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Abstract #1104

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

Gopal Varma1, Aaron K Grant1, Lucas Soustelle2, Olivier M Girard2, Guillaume Duhamel2, and David C Alsop1
1Radiology, Division of MRI Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States, 2CNRS, CRMBM, Aix Marseille Univ, Marseille, France

Synopsis

Keywords: Magnetization Transfer, Magnetization transfer, qMT, ihMT, brain microstructure

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.

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Keywords