spectra with frequency-dependent restriction |
title_fullStr | A model for extra-axonal diffusion spectra with frequency-dependent restriction |
title_full_unstemmed | A model for extra-axonal diffusion spectra with frequency-dependent restriction |
title_short | A model for extra-axonal diffusion spectra with frequency-dependent restriction |
title_sort | model for extra-axonal diffusion spectra with frequency-dependent restriction |
topic | Biophysics and Basic Biomedical Research–Full Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682484/ https://www.ncbi.nlm.nih.gov/pubmed/25046481 http://dx.doi.org/10.1002/mrm.25363 |
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