High‐resolution deuterium metabolic imaging of the human brain at 9.4 T using phase‐cycled <scp>balanced SSFP</scp> spectral–spatial acquisitions

We demonstrated the feasibility of using two phase-cycled bSSFP acquisitions for off-resonance insensitive high-resolution [6,6'-<sup>2</sup>H<sub>2</sub>]-glucose DMI studies in the human brain. bSSFP acquisitions have potential to improve the sensitivity of DMI despite the SNR loss of phase-cycling and other human scanner constraints.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-10-13
DOI
https://doi.org/10.1002/mrm.70114
Citations
1
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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article

High‐resolution deuterium metabolic imaging of the human brain at 9.4 T using phase‐cycled balanced SSFP spectral–spatial acquisitions

Rahel Heule, André F. Martins, Nikolai I. Avdievich, Klaus Scheffler et al.
1 citations
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
1.36
article

High‐resolution deuterium metabolic imaging of the human brain at 9.4 T using phase‐cycled balanced SSFP spectral–spatial acquisitions

Rahel Heule, André F. Martins, Nikolai I. Avdievich, Klaus Scheffler, Georgiy Solomakha, R Pohmann, Laura Kuebler, Praveen Iyyappan Valsala, Jörn Engelmann
article en
1 citations

Abstract

We demonstrated the feasibility of using two phase-cycled bSSFP acquisitions for off-resonance insensitive high-resolution [6,6'-<sup>2</sup>H<sub>2</sub>]-glucose DMI studies in the human brain. bSSFP acquisitions have potential to improve the sensitivity of DMI despite the SNR loss of phase-cycling and other human scanner constraints.

Magnetic Resonance in MedicineVol. 95(3)
German Cancer Research Center (DE), Heidelberg University (DE), Max Planck Institute for Biological Cybernetics (DE), University Children's Hospital Zurich (CH), University of Tübingen (DE)
Alexander von Humboldt-Stiftung, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Max-Planck-Gesellschaft, Deutschen Konsortium für Translationale Krebsforschung
Openalex Percentile: Top 15%
Advanced MRI Techniques and Applications
1.36
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