Field and TE independent liver iron concentration estimation using signal intensity ratios

Motivation: Estimation of liver iron concentration by R2* relaxation (LICR2*) is a powerful and widely used technique, however, it may fail from signal loss at high liver iron concentration. Goal(s): To estimate LIC from a single-TE liver-muscle signal intensity ratio (LICSIR) and validate at 1.5 and 3.0 Tesla. Approach: Using LICR2* estimates collected at 1.5T as a reference, we compared LICSIR estimates in 15 subjects who had undergone MRI examination at both 1.5T and 3.0T. Results: We were able to derive field-independent scaling constants that allow LICSIR estimation at 1.5 and 3.0T, more than doubling the effective dynamic range of LICR2* estimation. Impact: This generalized framework for LICSIR estimation allows reasonable LIC values to be reported (and trended) in patients for whom traditional relaxometry has failed. It also allows approximate LIC calculation from commonly used single and dual echo gradient echo acquisitions.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4818
Primary Topic
Nuclear Physics and Applications
Type
article
Field-Weighted Citation Impact
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article

Field and TE independent liver iron concentration estimation using signal intensity ratios

Eamon K. Doyle, John G. Wood
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Nuclear Physics and Applications
article

Field and TE independent liver iron concentration estimation using signal intensity ratios

Eamon K. Doyle, John G. Wood
article en

Abstract

Motivation: Estimation of liver iron concentration by R2* relaxation (LICR2*) is a powerful and widely used technique, however, it may fail from signal loss at high liver iron concentration. Goal(s): To estimate LIC from a single-TE liver-muscle signal intensity ratio (LICSIR) and validate at 1.5 and 3.0 Tesla. Approach: Using LICR2* estimates collected at 1.5T as a reference, we compared LICSIR estimates in 15 subjects who had undergone MRI examination at both 1.5T and 3.0T. Results: We were able to derive field-independent scaling constants that allow LICSIR estimation at 1.5 and 3.0T, more than doubling the effective dynamic range of LICR2* estimation. Impact: This generalized framework for LICSIR estimation allows reasonable LIC values to be reported (and trended) in patients for whom traditional relaxometry has failed. It also allows approximate LIC calculation from commonly used single and dual echo gradient echo acquisitions.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 70%
Nuclear Physics and Applications
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