A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images
The relationship between the behavior of water in snow and its microstructure is crucial to improve the prediction of wet snow disasters. X-ray computed tomography (X-ray CT) is frequently used to observe snow microscopically. However, distinguishing between ice and water in the X-ray images is diff...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Cambridge University Press
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Series: | Annals of Glaciology |
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Online Access: | https://www.cambridge.org/core/product/identifier/S0260305523000770/type/journal_article |
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author | Satoru Yamaguchi Satoru Adachi Sojiro Sunako |
author_facet | Satoru Yamaguchi Satoru Adachi Sojiro Sunako |
author_sort | Satoru Yamaguchi |
collection | DOAJ |
description | The relationship between the behavior of water in snow and its microstructure is crucial to improve the prediction of wet snow disasters. X-ray computed tomography (X-ray CT) is frequently used to observe snow microscopically. However, distinguishing between ice and water in the X-ray images is difficult because ice exhibits an X-ray absorption coefficient similar to that of water. In contrast, magnetic resonance imaging (MRI) acquires nuclear magnetic resonance (NMR) signals of protons in a liquid and visualizes the NMR signal intensity, enabling discrimination between water and ice signals. However, snow grains and pore spaces cannot be distinguished in MRI images because they do not generate NMR signals. |
first_indexed | 2024-03-08T14:45:54Z |
format | Article |
id | doaj.art-52a00c1d959d47b48314a04a5442aac2 |
institution | Directory Open Access Journal |
issn | 0260-3055 1727-5644 |
language | English |
last_indexed | 2024-03-08T14:45:54Z |
publisher | Cambridge University Press |
record_format | Article |
series | Annals of Glaciology |
spelling | doaj.art-52a00c1d959d47b48314a04a5442aac22024-01-11T09:44:55ZengCambridge University PressAnnals of Glaciology0260-30551727-564411110.1017/aog.2023.77A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT imagesSatoru Yamaguchi0https://orcid.org/0000-0001-9972-0443Satoru Adachi1Sojiro Sunako2https://orcid.org/0000-0002-0403-1950Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Resilience, Nagaoka, Niigata, JapanShinjo Cryospheric Environment Laboratory, Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Resilience, Shinjo, Yamagata, JapanSnow and Ice Research Center, National Research Institute for Earth Science and Disaster Resilience, Nagaoka, Niigata, JapanThe relationship between the behavior of water in snow and its microstructure is crucial to improve the prediction of wet snow disasters. X-ray computed tomography (X-ray CT) is frequently used to observe snow microscopically. However, distinguishing between ice and water in the X-ray images is difficult because ice exhibits an X-ray absorption coefficient similar to that of water. In contrast, magnetic resonance imaging (MRI) acquires nuclear magnetic resonance (NMR) signals of protons in a liquid and visualizes the NMR signal intensity, enabling discrimination between water and ice signals. However, snow grains and pore spaces cannot be distinguished in MRI images because they do not generate NMR signals.https://www.cambridge.org/core/product/identifier/S0260305523000770/type/journal_articleSnowsnow microstructuresnow physics |
spellingShingle | Satoru Yamaguchi Satoru Adachi Sojiro Sunako A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images Annals of Glaciology Snow snow microstructure snow physics |
title | A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images |
title_full | A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images |
title_fullStr | A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images |
title_full_unstemmed | A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images |
title_short | A novel method to visualize liquid distribution in snow: superimposition of MRI and X-ray CT images |
title_sort | novel method to visualize liquid distribution in snow superimposition of mri and x ray ct images |
topic | Snow snow microstructure snow physics |
url | https://www.cambridge.org/core/product/identifier/S0260305523000770/type/journal_article |
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