Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Spectroscopy and Spectroscopic Imaging: Methods

Spectroscopy and Spectroscopic Imaging: Methods

Digital Poster

Contrast Mechanisms

Wednesday, 13 May 2026

Digital Posters Row J

16:00 - 16:55

Session Number: 569-05

No CME/CE Credit

Similar Sessions

This session highlights recent methodological advances in MR spectroscopy and spectroscopic imaging.

Skill Level: Advanced

		569-05-001. Simultaneous detection of GABA and Glycine using MEGA-PRESS with TE optimization at 3T Justin Singer, Kimberly Chan University of Texas Southwestern Medical Center, Dallas, United States of America Impact: The simultaneous measurement of GABA and glycine by ¹H-MRS grants a more comprehensive profile of inhibitory tone without the expense of additional scans or reduction in GABA+ data quality.
		569-05-002. Multi-center Validation of Plug'n Play 3D MRSI at 7 T Using an Online Reconstruction: A Song of ICE and FIRE Bernhard Strasser, Korbinian Eckstein, Lukas Hingerl, Aaron Osburg, Hauke Fischer, Paul Weiser, Ekaterina Sazonova, Antoine Klauser, Ovidiu Andronesi, Yan Li, Jing Liu, Amirmohammad Shamaei, Barbara Dymerska, Martina Callaghan, Zeinab Eftekhari, Thomas Shaw, Markus Barth, Stanislav Motyka, Gilbert Hangel, Wolfgang Bogner High-field MR Center, Vienna, Austria Impact: This work enables fast, automated, and standardized 3D MRSI online reconstruction and fitting directly on the scanner, drastically reducing processing time and data size while improving reproducibility across sites—paving the way for multi-center studies in MRSI.
		569-05-003. Comparing whole slice and localized brain rosette spectroscopic imaging at 3T Emile Kadalie, Chathura Kumaragamage, Michel Lauzon, Mervyn Singh, Milton Camacho, Filomeno Cortese, Vicente Enguix, Neta Bar Am, Sneha Senthil, Ashley Harris , Gregory Lodygensky, Jamie Near Sunnybrook Research Institute, Toronto, Canada Impact: This work demonstrates that whole-slice rosette MRSI with post-processing lipid removal can achieve spectral quality comparable to PRESS-localized acquisitions, enabling improved brain coverage without rectangular localization, and without compromising metabolite quantification.
		569-05-004. Whole-Brain Functional MRSI Using ECCENTRIC at 7T: Proof-of-Concept and Feasibility Francesca Saviola, Antoine Klauser, Dimitri Van De Ville École polytechnique fédérale de Lausanne - EPFL, Lausanne, Switzerland Impact: This study leverages a recently proposed 7T functional MRSI to enable unprecedented whole-brain neurochemical mapping during cognitive and perceptual tasks. This protocol overcomes spatial limitations of traditional single-voxel fMRS, potentially enhancing understanding of metabolic dynamics in health and disease.
		569-05-005. Quantitative 1H MRS in gray and white matter in the human brain with localized B1+ shimming at 11.7T Alfredo Lopez Kolkovsky, Franck Mauconduit, Vincent Gras, Aurélien Massire, Son Chu, Shajan Gunamony, Nicolas Boulant, Alexis Amadon, Fawzi Boumezbeur CEA NeuroSpin, Paris-Saclay University, CNRS, Gif-Sur-Yvette, France Impact: This study opens the way for quantitative single-voxel ¹H MRSin the human brain at 11.7T. The increased sensitivity and spectral resolution allow for short acquisition scans with elevated quantification accuracy.
		569-05-006. TriPeak optimal combination: A multichannel X-nuclear MRSI coil combination method providing optimal SNR and zero bias Jiying Dai, Dennis Klomp, Alexander Raaijmakers University Medical Center Utrecht, Utrecht, Netherlands Impact: The proposed TriPeak coil combination method enables bias-free, optimal-SNR reconstruction for X-nuclear MRSI, overcoming the limitations of traditional combinations. Its validated in silico and in vivo performance enhances spectral accuracy, improves quantitative reliability and advances metabolic imaging in low-sensitivity nuclei.
		569-05-007. Robust Coil Combination for Low-SNR X-Nuclear MRSI Rolf Schulte, Yang Fan, Chunsheng Wang, Feng Chen, Frank Riemer, Pierfrancesco Ambrosi, Paolo Cecchi, Michela Tosetti, Alixander Khan, Esben Hansen, Michael Væggemose, Christoffer Laustsen GE Healthcare, Munich, Germany Impact: In order to move X-nuclear MR into clinical routine, robust methods dealing with limited SNR are required. Multi-channel receive coils can improve spatial coverage and SNR, but require robust and fully-automatic coil combination methods for reproducible, high-SNR results.
