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...

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Main Authors: Satoru Yamaguchi, Satoru Adachi, Sojiro Sunako
Format: Article
Language:English
Published: Cambridge University Press
Series:Annals of Glaciology
Subjects:
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.
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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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