On The Optimal Readout Trajectory for Hyperpolarised 13C Metabolic Imaging

Motivation: Determine the optimal readout trajectory for metabolic imaging with hyperpolarised [1-13C]pyruvate in humans. Goal(s): Implement and compare the two most common efficient spatial encoding schemes: spiral and EPI. Approach: One metabolite in one slice is excited via a spectral-spatial pulse combined with a single-shot readout trajectory. For most comparable results, both spiral and EPI were alternated in a single sequence following one injection of hyperpolarised [1-13C]pyruvate. Results: Spirals exhibit better SNR while EPI shows more image features, pointing to better spatial resolution. Impact: 13C metabolic imaging provides valuable clinical information, such as tumour-treatment response, and may complement or provide an alternative to PET. For clinical studies, it is important to choose the optimal sequence.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4478
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On The Optimal Readout Trajectory for Hyperpolarised 13C Metabolic Imaging

Rolf F. Schulte, Peder E. Z. Larson, Arnaud Comment, Jeremy W. Gordon et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced NMR Techniques and Applications
article

On The Optimal Readout Trajectory for Hyperpolarised 13C Metabolic Imaging

Rolf F. Schulte, Peder E. Z. Larson, Arnaud Comment, Jeremy W. Gordon, Esben Søvsø Szocska Hansen, Christoffer Laustsen, Albert Chen, Charles G. Cunningham, Maximillian Fuetterer
article en

Abstract

Motivation: Determine the optimal readout trajectory for metabolic imaging with hyperpolarised [1-13C]pyruvate in humans. Goal(s): Implement and compare the two most common efficient spatial encoding schemes: spiral and EPI. Approach: One metabolite in one slice is excited via a spectral-spatial pulse combined with a single-shot readout trajectory. For most comparable results, both spiral and EPI were alternated in a single sequence following one injection of hyperpolarised [1-13C]pyruvate. Results: Spirals exhibit better SNR while EPI shows more image features, pointing to better spatial resolution. Impact: 13C metabolic imaging provides valuable clinical information, such as tumour-treatment response, and may complement or provide an alternative to PET. For clinical studies, it is important to choose the optimal sequence.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 77%
Advanced NMR Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On The Optimal Readout Trajectory for Hyperpolarised 13C Metabolic Imaging — Rolf F. Schulte, Peder E. Z. Larson, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS