ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Peak to Peak: MR Spectroscopy

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Peak to Peak: MR Spectroscopy
Digital Poster
Contrast Mechanisms
Tuesday, 13 May 2025
Exhibition Hall
15:45 -  16:45
Session Number: D-91
No CME/CE Credit

 
Computer Number: 65
2930. Retrospective lipid removal in preclinical 1H-FID MRSI at ultra-high field and potential effects on metabolite concentration estimates
T. T. Phan, B. Alves, T. P. Lê, A. Klauser, B. Lanz, C. Cudalbu
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Impact: Our work is evaluating the retrospective lipid suppression on metabolite estimates at 14.1T in the rat brain for 1H-FID-MRSI. When using low lipid contaminated data, an effect on concentration estimates was observed, highlighting the need for future investigations.
 
Computer Number: 66
2931. Phosphocreatine recovery kinetics as a biomarker to assess therapies targeting mitochondrial function
M. Sammi, J. Purnell, C. Butler, E. Baetscher, K. Powers, J. Mock, S. Ghosh, A. Kalmes, W. Rooney
Oregon Health & Science University, Portland, United States
Impact: The acute effect on mitochondrial function by RNS60 requires further studies to investigate possible mechanisms of action.  kPCr, a non-invasive and quantitative measure, can be applied as a biomarker in other therapies targeting mitochondrial function.
 
Computer Number: 67
2932. Brain Atlas of Macromolecular Spectroscopic Signals from Ultrashort-TE MRSI
Y. Zhao, Y. Li, W. Jin, R. Guo, Y. Li, J. Luo, Z-P Liang
University of Illinois at Urbana-Champaign, Champaign, United States
Impact: The proposed method may lead to more accurate modelling of macromolecule signals, thus improving the quantification of metabolites in short-TE MRSI.
 
Computer Number: 68
2933. Improving Temporal Resolution in fMRS: Assessing Reduced Phase Cycling in semi-LASER MRS
A. Ensworth, J. Kramer, E. MacMillan, C. Laule
The University of British Columbia, Vancouver, Canada
Impact:

This study demonstrates the impact of reducing phase cycles in MRS and provides guidance on how to reduce phase cycles to enhance temporal resolution and improve the feasibility of fMRS in clinical and research settings.

 
Computer Number: 69
2934. A Digital Phantom for 3D MR Spectroscopy Data Simulation
D. van de Sande, A. Gudmundson, C. Davies-Jenkins, D. Simicic, G. Simegn, I. Özdemir, S. Amirrajab, J. Merkofer, H. Zöllner, G. Oeltzschner, R. Edden
Eindhoven University of Technology, Eindhoven, Netherlands
Impact: This MRS phantom framework provides a flexible, tissue-specific model for realistic MRS and MRSI dataset simulation. Its modular design allows for precise control over the parameters and the simulation process to support a wide range of research and development applications.
 
Computer Number: 70
2935. Repeatability of 13C-MRS for absolute glycogen content quantification in the human liver and skeletal muscle at 7T
P. Veeraiah, C. Fuchs, R. Voncken, K. Brouwers, J. Hurk, J. Wildberger, P. Thelwall, J. Prompers, L. Loon
Scannexus (Ultra-High Field MRI Center), Maastricht, Netherlands
Impact: 13C-MRS at 7T showed good repeatability for absolute glycogen quantification in human liver and muscle, which is promising for its clinical applicability to measure intervention/disease related changes in glycogen content. 
 
Computer Number: 71
2936. Phosphorylated metabolite T1 relaxation times measured in the macaque brain using 31P MRS at 11.7T
A. Lopez Kolkovsky, M. Gay, M. Roustan, T. Lilin Froment, A. Amadon, F. Mauconduit, F. Boumezbeur
CEA, Gif-sur-Yvette, France
Impact: Knowledge of the T1 relaxation times will play a key role in 31P metabolite quantification and in determining the optimal acquisition parameters for 31P MRSI measurements in the macaque brain at 11.7T.
 
Computer Number: 72
2937. The Differences in Macromolecular Binding Between Sodium and Potassium Ions
Y. Chen, Y. Yin, J. Xia, H. Li, X. Kong
Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
Impact: The analysis of ion interactions with macromolecules may help explain the distinct functions of sodium and potassium ions in biological systems.
 