		569-05-008. Absolute MR Thermometry for RF Safety Assessment Using Spectroscopy and Metabolite Cycling Mathijs Kikken, Koen Custers, Ettore Flavio Meliado, Cornelis van den Berg, Alexander Raaijmakers University Medical Center Utrecht, Utrecht, Netherlands Impact: A noninvasive MR spectroscopy–based approach is demonstrated for local absolute tissue temperature measurements, which could provide a more comprehensive understanding of RF-induced heating and serve as a biomarker for physiological and pathological conditions.
		569-05-009. SpectroA: A Multi-Sequence MRS Package for Comprehensive MR-Detectable Neurochemical Profiling Manoj Kumar Sarma, Saipavitra Murali-Manohar, Ioannis-Angelos Giapitzakis, Johanna Dorst, Bei Zhang, Anke Henning University of Texas Southwestern Medical Center, Dallas, United States of America Impact: The AIRC MRS sequence package enables high-quality, reproducible single-voxel ¹H and ³¹P spectroscopy with robust B₀ shimming, and optimized sequences, enhancing metabolic characterization, biomarker identification, personalized treatment, and translational research across clinical and research applications.
		569-05-010. Time-Domain Quantitative Decomposition of MRS FID Signals: Comparison of Hankel SVD and Pade Transform Methods Jian-xiong Wang The University of Alabama at Birmingham, Birmingham, United States of America Impact: Direct time-domain decomposition using Hankel SVD and Fast Padé Transform enables accurate quantification of weak metabolite peaks in hyperpolarized [2-¹³C]pyruvate MRS without phase correction, providing a major advance in quantitative metabolic spectroscopy with large dynamic range signals.
		569-05-011. Simultaneous mapping metabolite and water T1, T2, absolute concentration using fast MR spectroscopic fingerprinting imaging Shiyang You, Yi-Cheng Hsu, Yingchao Liu, Peng Zhao, Chenting Ye, Min Wang College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China Impact: MRSFI based on Csar-EPSI enables ultrafast simultaneous mapping of metabolite and water T₁, T₂ and absolute concentration, providing a new framework for multiparametric spectroscopic imaging with potential applications in detecting pathological metabolic alterations and functional dynamics in the brain.
		569-05-012. Can AI Assess MRS Data Quality from Single Transients? Shuyuan Wang, Aaron Gudmundson, Christopher Davies-Jenkins, Yulu Song, Georg Oeltzschner, Richard AE Edden Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: The network presented here demonstrates the potential for developing automated feedback, adaptive acquisition strategies, and more advanced AI (i.e., agents) in clinical settings. The proposed architecture is lightweight and opens possibilities for real-time monitoring.
		569-05-013. Generalization analysis of low-rank regularized fine-tuning-based deep learning for magnetic resonance spectroscopy denoising Jian Cao, Tianyu Qiu, Di Guo, Zhangren Tu, Yihui Huang, Chunyan Xiong, xianwang jiang, Xiaobo Qu Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China Impact: Leverage implicit regularization of DNNs for pre-training and theoretically grounded explicit regularization to enhance low-rank structure and generalization in fine-tuned models, reaching high-quality MRS denoising.
		569-05-014. A novel MRS fingerprinting approach to estimate concentrations and relaxation times of metabolites, macromolecules, and water Helge Zöllner, Zahra Shams, Julia Stabinska, Kimberly Chan, Assaf Tal, Georg Oeltzschner, Richard AE Edden, Peter Barker Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: A 10-minute MRSF experiment allows for fast and subject-specific estimation of metabolite, macromolecule, and water concentrations and relaxation times. This comprehensive biochemical profile is particularly interesting for applications in neurological diseases characterized by concurrent microenvironmental and metabolic changes.
		569-05-015. Deep Learning–based Denoising of Magnetic Resonance Spectroscopy using a Denoising Autoencoder Kou Kumagai, Hitoshi Kubo, Koshi Shigiyama, Urara Hirano, Takashi Iwanaga Fukushima Medical University, Fukushima, Japan Impact: DAE-based denoising enables reliable metabolite quantification from short-acquisition MRS, providing a foundation for dynamic metabolic imaging with clinically feasible temporal resolution.
		569-05-016. Suppression of macromolecule signal removes the association between GABA+ and age Tiffany Bell, Priya Chander, Ashley Harris University of Reading, Reading, United Kingdom Impact: Associations observed with GABA+ do not replicate when using macromolecule suppressed (MM-Sup) GABA measures, indicating macromolecules may drive these associations. Research using GABA+ measures needs to be mindful of macromolecule contamination when interpreting the data and temper conclusions accordingly.