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

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Power Pitch

Spectroscopy 1H & All

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Spectroscopy 1H & All
Power Pitch
Contrast Mechanisms
Tuesday, 13 May 2025
Power Pitch Theatre 2
13:30 -  15:30
Moderators: Ashley Harris & Dinesh Deelchand
Session Number: PP-10
No CME/CE Credit

13:30
Screen Number: 26
0591. Whole-Brain, High-Resolution Diffusion-Weighted MRSI with Improved Phase Correction
Z. Wang, F. Lam
University of Illinois, Urbana-Champaign, Urbana, United States
Impact: The proposed method advanced capability of in vivo DW-MRSI and may facilitate compartment/cell-type-specific tissue microstructural investigations. 
13:32
Screen Number: 27
0592. Assessing the reproducibility of downfield MRSI in the human brain at 3T
İ. Özdemir, S. Etyemez, P. Barker
Johns Hopkins University, Baltimore, United States
Impact: 3D DF-MRSI at 3T is a highly reproducible tool. In the future it may be useful in for studies of amides and other resonances in pathological conditions.
13:34
Screen Number: 28
0593. Phase Correction of MRSI Data Using Model-Based Signal Estimation and Extrapolation
W. Jin, R. Guo, Y. Li, Y. Zhao, X. Li, X-H Zhu, W. Chen, Z-P Liang
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, United States
Impact: We propose a novel method for effective phase correction of MRSI data. This method is expected to provide a useful tool for processing, quantifying, and analyzing MRSI data. 
13:36
Screen Number: 29
0594. Non-gaussian diffusion of the major intracellular metabolites is sensitive to cerebellar microstructural alterations in essential tremor.
G. Genovese, K. Șimșek, M. Palombo, S. Lehéricy, C. Gallea, F. Branzoli
Norwegian University of Science and Technology, Trondheim, Norway
Impact: -Feasibility of in-vivo investigation of microstructural changes associated with cerebellar atrophy in patients with essential tremor.-Feasibility of using DW-MRS in clinical settings to measure non-Gaussian diffusivities of metabolites and provide insights into secondary neuronal structures.
13:38
Screen Number: 30
0595. Automatic, Online Reconstruction of Advanced Single Voxel and Spectroscopic Imaging Sequences
P. Truong, K. Chow, L. Cui, L. Burki, J. Rock, S. Ahn, J. Near
Sunnybrook Research Institute, Toronto, Canada
Impact: We demonstrate the benefit of automatic reconstruction and analysis pipelines for spectroscopy, integrated on-scanner with FIRE. The proposed framework benefits collaborative work as complete containerized environments for processing and analysis can be shared between research sites.
13:40
Screen Number: 31
0596. In vivo Glx measurements from GABA-edited HERMES at 3T are not consistent with those from short-TE PRESS across scanners, regions, and age groups.
A. Thomson, P. Aggensteiner, H. Roeyers, T. Falck-Ytter, E. Loth, J. Buitelaar, D. Murphy, T. Arichi, N. Puts
King's College London, London, United Kingdom
Impact: In a large sample, we show that HERMES (TE = 80ms) Glx estimates are not consistent with paired Glx measurements from short-TE PRESS, highlighting the need for consideration during MRS sequence selection, integrating data across different acquisitions, and data interpretation.
13:42
Screen Number: 32
0597. Clues from 1H MR spectroscopy about the cerebral micro-environment of ingested ethanol
R. Kreis, J. Mosso, G. Weng, K. Simsek, C. Boesch, J. Slotboom, A. Döring
University Bern, Bern, Switzerland
Impact:

The explored partial and B0-dependent detectability of brain ethanol may give insight into its microenvironment and could scale with the extent of physiologic effects. Ethanol’s differential and field-dependent T2s may serve as prototype for studying binding properties of endogenous metabolites.

13:44
Screen Number: 33
0598. Have a Coke and a Smile: Sweet Insights into Brain Glucose Dynamics with SLOW-EPSI
G. Weng, P. Radojewski, J. Slotboom
University of Bern, Bern, Switzerland
Impact: This method offers a practical approach to monitor brain glucose dynamics, supporting nutritional research and enhancing understanding of how dietary intake influences brain metabolism, with potential implications for studies on diabetes and other metabolic disorders.
 