Computer Number: 73
2938. First implementation of fast 1H 3D-FID-MRSI on the rodent brain at 9.4T for metabolite mapping
B. Alves, T. Lê, B. Strasser, W. Bogner, B. Lanz, C. Cudalbu
Centre d'Imagerie Biomedical - CIBM, Lausanne, Switzerland
Impact: 3D and multislice 1H-FID-MRSI can offer greater insight in the rat brain metabolism, enabling finer description of neurodegenerative diseases within preclinical models, such as the bile duct ligation rat model for hepatic encephalopathy.
 
Computer Number: 74
2939. Investigation of exercise-induced skeletal muscle energy metabolism in patients with cirrhosis using dynamic 31P-MRS on a clinical MRI system
J. Kwon, K. Ozaki, Y. Katsumata, S. Funayama, S. Ichikawa, M. Cauteren, S. Goshima
Philips Japan, Tokyo, Japan
Impact:

Metabolic parameters derived from dynamic 31P−MRS in clinical setting showed a different trend in patients with cirrhosis compared to those of healthy volunteers. It may be possible to early identify cirrhotic patients at risk of developing sarcopenia.

 
Computer Number: 75
2940. A dual density rosette trajectory for rapid MRSI of the brain with a simultaneously acquired high-resolution anatomical reference
E. Kadalie, L. Burki, K. Hara-Lee, J. Near
Sunnybrook Research Institute, Toronto, Canada
Impact: A novel acquisition method was developed to simultaneously collect MRSI data and high-resolution spatial priors to suppress spectral lipid contamination. This technique thus has the potential to become a robust clinical tool for studying metabolic changes in the brain. 
 
Computer Number: 76
2941. Denoising MRSI Data Using Atlas-Based Statistical Subspaces
W. Jin, Y. Zhao, Y. Li, R. Guo, Y. Zhang, Z. Xu, J. Luo, Y. Li, Z-P Liang
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
Impact: This proposed method significantly improved the sensitivity of brain MRSI using atlas-based statistical subspaces. The method may further enhance the reliability and practical utility of high-resolution MRSI techniques.
 
Computer Number: 77
2942. MRS fingerprinting combined with multi-dimensional linear-combination modeling for fast and accurate multi-metabolite relaxometry.
H. Zöllner, C. Davies-Jenkins, D. Simicic, J. Stabinska, G. Oeltzschner, R. Edden, P. Barker
The Johns Hopkins University School of Medicine, Baltimore, United States
Impact: MRSF combined with linear-combinaiton modeling enables accurate cohort-mean relaxation time estimation for five metabolites suitable for quantification in large studies, while conventional MRSF (using simple peak integration) may better detect small subject-specific changes in singlet relaxation times.
 
Computer Number: 78
2943. Probabilistic Atlas-Based Image Reconstruction for Ultrafast MR Spectroscopic Imaging
Y. Li, Y. Zhao, W. Jin, R. Guo, S. Luo, Y. Li, V. Kindratenko, M. Anastasio, B. Sutton, Z-P Liang
University of Illinois at Urbana-Champaign, Urbana, United States
Impact: With the capability to reduce imaging dimensionality and improve SNR, the proposed method can further accelerate MRSI scans, making high-speed high-resolution MRSI possible for practical applications.
 
Computer Number: 79
2944. Evaluating real-world performance of retrospective frequency correction in large samples for single-voxel MR spectroscopy at 7T
C-Y Lee, J. Xu, B. Yang, V. Magnotta
The University of Iowa, Iowa City, United States
Impact: This study demonstrates subjection motion-induced frequency changes affect certain metabolites with small concentrations rather than affecting major metabolites as in the presence of gradient heating-induced frequency drift. The resulting increased rCRLB of metabolites can be mitigated using retrospective frequency corrections. 
 
Computer Number: 80
2945. An initial report of quantitative analysis of segmented whole-brain MRSI in epilepsy
H. Shayeste, S. Chambers, P. Lazen, M. Tomschik, J. Wais, G. Kasprian, L. Haider, L. Hofer, C. Baumgartner, J. Koren, M. Feucht, C. Dorfer, E. Pataraia, W. Bogner, S. Trattnig, K. Rössler, G. Hangel
Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
Impact: For the first time, we established regional concentration estimates of neurochemicals in epilepsy patients using 7T MRSI. Detecting abnormal concentrations could improve the diagnostic performance in MR-negative patients.
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