Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Spectroscopy: Acquisition and Reconstruction

Spectroscopy: Acquisition and Reconstruction

Digital Poster

Acquisition & Reconstruction

Wednesday, 13 May 2026

Digital Posters Row J

14:35 - 15:30

Session Number: 569-04

No CME/CE Credit

Similar Sessions

Acquisition and Reconstruction: spectroscopy and spectroscopic imaging

		569-04-001. Accelerated Bloch-Siegert B1+ mapping using concentric ring sampling for 31P MRS in the muscle and liver at 7T Alice Conner, Aaron Axford, Ferenc Mozes, Jabrane Karkouri, Fabian Niess, Chris Rodgers, Wolfgang Bogner, Damian Tyler, Ladislav Valkovič Oxford Centre for Clinical MR Research (OCMR), University of Oxford, Oxford, United Kingdom Impact: 3D-CRT 7T ³¹P B₁⁺ mapping covers a 300x300x200mm volume in the liver at 25mm resolution in 3D within 10 minutes. This is a key step towards 3D-resolved saturation transfer measurements, and the quantification of phosphorus metabolites in large organs.
		569-04-002. Multi-shot 2D Selective Excitation for Extracranial Lipid Suppression in MR Spectroscopic Imaging of the Brain Jason Rock, Yuliang Xiao, Emile Kadalie, Christabel Faylinn, Tim Zhe Wu, Mark Chiew, Simon Graham, Jamie Near University of Toronto, Toronto, Canada Impact: Achieving full brain coverage MRSI without lipid contamination is valuable for the adaptation of MRSI in clinical procedures. Our method of two-dimensional selective excitation allows for greatly reduced lipid contamination in MRSI without the need for post processing lipid removal.
		569-04-003. Accelerated J-Resolved Metabolite-Cycled Spectroscopic Imaging Using Rosette k-Space Trajectory (ROS-JRESI-MC): A Pilot Study Ajin Joy, uzay emir, Aichi Chien, Paul Macey, Michael Thomas David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States of America Impact: The sequence enabled full 4D MC-JRESI acquisition in under 10 minutes, nearly twice as fast as conventional methods, with comparable spectral quality. In vivo results showed multi-voxel metabolite quantification in a 61-year-old volunteer.
		569-04-004. First implementation of preclinical ¹H-FID-MRSI with Concentric Ring Trajectory for rodent brain metabolic mapping at 9.4T Thanh Phong Lê, Brayan Alves, Bernhard Strasser, Wolfgang Bogner, Tan Toi Phan, Bernard Lanz, Cristina Cudalbu CIBM Center for Biomedical Imaging, Lausanne, Switzerland Impact: CRT-FID-MRSI was successfully implemented on a preclinical scanner and tested in vivo, yielding similar metabolic maps as PE-FID-MRSI. The spectral-spatial encoding scheme will improve the acquisition efficiency and facilitate the acquisition of high-resolution 2D/3D-MRSI in the rodent brain.
		569-04-005. Optimized B0 and B1-Insensitive Water Suppression for Rapid Whole-Slice Rosette MRSI Acquisition in the Brain Christabel Faylinn, Emile Kadalie, Tim Zhe Wu, Kamil Uludag, Jamie Near University of Toronto, Toronto, Canada Impact: The water signal must be effectively suppressed for accurate MRSI metabolite quantification. Our proposed 5-pulse water suppression scheme is robust to brain-wide B₀ and B₁ inhomogeneities while permitting short TRs for rapid MRSI acquisition.
		569-04-006. Tissue-Specific Neurochemical Profiling of White and Gray Matter in the Human Brain at 5T Using Short-TE STEAM MRS Haoying Wu, Hongxia Lei, Zhihua Ren ShanghaiTech University, Shanghai, China Impact: This study demonstrates that $5~T$ STEAM $^1H$-MRS enables robust, tissue-specific metabolite quantification with enhanced spectral quality and reproducibility, establishing a practical framework for high-field neurochemical mapping and future clinical translation.
