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

Spectroscopy and Spectroscopic Imaging: Neuro I

Digital Poster

Contrast Mechanisms

Monday, 11 May 2026

Digital Posters Row C

14:45 - 15:40

Session Number: 362-04

No CME/CE Credit

Similar Sessions

This session focuses on quantitative MR spectroscopy (MRS) methods in the human brain, including metabolite measurement using semi-LASER, strategies for motion correction, and advanced processing techniques for robust and reproducible in-vivo brain metabolite quantification in research and clinical settings.

Skill Level: Intermediate

		362-04-001. Quantitative Measurements of Metabolite R₁ρ and R₂ρ Relaxations in the Human Brain at 3 Tesla Dinesh Deelchand, Silvia Mangia, Shalom Michaeli University of Minnesota, Minneapolis, United States of America Impact: Investigating R_1ρ and R_2ρ relaxation of metabolites to gain insight into their spin dynamics
		362-04-002. Cross-vendor implementation and comparison of a 2D sLASER-rosette sequence for MRSI of the human brain Emile Kadalie, Michel Lauzon, Chathura Kumaragamage, Mervyn Singh, Milton Camacho, Filomeno Cortese, Vicente Enguix, Neta Bar Am, Ashley Harris , Gregory Lodygensky, Jamie Near Sunnybrook Research Institute, Toronto, Canada Impact: This study demonstrates a cross-vendor implementation of a rosette sLASER MRSI sequence, achieving comparable metabolite quantification across Siemens and GE 3T systems - an essential step toward standardized, multi-site studies of brain metabolism using rapid non-Cartesian MRSI.
		362-04-003. Detection of Cystathionine, GABA, Glutamate, and Glutamine in the Healthy Human Hippocampus at 3T Justin Singer, Elena Ivleva, Kimberly Chan University of Texas Southwestern Medical Center, Dallas, United States of America Impact: This study utilized an optimized metabolite-cycling MEGA-editing scheme to achieve the non-invasive detection of Cyst, GABA, glutamate, and glutamine within the healthy human hippocampal subregions, which may serve as potential biomarkers for neurodegenerative and psychiatric disorders.
		362-04-004. Investigating Diurnal Changes in Metabolite Ratios in the Human Brain Using 7T MRSI Philipp Lazen, Sara Huskic, Ahmet Azgın, Sagar Acharya, Bernhard Strasser, Lukas Hingerl, Wolfgang Bogner, Gilbert Hangel, Karl Rössler Medical University of Vienna, Vienna, Austria Impact: This study provides baseline data on the variability of brain metabolites throughout the day, suggesting that diurnal effects are minor compared to regional and technical variability. It highlights the stability of 7T MRSI in frontal and parietal lobe.
		362-04-005. Quantifying Cerebral Lactate with MRS: Detecting Hypoxia-Linked Metabolic Alterations Atilla Gonenc, Eva-Maria Ratai, Eve Valera Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: Advanced MRS such as HERCULES addresses a critical neuroimaging gap across psychiatric, neurological, and metabolic disorders by overcoming conventional MRS limitations and enabling lactate quantification.
		362-04-006. Evidence-based denoising optimization for accurate GABA estimation by 14.1-tesla 13C-MRS Kelley Swanberg, Iben Lundgaard, Joao M.N. Duarte Lund University, Lund, Sweden Impact: Spectral denoising methods like apodization (AD), singular value decomposition (SVD), and wavelet transformation (WT) may improve spectral signal-to-noise ratio (SNR), but their effects on metabolite quantification error are often less certain, demanding validation against broad practical use cases.
		362-04-007. Real-Time Motion and B0 Correction in 3D ECCENTRIC MRSI with Deep Learning Reconstruction Nutandev Bikkamane Jayadev, Paul Weiser, Andre van der Kouwe, Robert Frost, Yulin Chang, Antoine Klauser, Ovidiu Andronesi Siemens Medical Solutions USA, Inc., Malvern, United States of America Impact: Integrating GRAPPA-accelerated vNavs with 3D ECCENTRIC MRSI stabilizes motion and B₀ in real time, preserving the spectral quality, while DeepER deep-learning reconstruction shortens computation, advancing high resolution whole brain metabolite imaging towards practical, efficient workflows.
		362-04-008. Algorithmic Determination of Early Scan Stopping for GABA-edited MRS Hanna Bugler, Roberto Souza, Ashley Harris University of Calgary, Calgary, Canada Impact: Shorter scan times improve participant compliance and reduce the likelihood of motion artifacts resulting in higher quality data for metabolite quantification. Retrospective analysis shows that GABA+-edited MRS scans can be reduced by ~50% on average without compromising quantification accuracy.
