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Diffusion processes modeling in magnetic resonance imaging
BACKGROUND: The paper covers modern approaches to the evaluation of neoplastic processes with diffusion-weighted imaging (DWI) and proposes a physical model for monitoring the primary quantitative parameters of DWI and quality assurance. Models of hindered and restricted diffusion are studied. MATER...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188746/ https://www.ncbi.nlm.nih.gov/pubmed/32346809 http://dx.doi.org/10.1186/s13244-020-00863-w |
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author | Morozov, Sergey Sergunova, Kristina Petraikin, Alexey Akhmad, Ekaterina Kivasev, Stanislav Semenov, Dmitry Blokhin, Ivan Karpov, Igor Vladzymyrskyy, Anton Morozov, Alexander |
author_facet | Morozov, Sergey Sergunova, Kristina Petraikin, Alexey Akhmad, Ekaterina Kivasev, Stanislav Semenov, Dmitry Blokhin, Ivan Karpov, Igor Vladzymyrskyy, Anton Morozov, Alexander |
author_sort | Morozov, Sergey |
collection | PubMed |
description | BACKGROUND: The paper covers modern approaches to the evaluation of neoplastic processes with diffusion-weighted imaging (DWI) and proposes a physical model for monitoring the primary quantitative parameters of DWI and quality assurance. Models of hindered and restricted diffusion are studied. MATERIAL AND METHOD: To simulate hindered diffusion, we used aqueous solutions of polyvinylpyrrolidone with concentrations of 0 to 70%. We created siloxane-based water-in-oil emulsions that simulate restricted diffusion in the intracellular space. To obtain a high signal on DWI in the broadest range of b values, we used silicon oil with high T(2): cyclomethicone and caprylyl methicone. For quantitative assessment of our phantom, we performed DWI on 1.5T magnetic resonance scanner with various fat suppression techniques. We assessed water-in-oil emulsion as an extracorporeal source signal by simultaneously scanning a patient in whole-body DWI sequence. RESULTS: We developed phantom with control substances for apparent diffusion coefficient (ADC) measurements ranging from normal tissue to benign and malignant lesions: from 2.29 to 0.28 mm(2)/s. The ADC values of polymer solutions are well relevant to the mono-exponential equation with the mean relative difference of 0.91%. CONCLUSION: The phantom can be used to assess the accuracy of the ADC measurements, as well as the effectiveness of fat suppression. The control substances (emulsions) can be used as a body marker for quality assurance in whole-body DWI with a wide range of b values. |
format | Online Article Text |
id | pubmed-7188746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71887462020-04-30 Diffusion processes modeling in magnetic resonance imaging Morozov, Sergey Sergunova, Kristina Petraikin, Alexey Akhmad, Ekaterina Kivasev, Stanislav Semenov, Dmitry Blokhin, Ivan Karpov, Igor Vladzymyrskyy, Anton Morozov, Alexander Insights Imaging Original Article BACKGROUND: The paper covers modern approaches to the evaluation of neoplastic processes with diffusion-weighted imaging (DWI) and proposes a physical model for monitoring the primary quantitative parameters of DWI and quality assurance. Models of hindered and restricted diffusion are studied. MATERIAL AND METHOD: To simulate hindered diffusion, we used aqueous solutions of polyvinylpyrrolidone with concentrations of 0 to 70%. We created siloxane-based water-in-oil emulsions that simulate restricted diffusion in the intracellular space. To obtain a high signal on DWI in the broadest range of b values, we used silicon oil with high T(2): cyclomethicone and caprylyl methicone. For quantitative assessment of our phantom, we performed DWI on 1.5T magnetic resonance scanner with various fat suppression techniques. We assessed water-in-oil emulsion as an extracorporeal source signal by simultaneously scanning a patient in whole-body DWI sequence. RESULTS: We developed phantom with control substances for apparent diffusion coefficient (ADC) measurements ranging from normal tissue to benign and malignant lesions: from 2.29 to 0.28 mm(2)/s. The ADC values of polymer solutions are well relevant to the mono-exponential equation with the mean relative difference of 0.91%. CONCLUSION: The phantom can be used to assess the accuracy of the ADC measurements, as well as the effectiveness of fat suppression. The control substances (emulsions) can be used as a body marker for quality assurance in whole-body DWI with a wide range of b values. Springer Berlin Heidelberg 2020-04-28 /pmc/articles/PMC7188746/ /pubmed/32346809 http://dx.doi.org/10.1186/s13244-020-00863-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Morozov, Sergey Sergunova, Kristina Petraikin, Alexey Akhmad, Ekaterina Kivasev, Stanislav Semenov, Dmitry Blokhin, Ivan Karpov, Igor Vladzymyrskyy, Anton Morozov, Alexander Diffusion processes modeling in magnetic resonance imaging |
title | Diffusion processes modeling in magnetic resonance imaging |
title_full | Diffusion processes modeling in magnetic resonance imaging |
title_fullStr | Diffusion processes modeling in magnetic resonance imaging |
title_full_unstemmed | Diffusion processes modeling in magnetic resonance imaging |
title_short | Diffusion processes modeling in magnetic resonance imaging |
title_sort | diffusion processes modeling in magnetic resonance imaging |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188746/ https://www.ncbi.nlm.nih.gov/pubmed/32346809 http://dx.doi.org/10.1186/s13244-020-00863-w |
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