Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
563-06-009 ISMRM Abstract

Comparison of Metabolite Estimation Approaches with MRSI at 7T

Accepted
Ahmet Azgın 1,2, Barbara Dymerska3,4, Martina Callaghan4,5, Philipp Lazen2,6, Sagar Acharya2,6, Sara Huskic2,6, Haniye Shayeste1,7, Simon Robinson1,8, Lukas Hingerl9, Bernhard Strasser9,10, Juliane Hennenberg1, Matthias Preusser11, Thomas Roetzer-Pejrimovsky1,12, Wolfgang Bogner6,13,14, Karl Rössler2,15, Georg Widhalm1,2, Gilbert Hangel2,6,13
1Medical University of Vienna, Vienna, Austria
2Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
3The Functional Imaging Laboratory, Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
4Functional Imaging Laboratory, Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
5Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
6Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
7MRCE, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
8Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Medical University of Vienna, Vienna, Austria
9High Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
10Department of Radiology, MR Center of Excellence, Medical University of Vienna, Vienna, Austria
11Division of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria
12Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
13Christian Doppler Laboratory for MR Imaging Biomarkers (BIOMAK), Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
14Comprehensive Centre for AI in Medicine (CAIM), Medical University of Vienna, Vienna, Austria
15Christian Doppler Laboratory for MR Imaging Biomarkers, Vienna, Austria
Presenting Author: Ahmet Azgın

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. Hingerl L, Strasser B, Moser P, Hangel G, Motyka S, Heckova E, Gruber S, Trattnig S, Bogner W. Clinical High-Resolution 3D-MR Spectroscopic Imaging of the Human Brain at 7 T. Invest Radiol. 2020 Apr;55(4):239-248. doi: 10.1097/RLI.0000000000000626. PMID: 31855587. [doi] [pmid]
2. Gasparovic C, Song T, Devier D, Bockholt HJ, Caprihan A, Mullins PG, Posse S, Jung RE, Morrison LA. Use of tissue water as a concentration reference for proton spectroscopic imaging. Magn Reson Med. 2006;55:1219-1226. doi: 10.1002/mrm.20901. [doi]
3. Harris, A.D., Puts, N.A.J. and Edden, R.A.E. (2015), Tissue correction for GABA-edited MRS: Considerations of voxel composition, tissue segmentation, and tissue relaxations. J. Magn. Reson. Imaging, 42: 1431-1440. https://doi.org/10.1002/jmri.24903 [doi]
4. Jansen JF, Backes WH, Nicolay K, Kooi ME. 1H MR spectroscopy of the brain: absolute quantification of metabolites. Radiology. 2006 Aug;240(2):318-32. doi: 10.1148/radiol.2402050314. PMID: 16864664. [doi] [pmid]
5. Mezer A, Rokem A, Berman S, Hastie T, Wandell BA. Evaluating quantitative proton-density-mapping methods. Hum Brain Mapp. 2016 Oct;37(10):3623-35. doi: 10.1002/hbm.23264. Epub 2016 Jun 6. PMID: 27273015; PMCID: PMC6204063. [doi] [pmid]
6. Cortical parcellation. CorticalParcellation - Free Surfer Wiki. (n.d.). https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation
7. Maudsley, A. A., Domenig, C., Govind, V., Darkazanli, A., Studholme, C., Arheart, K., & Bloomer, C. (2009). Mapping of brain metabolite distributions by volumetric proton MR spectroscopic imaging (MRSI). Magnetic resonance in medicine, 61(3), 548–559. https://doi.org/10.1002/mrm.21875 [doi]
8. Alger JR, Symko SC, Bizzi A, Posse S, DesPres DJ, Armstrong MR. Absolute quantitation of short TE brain 1H-MR spectra and spectroscopic imaging data. J Comput Assist Tomogr. 1993 Mar-Apr;17(2):191-9. doi: 10.1097/00004728-199303000-00006. PMID: 8454744. [doi] [pmid]
9. Gasparovic, C., Neeb, H., Feis, D. L., Damaraju, E., Chen, H., Doty, M. J., South, D. M., Mullins, P. G., Bockholt, H. J., & Shah, N. J. (2009). Quantitative spectroscopic imaging with in situ measurements of tissue water T1, T2, and density. Magnetic resonance in medicine, 62(3), 583–590. https://doi.org/10.1002/mrm.22060 [doi]
10. Tabelow K, Balteau E, Ashburner J, Callaghan MF, Draganski B, Helms G, Kherif F, Leutritz T, Lutti A, Phillips C, Reimer E, Ruthotto L, Seif M, Weiskopf N, Ziegler G, Mohammadi S. hMRI - A toolbox for quantitative MRI in neuroscience and clinical research. Neuroimage. 2019 Jul 1;194:191-210. doi: 10.1016/j.neuroimage.2019.01.029. Epub 2019 Jan 21. PMID: 30677501; PMCID: PMC6547054. [doi] [pmid]
11. Thomas DC, Alcicek S, Manzhurtsev A, Hattingen E, Wenger KJ, Pilatus U. Absolute quantification of cerebral metabolites using 2D ¹H-MRSI with quantitative MRI-based water reference. bioRxiv. Preprint posted online November 25, 2024. doi: 10.1101/2024.11.25.625224 [doi]
12. Baboli, M., Wang, F., Dong, Z., Dietrich, J., Uhlmann, E. J., Batchelor, T. T., Cahill, D. P., & Andronesi, O. C. (2024). Absolute Metabolite Quantification in Individuals with Glioma and Healthy Individuals Using Whole-Brain Three-dimensional MR Spectroscopic and Echo-planar Time-resolved Imaging. Radiology, 312(3), e232401. https://doi.org/10.1148/radiol.232401 [doi]

Cite this abstract