13:46
Screen Number: 34
0599. Probing transient changes in intracellular-extracellular lactate distribution in the mouse brain during i.v. lactate infusion using dMRS
S. Malaquin, J. Valette, C. Baligand
Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, Fontenay-aux-Roses, France
Impact: We were able to non-invasively capture transient changes in intracellular-extracellular lactate distribution using dMRS, and it would be invaluable to estimate its vascular fraction and exchange kinetics between compartments to better understand lactate’s role in brain function. 
 
13:48
Screen Number: 35
0600. Quantification of NAD+ proton cross-relaxation with water using downfield 1H MRS in the human brain at 7 T
S. Swago, N. Wilson, M. Elliott, R. Armbruster, R. P. R. Nanga, R. Reddy, W. Witschey
University of Pennsylvania, Philadelphia, United States
Impact: NAD+ cross-relaxation in human brain can be exploited to increase sensitivity through T1-shortening, and its quantification may provide insights into metabolite binding in vivo.
13:50
Screen Number: 36
0601. Measuring Lactate Levels in Gray and White Matter of the healthy Human Brain using semi-LASER MRSI with Concentric Ring Trajectory Encoding at 3T
V. Bader, B. Strasser, W. Bogner, L. Hingerl, S. Frese, A. Duguid, A. Osburg, M. Marjańska, S. Motyka, M. Krššák, T. Scherer, R. Lanzenberger, F. Niess
Medical University of Vienna, Vienna, Austria
Impact:

Capturing time-resolved regional Lac-levels could improve understanding of various pathologies characterized by abnormal levels. The proposed versatile sLASER-CRT-MRSI-sequence allows spectral averaging over specific brain regions and could help detect metabolic changes associated with pathologies and improve diagnostic and therapeutic approaches.

13:52
Screen Number: 37
0602. Insight in metabolic changes of early and late stage glioma revealed by both downfield MRS and Non-targeted Metabolomics
X. Zhu, Y. Cao, Y. Zhou, K. Zhou, D. Lin, S. You, Z. He, S. Chen, C. Cai, Y-C Hsu, M. Wang
Zhejiang University, Hangzhou, China
Impact: Downfield MRS signal differences between normal and tumor tissues at different stages enhance tumor metabolism diagnosis. Correlations with nucleotides and other metabolic pathways suggest these non-conventional peaks as potential novel biomarkers for cancer metabolism.
13:54
Screen Number: 38
0603. Novel lipid-targeted echo-planar spectroscopic imaging technique for in-vivo lipid composition measurement
D. Lin, K. Zhou, Y. Zhou, X. Zhu, S. You, Y. Cao, J. Zhou, F. Chen, C. Cai, Y-C Hsu, M. Wang
Zhejiang University, Hangzhou, China
Impact: Csar-EPSI enables rapid and precise assessment of lipid composition in vivo. Its enhanced sensitivity and reliability provide critical insights into metabolic disorders, paving the way for improved diagnostics and personalized treatments in high-field human abdominal MRI applications.
13:56
Screen Number: 39
0604. Sex Differences in Brain Metabolites after mild Traumatic Brain Injury: The Role of Hormonal Influences using 3T MRS
L. Fuchs, K. Breedlove, T. Shic, S. Rusche, N. Sollmann, J. Strobel, A. Betz, M. Van den Nieuwenhof, S. McComas, I. Koerte, A. Lin
Center for Clinical Spectroscopy, Brigham and Women´s Hospital, Harvard Medical School, Boston, United States
Impact: Our results reveal hormone-dependent metabolic changes in the brain post-mTBI, emphasizing the role of estradiol in neuroprotection and the complexity of intake of oral contraceptives. This could inform future sex-specific therapeutic strategies for mTBI patients.
13:58
Screen Number: 40
0605. Metabolite T1 and T2 relaxation times in the macaque brain at 11.7T with local B1+ shimming
A. Lopez Kolkovsky, M. Gay, M. Roustan, T. Lilin Froment, A. Massire, A. Amadon, F. Mauconduit, F. Boumezbeur
CEA, Gif-sur-Yvette, France
Impact: Increased accuracy for metabolite concentration estimation and optimal acquisition parameters to maximize temporal SNR at 11.7T. Parallel transmission elicited a large reduction in the required RF power for a 2.25 mL cortical voxel using a dedicated 6Tx/6Rx surface coil.
14:00
Screen Number: 41
0606. Cell-Resolved MR Spectroscopic Signatures for Cancer Cells Mapping: Dual-State Subspaces and GFP-Labeled Glioma Mouse Validation
Y. Wang, U. Saha, S. Liu, E. Roy, A. Smith, F. Lam
University of Illinois Urbana-Champaign, Urbana, United States
Impact: The proposed approach can assess cell-specific tissue responses, with significant potentials for tumor staging, treatment assessment, and recurrence detections.
14:02
Screen Number: 42
0607. Insights from the downfield proton MR spectrum: establishing peak assignments and novel pathophysiologic findings in hepatic encephalopathy
J. Mosso, R. Kreis, B. Lanz, C. Cudalbu
CIBM Center for Biomedical Imaging, Lausanne, Switzerland
Impact: Metabolite-cycled 1H-MRS used here in an animal model of hepatic encephalopathy enabled unique access to energy metabolites with downfield resonances (glucose, ATP) and will shed new light on energy metabolism alterations at stake in this disease.
14:04  
Screen Number: 43
0608. WITHDRAWN
14:06
Screen Number: 44
0609. Automated MRS quality control across diverse acquisitions and neurological diseases using self-supervised transformers
J. Lee, S. Vaziri, N. Tran, D. Xu, Y. Li, J. Lupo
UCSF, San Fransisco, United States
Impact: This approach enables automated quality control for MRS, reducing reliance on manual assessments. It enhances diagnostic accuracy, supports broader clinical adoption, and may reveal complex interdependencies, thus improving our understanding of neurological disease progression and treatment responses
 