		569-04-007. Enhancing Reliability in Deep Learning Metabolite Quantification: Evaluating Uncertainty Estimation Approaches Sara Zatezalo, Ludovica Romanin, Sébastien Courvoisier, Gian Franco Piredda, Tom Hilbert, Thomas Yu, Antoine Klauser Siemens Healthineers International AG, Lausanne, Switzerland Impact: This work advances MRSI quantification by systematically comparing deep learning-based uncertainty estimation methods, highlighting their performance and calibration limits, and paving the way for more trustworthy and clinically applicable metabolite quantification by artificial intelligence.
		569-04-008. ABSOLUTE QUANTIFICATION OF CARDIAC ENERGETICS IN HEART FAILURE PATIENTS USING 31P MRS AT 3T Mtendere Manase, Aaron Axford, Oliver Rider, Jennifer Holland, Ladislav Valkovič University of Oxford, Oxford, United Kingdom Impact: Integration of this method into clinical workflow could improve the accuracy of cardiac metabolic measurements and support the development of targeted therapies for improved patient outcomes.
		569-04-009. Streamlined whole-brain spectroscopic imaging using SLOW-EPSI at 7T: a spectroscopist-free solution for the clinic Guodong Weng, Piotr Radojewski, Didi Chi, Chao Ma, Johannes Slotboom Inselspital, University of Bern, Switzerland Impact: Enables fast, spectroscopist-free whole-brain MRSI at 7T—Cho/Cr/Glx maps at 4.3-mm in 5:30. Reconstruction and post-processing can, in principle, run online on the scanner like a product sequence, requiring no advanced algorithms.
		569-04-010. Deep Learning–Based Reconstruction: Model Comparison for Variable-Density GRAPPA 1H MRSI Xinyu Zhang, Mahrshi Jani, Andrew Wright, Kimberly Chan, Anke Henning Advanced Imaging Center/UTSW, United States of America Impact: This study demonstrates that deep learning–based reconstruction methods can substantially accelerate proton MRSI acquisitions. By accurately recovering missing k-space data, the proposed AI models enable up to 4-fold faster scans—reducing a typical 10-minute acquisition to 3 minutes (R = 4).
		569-04-011. Measuring brain metabolite diffusion parameters using DW-MRS: A preliminary study on 5T Zepeng Wang, Aiguo Xue, Yanning Liu, Qi Liu United Imaging Healthcare North America, Houston, United States of America Impact: The proposed DW-MRS study shows the feasibility of measuring brain metabolite diffusion parameters on a whole-body 5T system. The success of the proposed method demonstrates the potential of investigating brain microstructure changes under different pathophysiological conditions on clinical high-field systems.
		569-04-012. Improved Single-Voxel Short-Echo 1H MR Spectroscopy (SVS) of Human Brain on a Clinical 5T MR Platform Guan Wang, Haoying Wu, Zhihua Ren, Hongxia Lei Wuhan United Imaging Life Science Instrument Co., Ltd, Wuhan, China Impact: High quality of short-echo spectroscopy on a clinical 5T platform is crucial for routine clinical usages. The applied outer-volume-suppression together with the adjustable WET allow acquiring spectra of both human gray-matter and white-matter rich regions with substantial improvements.
		569-04-013. Comparison of pulse sequences for downfield MR spectroscopic imaging in the human brain at 7T İpek Özdemir, David Unobskey, Adrian Paez, Moyoko Tomiyasu, Joseph Gillen, Sandeep Ganji, Roland Kreis, Peter Barker Johns Hopkins University School of Medicine, Baltimore, United States of America Impact: This study suggests that optimized excitation and refocusing schemes can enhance the robustness of downfield MR spectroscopic imaging (DF-MRSI). These findings may help guide future sequence design for improved detection of amide and other downfield resonances in the human brain.
		569-04-014. A comparison of methods for high-resolution 31P B1 Mapping Isaac Watson, Derek Jones, Jurgen Schneider University of Leeds, Leeds, United Kingdom Impact: This work demonstrates that the phase sensitive B1 mapping is suitable for high-resolution B1 mapping of ³¹P on a pre-clinical high-field system. This is important for accurate quantification of ³¹P-metabolite signals.