Refinement of the model and types of data for quantitative Magnetization Transfer (qMT) in brain tissues

Motivation: To improve the accuracy of quantitative Magnetization Transfer (qMT) for interrogation of brain microstructure. Goal(s): To determine: i) the model for qMT that best describes the signal from MT and inhomogeneous MT (ihMT) experiments, and ii) the MT preparations that contribute useful data. Approach: We tested accuracies of the models based on fit quality in-vivo and ex-vivo, comparing ex-vivo qMT at physiological and room temperatures. Data were retrospectively reduced to test the importance of types of MT preparations. Results: We recommend a model with two bound-pool T2 values and use of different MT pulse widths and duty cycles as a result. Impact: Our results will impact the model and data acquired for quantitative Magnetization Transfer (qMT) of brain tissues. Use of a two bound-pool model with distinct T2 values and data inputs with variations in MT pulse width and DC is recommended.

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/10.58530/2024/1104
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Refinement of the model and types of data for quantitative Magnetization Transfer (qMT) in brain tissues

Guillaume Duhamel, Olivier M. Girard, Aaron K. Grant, Gopal Varma et al.
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
Advanced MRI Techniques and Applications
article

Refinement of the model and types of data for quantitative Magnetization Transfer (qMT) in brain tissues

Guillaume Duhamel, Olivier M. Girard, Aaron K. Grant, Gopal Varma, Lucas Soustelle, David C. Alsop
article en

Abstract

Motivation: To improve the accuracy of quantitative Magnetization Transfer (qMT) for interrogation of brain microstructure. Goal(s): To determine: i) the model for qMT that best describes the signal from MT and inhomogeneous MT (ihMT) experiments, and ii) the MT preparations that contribute useful data. Approach: We tested accuracies of the models based on fit quality in-vivo and ex-vivo, comparing ex-vivo qMT at physiological and room temperatures. Data were retrospectively reduced to test the importance of types of MT preparations. Results: We recommend a model with two bound-pool T2 values and use of different MT pulse widths and duty cycles as a result. Impact: Our results will impact the model and data acquired for quantitative Magnetization Transfer (qMT) of brain tissues. Use of a two bound-pool model with distinct T2 values and data inputs with variations in MT pulse width and DC is recommended.

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 64%
Advanced MRI Techniques and Applications
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Refinement of the model and types of data for quantitative Magnetization Transfer (qMT) in brain tissues — Guillaume Duhamel, Olivier M. Girard, et al. · 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 (2024) | TGRS Research Map | TGRS