Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
331-02-011 / 331-02-011 ISMRM Abstract

Augmentrum: A Data Augmentation Package for MR Spectroscopy

Primary: Contrast Mechanisms - Spectroscopy
Secondary: Analysis Methods - Software Tools
331-02-011 · AI Frontiers in Image Analysis · Monday, 11 May, 1:50 PM–3:06 PM · Roof Terrace
331-02-011 · AI Frontiers in Image Analysis · Monday, 11 May, 1:50 PM–3:06 PM · Roof Terrace
Keywords: Analysis/Processing Modelling Software Tools MR Spectroscopy (MRS) Synthetic Data Generation
Accepted
John T LaMaster1, Julian P Merkofer2, Kay C Igwe 3
1Munich Institute of Biomedical Engineering, Technical University of Munich (TUM), Munich, Germany
2Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
3Department of Biomedical Engineering, Columbia University, New York, United States of America
Presenting Author: Kay C Igwe

Synopsis

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References

1. van de Sande DMJ, Merkofer JP, Amirrajab S, et al. A review of machine learning applications for the proton MR spectroscopy workflow. Magn Reson Med. 2023;90(4):1253-1270. doi:10.1002/mrm.29793 [doi]
2. LaMaster J, Oeltzschner G, Li Y. MRS‐Sim: Open‐Source Framework for Simulating In Vivo‐Like Magnetic Resonance Spectra. NMR Biomed. 2025;38(10):e70130. doi:10.1002/nbm.70130 [doi]
3. Landheer K, Treacy M, Instrella R, et al. synMARSS—An End‐To‐End Platform for the Parametric Generation of Synthetic In Vivo Magnetic Resonance Spectra. NMR Biomed. 2025;38(3):e70013. doi:10.1002/nbm.70013 [doi]
4. van de Sande DMJ, Gudmundson AT, Murali-Manohar S, et al. A Digital Phantom for MR Spectroscopy Data Simulation. Magn Reson Med. Published online October 16, 2025. doi:10.1002/mrm.70138 [doi]
5. Clarke WT, Bell TK, Emir UE, et al. NIfTI‐MRS : A standard data format for magnetic resonance spectroscopy. Magn Reson Med. 2022;88(6):2358-2370. doi:10.1002/mrm.29418 [doi]
6. Fabian Z, Heckel R, Soltanolkotabi M. Data augmentation for deep learning based accelerated MRI reconstruction with limited data. 2021. doi:10.48550/ARXIV.2106.14947 [doi]
7. Igwe K, Landheer K, Gajdošík M, Juchem C. Constrained optimized water suppression for 1H MRS of Metabolites and Macromolecules in 3 brain regions at 3T using sLASER. 2025. doi:10.18112/OPENNEURO.DS006812.V1.0.1 [doi]
8. Igwe KC, Gajdošík M, Juchem C, Landheer K. Constrained optimized water suppression for 1 H MR spectroscopy. Magn Reson Med. 2025;94(3):895-904. doi:10.1002/mrm.30550 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/331-02-011