		362-04-009. Metabolomic profiling of Serum, Urine, and Saliva reveals differential metabolic changes in Parkinson’s Disease using NMR Sadhana Kumari, S Senthil Kumaran, Shivam Pandey, Roopa Rajan, Achal Srivastava All India Institute of Medical Sciences, New Delhi, India Impact: This study highlights non-invasive NMR metabolomics of serum, urine, and saliva as a promising tool to identify consistent metabolic fingerprints for Parkinson’s disease, enabling improved biomarker-based diagnosis and deeper mechanistic insights, independent of age of onset.
		362-04-010. Quantitative and multivariate discrimination of healthy and tumor metabolite profiles acquired with in vivo MR spectroscopy Rachel Goldberg, Candace Fleischer Emory University, Atlanta, United States of America Impact: Reference ranges of healthy brain metabolites at 7T were generated with bootstrapping. Clear differentiation between healthy ranges and glioma was evidenced by large Mahalanobis distances, demonstrating feasibility as a quantitative and multivariate metric to identify metabolic abnormality in glioma.
		362-04-011. Exploring neurometabolic changes associated with chronic fatigue in Inflammatory Bowel Disease at 7T 1H MRS – 7T-FIB study Lieke van Dongen, Jack van Asten, Evita Wiegers, Jannie Wijnen, Tom Scheenen, Marjolijn Duijvestein, Esther Aarts, Anja van der Kolk, Irene van Kalleveen Radboud University Medical Center, Nijmegen, Netherlands Impact: This study will provide new insights in the underlying neurometabolic changes associated with chronic fatigue in quiescent IBD-patients, allowing for more targeted treatment. It could also provide new insights for chronically fatigued patients diagnosed with other underlying medical conditions.
		362-04-012. Optimizing brain 31P-MRS at 3T: A comparison of single-voxel localization methods Alex Ensworth, Erin MacMillan, Cornelia Laule University of British Columbia, Vancouver, Canada Impact: Identifying the most reliable single-voxel ³¹P-MRS localization at 3T will help guide brain protocol standardization, improve spectral quality and motion robustness, and accelerate clinical and translational studies of cerebral energetics and membrane turnover.
		362-04-013. Chronic and Acute Phenylalanine Exposure in Adults with Phenylketonuria: An In Vivo ¹H-MRS Study Raphaela Muri, Maike Hoefemann, Vanessa Vallesi, Laura Winiger, Karin Zwygart, Roman Trepp, Regula Everts, Roland Kreis Inselspital, University of Bern, Switzerland Impact: This study demonstrates widespread cerebral metabolic alterations in adults with Phenylketonuria beyond phenylalanine (Phe) accumulation. Short-term Phe elevation alters glial osmolyte markers without relating to cognition. Findings confirm strong blood–brain Phe coupling highlighting ongoing cerebral susceptibility in treated PKU.
		362-04-014. Towards a Foundation Model for Magnetic Resonance Spectroscopy Wesna Simone Bulla de Araujo, Hanna Bugler, Ashley Harris , Roberto Souza, Letícia Rittner University of Campinas, Campinas, Brazil Impact: The foundation model decreases the need for large datasets in new MRS tasks, as core knowledge is already learned during pre-training. This facilitates broader research and supports clinical translation of MRS, since small datasets are commonly available in this field.
		362-04-015. Subjective Well-Being and Anterior Cingulate Cortex Metabolites in Young Adults: A ¹H-MRS Study LingYang Zeng, Wei Su, Qianwen Zhang, Jiaxiang xin, Xuan Li, Zhengqi Zhu, Kaihua Zhang Shandong Normal University, Jinan, China Impact: Increased NAA in the ACC may indicate low subjective well-being in young adults, while gender-related variations in Glu and Glx underscore the contribution of excitatory neurotransmission to everyday affective differences.
		362-04-016. Quantification of lactate, glutathione, and GABA in metastatic lesions with MEGA-sLASER at 3 Tesla. Andrei Manzhurtsev, Svenja Klinsing, Seyma Alcicek, Dennis Thomas, Anna-Luisa Luger, Ulrich Pilatus, Katharina Weber, Joachim Steinbach, Elke Hattingen, Pia Zeiner, Katharina Wenger Goethe University, University Hospital Frankfurt, Institute of Neuroradiology and Cooperative Brain Imaging Center - CoBIC, Frankfurt am Main, Germany Impact: MEGA-sLASER combined with qMRI enables accurate lactate, GABA, and GSH quantification in brain metastasis. The results indicate that Lac alterations in metastasis tissue have a distinct origin from the lactate invasively measured in CSF. Metastasis GABA and GSH are decreased.