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

Spectroscopy and Spectroscopic Imaging

Oral

Acquisition & Reconstruction

Thursday, 14 May 2026

Hall 1A

16:00 - 17:50

Moderators: Stefan Posse & Yasmin Blunck

Session Number: 601-03

No CME/CE Credit

Similar Sessions

Reconstruction and acquisition methods for MR Spectroscopy.

Skill Level: Advanced

16:00		601-03-001. MR Spectroscopy without Water Suppression using the Gradient Impulse Response Function James Bacon, Peter Jezzard, William Clarke Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom Impact: Non-water suppressed Single Voxel Spectroscopy (SVS) is achieved by predicting eddy-current-induced sidebands on the water peak using the Gradient Impulse Response Function (GIRF) and removing them in post-processing. The method is generalisable to any SVS sequence, protocol, and position.
16:11		601-03-002. Methylmalonic acid: a new target for Hadamard-edited MRS Yulu Song, Tao Gong, Zahra Shams, xiaoya sun, Christopher Davies-Jenkins, Shuyuan Wang, Gizeaddis Simegn, Saipavitra Murali-Manohar, Abdelrahman Gad, Georg Oeltzschner, guangbin wang, Richard AE Edden Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: Spectral overlap and the structural similarity of Lactate (Lac) and Methylmalonic acid (MMA) make their separation using 3T MRS challenging. The ability to separate them would greatly enhance diagnostic accuracy and improve monitoring of the treatment of methylmalonic acidemia (MMAemia).
16:22		601-03-003. Accelerated Diffusion Weighted CSI for Metabolite-Specific ADC Mapping Simone van der Schot, Evita Wiegers, Itamar Ronen, Jaco Zwanenburg, Matthias van Osch, Chloe Najac Leiden University Medical Center, Leiden, Netherlands Impact: We implemented a single-shot tetrahedral isotropic diffusion weighting scheme for 2D diffusion-weighted CSI, significantly shortening acquisition times and thus allowing for fast higher resolution tissue characterization.
16:33		601-03-004. High-Resolution Cerebellar MRSI with B0-Insensitive Prospective Motion and Shim Correction Young Woo Park, Dinesh Deelchand, Pierre-Gilles Henry University of Minnesota, CMRR, United States of America Impact: Acquire high-resolution, high-quality metabolic imaging of the human cerebellum.
16:44		601-03-005. Diffusion-regularized gradient scheme optimization for PRESS-localized edited MRS using weighted pathway suppression Gizeaddis Simegn, Zahra Shams, Yulu Song, Abdelrahman Gad, Saipavitra Murali-Manohar, Dunja Simicic, Christopher Davies-Jenkins, Vivek Yedavalli, Aaron Gudmundson, Helge Zoellner, Georg Oeltzschner, Richard AE Edden Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: Our diffusion-regularized gradient scheme optimization for PRESS-localized edited MRS suppresses OOV artifacts while preserving signal integrity, enabling more robust spectral editing and reliable metabolite quantification
16:55		601-03-006. A High-Resolution Deuterium Metabolic Imaging and Unsupervised Clustering Framework for Unraveling Intratumoral Heterogeneity Xinjie Liu, Shasha Wang, Elton Montrazi, Lucio Frydman, Xin Zhou, Maili Liu, Chaoyang Liu, Qingjia Bao Innovation Academy for Precision Measurement Science and Technology,CAS, Wuhan, China Impact: This study introduces a noninvasive imaging framework that combines high spatiotemporal resolution with unsupervised clustering of high-dimensional dynamic metabolic data, enabling the in vivo detection and classification of intratumoral heterogeneity.
17:06		601-03-007. Whole-brain GABA and Glx mapping using SLOW and joint LTSA reconstruction at 3T Guodong Weng, Didi Chi, Paul Han, Johannes Slotboom, Chao Ma Inselspital, University of Bern, Switzerland Impact: The proposed method enables mapping of low-concentration neurotransmitters (GABA and Glx) in the human brain on a standard 3T MR scanner, providing a practical tool for whole-brain quantification and mapping.
17:17		601-03-008. Comprehensive Online Reconstruction and Tissue-Corrected Metabolite Quantification for Advanced Single Voxel Spectroscopy Peter Truong, Lumeng Cui, Kelvin Chow, Jamie Near Sunnybrook Research Institute, Toronto, Canada Impact: In this work, we present a fully online and comprehensive spectroscopy pipeline for the acquisition, processing, and tissue-corrected metabolite quantification of localized MEGA-PRESS and SPECIAL MRS acquisitions, performed entirely on the scanner using the Siemens FIRE prototype.
17:28		601-03-009. Development and Validation of Self-Supervised Deep Learning-Based Spectral-Temporal Fitting of Dynamic 2H-MRSI Data at 7T Aaron Osburg, Amirmohammad Shamaei, Bernhard Strasser, Fabian Niess, Anna Duguid, Viola Bader, Sabina Frese, Lukas Hingerl, Hauke Fischer, Ivan Petrovic, William Clarke, Georg Langs, Wolfgang Bogner, Stanislav Motyka Medical University of Vienna, Vienna, Austria Impact: A deep autoencoder for spectral-temporal fitting achieved competitive quantification of in vivo and synthetic 7T dynamic ²H-MRSI data versus established fitting methods, while reducing processing time and providing dynamic parameter estimates, representing an intermediate step toward DL-based metabolic rate estimation.
17:39		601-03-010. Joint Trajectory and Lipid Removal optimisation for Magnetic Resonance Spectroscopic Imaging Reconstruction Simon Finney, William Clarke Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom Impact: We implement joint optimisation of the MRSI trajectory and lipid removal network to model lipid contamination as a coupled trajectory-reconstruction effect. This maximises SNR, minimises lipid contamination, and establishes a framework for co-optimising acquisition and reconstruction in MRSI.