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A precise and fast temperature mapping using water proton chemical shift

Ishihara, Yasutoshi, Calderon, Arturo, Watanabe, Hidehiro, Okamoto, Kazuya, Suzuki, Yoshinori, Kuroda, Kagayaki, Suzuki, Yutaka·1995·Magnetic Resonance in Medicine

Abstract

A new temperature measurement procedure using phase mapping was developed that makes use of the temperature dependence of the water proton chemical shift. Highly accurate and fast measurements were obtained during phantom and in vivo experiments. In the pure water phantom experiments, an accuracy of more than ± 0.5°C was obtained within a few seconds/slice using a field echo pulse sequence (TR/TE = 115/13 ms, matrix = 128 × 128, number of slices = 5). The temperature dependence of the water proton chemical shift was found to be almost the same for different materials with a chemical composition similar to living tissues (water, glucide, protein). Using this method, the temperature change inside a cat's brain was obtained with an accuracy of more than ± 1°C and an in‐plane resolution of 0.6 x 0.6 mm. The temperature measurement error was affected by several factors in the living system (B 0 shifts caused by position shifts of the sample, blood flow, etc.), the position shift effect being the most serious.

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Metadata

Authors
Ishihara, Y., Calderon, A., Watanabe, H., Okamoto, K., Suzuki, Y., Kuroda, K., & Suzuki, Y.
Venue
Magnetic Resonance in Medicine
Publisher
Wiley
Published
1995-12
Volume
34
Issue
6
Pages
814-823
ISSN
  • 0740-3194 (ISSN-L)
  • 1522-2594
OpenAlex
W2098816456
Cited by
1,027
References
0
FWCI
11.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A precise and fast temperature mapping using water proton chemical shift. https://app.cochat.ai/papers/10.1002/mrm.1910340606
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Ishihara, Y., Calderon, A., Watanabe, H., Okamoto, K., Suzuki, Y., Kuroda, K., & Suzuki, Y. (1995). A precise and fast temperature mapping using water proton chemical shift. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910340606

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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