Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
666-01-013 ISMRM Abstract

Dynamic Pyruvate-Lactate Exchange Simulation using Arbitrary Phase Encoding Schemes and Sliding-Window Reconstruction

Primary: Contrast Mechanisms - Hyperpolarized MR (Non-Gas)
Secondary: Acquisition & Reconstruction - Subsampling: Parallel imaging, compressed sensing and low-rank modeling
666-01-013 · Hyperpolarization: Novel Methods · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row G
Keywords: Simulations 13C
Accepted
Pia Gebhard1, Tobias Speidel1, Fabian Bschorr 1, Julian Schüle1, Volker Rasche1,2
1Internal Medicine II, Ulm University, Medical Center, Ulm, Germany
2Core Facility for Small Animal Imaging, Medical Faculty, Ulm University, Ulm, Germany
Presenting Author: Fabian Bschorr

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. P. Wodtke, M. Grashei, and F. Schilling, “Quo Vadis Hyperpolarized 13C MRI?” Zeitschrift für Medizinische Physik, 35(1): 8-32. DOI: 10.1016/j.zemedi.2023.10.004 (2025) [doi]
2. BART Toolbox for Computational Magnetic Resonance Imaging. DOI: 10.5281/zenodo.592960 [doi]
3. P. Gebhard, T. Speidel, F. Bschorr, J. Schüle, and V. Rasche, „Density optimization of low-discrepancy k-space trajectories for accelerated 2D single-point imaging.” Proc. Intl. Soc. Mag. Reson. Med. 33 #1835 DOI: 10.58530/2025/1835 (2025) [doi]
4. T. Speidel, J. Paul, S. Wundrak et al. “Quasi-Random Single-Point Imaging using Low-Discrepancy k-Space Sampling.” IEEE Transactions on Medical Imaging, PP:1–1. DOI: 10.1109/TMI.2017.2760919 (2017). [doi]
5. S. Wundrak, J. Paul, J. Ulrici, E. Hell and V. Rasche, "A Small Surrogate for the Golden Angle in Time-Resolved Radial MRI Based on Generalized Fibonacci Sequences." IEEE Transactions on Medical Imaging, 34(6): 1262-1269. DOI: 10.1109/TMI.2014.2382572 (2015) [doi]
6. H. Y. Chen, et al. “Pulse sequence considerations for quantification of pyruvate-to-lactate conversion kPL in hyperpolarized 13 C imaging.” NMR Biomed. 32(3): 4052. DOI: 10.1002/nbm.4052 (2019) [doi]
7. R. E. Hurd, Y. F. Yen, J. Tropp, A. Pfefferbaum, D. M. Spielman, D. Mayer. „Cerebral dynamics and metabolism of hyperpolarized [1-(13)C]pyruvate using time-resolved MR spectroscopic imaging.” J Cereb Blood Flow Metab. 30(10):1734-41. DOI: 10.1038/jcbfm.2010.93 (2010) [doi]
8. H. Y. Chen, R. Aggarwal, R. A. Bok et al. „Hyperpolarized 13C-pyruvate MRI detects real-time metabolic flux in prostate cancer metastases to bone and liver: a clinical feasibility study.” Prostate Cancer Prostatic Dis 23:269–276. DOI: 10.1038/s41391-019-0180-z (2020) [doi]
9. M. Seeger, H. Nickisch., R. Pohmann, and B. Schölkopf. “Optimization of k-space trajectories for compressed sensing by Bayesian experimental design.” Magn. Reson. Med., 63: 116-126. DOI: 10.1002/mrm.22180 (2010) [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/666-01-013