From signal-based to comprehensive magnetic resonance imaging

Gyula Kotek, Laura Nunez-Gonzalez, Mika W. Vogel, Gabriel P. Krestin, Dirk H.J. Poot, Juan A. Hernandez-Tamames*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
55 Downloads (Pure)


We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T1, T2) and proton density (PD) and experimental conditions such as radiofrequency field (B1) and constant/homogeneous magnetic field (B0) from associated scanners. We exploit the correspondence among three different elements: the signal evolution as a result of a repetitive sequence of blocks of radiofrequency excitation pulses and encoding gradients, the continuous Bloch equations and the mathematical description of a sequence as a linear system. This approach simultaneously provides, in a single measurement, all quantitative parameters of interest as well as associated system imperfections. Finally, we demonstrate the in-vivo applicability of the new concept on a clinical MRI scanner.

Original languageEnglish
Article number17216
JournalScientific Reports
Issue number1
Publication statusPublished - 26 Aug 2021

Bibliographical note

Funding Information:
We thank Perry Frederik (GE Healthcare) for comments on the manuscript. This work was partially supported by GE Healthcare (WS B-GEHC-8-2018).

Publisher Copyright:
© 2021, The Author(s).


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