Open‐source implementation of X‐nuclear sequences using the Pulseq framework

We have designed a modular 2D gradient echo spiral sequence supporting several sequence formats and a modular metabolic-specific 3D balanced steady-state free precession sequence for <sup>13</sup>C acquisition, as well as developed a GE interpreter with X-nucleus capabilities. Our work paves the way for future multi-site studies with acquisitions for X-nuclei across MRI vendors and software versions.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-04-02
DOI
https://doi.org/10.1002/mrm.30509
Citations
2
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51

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article

Open‐source implementation of X‐nuclear sequences using the Pulseq framework

Di Cui, Zhen J. Wang, Jon‐Fredrik Nielsen, Rolf F. Schulte et al.
2 citations
Magnetic Resonance in Medicine
Advanced NMR Techniques and Applications
1.51
article

Open‐source implementation of X‐nuclear sequences using the Pulseq framework

Di Cui, Zhen J. Wang, Jon‐Fredrik Nielsen, Rolf F. Schulte, Duan Xu, Daniel B. Vigneron, Peder E. Z. Larson, Jeremy W. Gordon, Dirk Mayer, Andreas Korzowski, Robert R. Flavell, Changhua Mu, Xiaoxi Liu, Lucas Carvajal
article en
2 citations

Abstract

We have designed a modular 2D gradient echo spiral sequence supporting several sequence formats and a modular metabolic-specific 3D balanced steady-state free precession sequence for <sup>13</sup>C acquisition, as well as developed a GE interpreter with X-nucleus capabilities. Our work paves the way for future multi-site studies with acquisitions for X-nuclei across MRI vendors and software versions.

Magnetic Resonance in MedicineVol. 94(2)
University of Maryland, Baltimore (US), German Cancer Research Center (DE), Heidelberg University (DE), University of Michigan (US), University of California System (US), Siemens Healthineers (Germany) (DE), University of Maryland, College Park (US)
Deutschen Konsortium für Translationale Krebsforschung, National Institutes of Health, University of California, San Francisco, Department of Radiology and Biomedical Imaging, University of California, San Francisco
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Advanced NMR Techniques and Applications
1.51
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