Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine

Differences in R<sub>1</sub> measurements could repeatably be discerned between normal and abnormal appearing brain tissues.

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Publication Details

Journal
Magnetic Resonance Materials in Physics Biology and Medicine
Published
2025-02-15
DOI
https://doi.org/10.1007/s10334-025-01230-w
Citations
1
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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article

Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine

Nicholas Senn, Lionel Broche, P. J. Ross, Clarisse F. de Vries et al.
1 citations
Magnetic Resonance Materials in Physics Biology and Medicine
Medical Imaging Techniques and Applications
1.36
article

Field-cycling imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine

Nicholas Senn, Lionel Broche, P. J. Ross, Clarisse F. de Vries, C. L. R. James, Reina Aydé, Mary Joan MacLeod, Vasiliki Mallikourti, Gordon D. Waiter, Arjun Krishna
article en
1 citations

Abstract

Differences in R<sub>1</sub> measurements could repeatably be discerned between normal and abnormal appearing brain tissues.

Magnetic Resonance Materials in Physics Biology and MedicineVol. 38(3)
University of Aberdeen (GB), University of Glasgow (GB)
Chief Scientist Office, University of Aberdeen
Openalex Percentile: Top 23%
Medical Imaging Techniques and Applications
1.36
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