Searched for: subject%3A%22T%255C+mapping%22
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Coletti, C. (author), Fotaki, Anastasia (author), Tourais, Joao (author), Zhao, Y. (author), van de Steeg-Henzen, Christal (author), Akçakaya, Mehmet (author), Tao, Q. (author), Prieto, Claudia (author), Weingärtner, S.D. (author)
Purpose: The aim of this study is to develop and optimize an adiabatic (Formula presented.) ((Formula presented.)) mapping method for robust quantification of spin-lock (SL) relaxation in the myocardium at 3T. Methods: Adiabatic SL (aSL) preparations were optimized for resilience against (Formula presented.) and (Formula presented.)...
journal article 2023
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Yang, C. (author), Zhao, Y. (author), Huang, Lu (author), Xia, Liming (author), Tao, Q. (author)
Quantitative MRI (qMRI) of the heart has become an important clinical tool for examining myocardial tissue properties. Because heart is a moving object, it is usually imaged with electrocardiogram and respiratory gating during acquisition, to “freeze” its motion. In reality, gating is more-often-than-not imperfect given the heart rate...
conference paper 2022
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Hermann, I. (author), Golla, Alena K. (author), Martínez-Heras, Eloy (author), Schmidt, Ralf (author), Solana, Elisabeth (author), Llufriu, Sara (author), Gass, Achim (author), Schad, Lothar R. (author), Zöllner, Frank G. (author)
Background: To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to T<sub>1</sub>, T2∗, NAWM, and GM- probability maps. Methods: We performed MRF-EPI measurements in 42 patients with multiple sclerosis and 6 healthy...
journal article 2021