14:08
Screen Number: 45
0610. Visual Evaluative Control Technology Of Resonance Spectroscopy (VECTORS): Automated Data Quality Control Pipeline for Spectroscopy Data
B. Beroukhim, Z. Lan, V. Halkotar, S. McComas, K. Breedlove, A. Lin
Brigham and Women's Hospital, Boston, United States
Impact: As a comprehensive, automated, and efficient MRS DQC process, the pipeline can help standardize DQC and expand the field to scientists with little MRS expertise. The pipeline should be used in addition to standard quantitative metrics.
14:10
Screen Number: 46
0611. A Multi-Resolution Fitting Approach for 31P MRSI
J-P Schmitz, V. Franke, J. Platek, P. Bachert, M. Ladd, A. Korzowski
German Cancer Research Center (DKFZ), Heidelberg, Germany
Impact:

We present a quantification approach improving the quantification robustness of low-concentrated metabolites in high-resolution 31P MRSI datasets, yielding the potential for effective measurement time reduction of 31P MRSI in vivo.

14:12
Screen Number: 47
0612. Metabolism in the human brain following oral consumption of a keto-ester for applications in alcohol use disorder (AUD) with 1H-MRSI
M. Virk, R. Kitaneh, M. Mignosa, S. McIntyre, T. Nixon, K. DeMartini, S. O’Malley, J. Krystal, H. De Feyter, G. Angarita, G. Mason, R. de Graaf, C. Kumaragamage
Cumming School of Medicine, University of Calgary, Calgary, Canada
Impact: Accurate BHB quantification is critical to evaluate BHB transport into the brain post-keto-ester consumption. A modified J-difference editing strategy is expected to mitigate shortcomings to investigate BHB transport to assess disease severity and gain insights related to craving in AUD.
14:14
Screen Number: 48
0613. Towards 31P-informed 1H MRSI: A framework for the analysis of shared spectral features in vivo
J. Platek, F. Kroh, V. Franke, P. Bachert, M. Ladd, A. Korzowski
German Cancer Research Center, Heidelberg, Germany
Impact: The exploitation of mutually correlated spectral features in vivo from different molecular MR techniques, e.g. 31P and 1H MRSI, enables the identification of potential new surrogate markers.
14:16
Screen Number: 49
0614. Ultrahigh-Resolution Mapping of Brain Metabolic Structures at Ultrahigh Field
R. Guo, Y. Li, Y. Zhao, W. Jin, Y. Chai, Y. Li, B. Sutton, Z-P Liang
Siemens Healthineers, St Louis, United States
Impact: This work demonstrates the feasibility of ultrahigh-resolution mapping of brain metabolic structures using MRSI. The proposed method offers a new potential for exploring brain metabolism with unprecedented details. 
14:18
Screen Number: 50
0615. Detection of ultrasound-sensitive nanodroplets with proton magnetic resonance spectroscopy
C. Bailey, T. Rabelo, S-K Wu, C. Hamani, J. Near, H. Lea-Banks
Sunnybrook Research Institute, Toronto, Canada
Impact: Proton MRS has potential for monitoring the delivery of lipid nanodroplets in vivo. Nanodroplets can incorporate drugs and be targeted to specific brain regions using focused ultrasound. Future MRS studies will examine effects of drug release and dose on MRS.
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