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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Bibliographic Details
Published in:Annals of Glaciology
Main Authors: Satoru Yamaguchi, Satoru Adachi, Sojiro Sunako
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press
Subjects:
Snow
snow microstructure
snow physics
Meteorology. Climatology
QC851-999
Annals of Glaciology
Online Access:https://doi.org/10.1017/aog.2023.77
https://doaj.org/article/52a00c1d959d47b48314a04a5442aac2
Description
Summary: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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