ISMRM25 - CEST, APT, & NOE

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

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

CEST, APT, & NOE

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CEST, APT, & NOE

Digital Poster

Contrast Mechanisms

Tuesday, 13 May 2025

Exhibition Hall

08:15 - 09:15

Session Number: D-92

No CME/CE Credit

		Computer Number: 33 2293. B1 inhomogeneity mitigated chemical exchange saturation transfer imaging using tailored saturation pulses View Presentation Video J. Tang, Y. Zhang Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China Impact: A new method to mitigate the influence of B₁ inhomogeneity for CEST imaging is provided. The method has the advantage of being easy to implement and not increasing the acquisition duration.
		Computer Number: 34 2294. Experimental study on evaluating renal redox metabolism in renal ischemia-reperfusion injury using GluCEST imaging with 3.0 T MRI View Presentation Video L. Liu, W. Mi, X. Yu, W. Xing, L. Pan Third Affiliated Hospital of Soochow University, ChangZhou, China Impact: This study demonstrates that GluCEST is a noninvasive and reliable imaging technique that evaluates the renal redox metabolism status after IRI and aids in the early diagnosis and clinical management of renal IRI.
		Computer Number: 35 2295. Multicenter Validation of Amide Proton Transfer Imaging for Molecular and Grade Classification of Adult-Type Diffuse Gliomas View Presentation Video T. Jiang, M. Wu, J. Hu, Y. Hsu, H. Guo, X. Ma, Y. Liu, Y. Zhang Zhejiang University, Hangzhou, China Impact: This study demonstrates that APT imaging reliably differentiates adult-type gliomas across centers, enabling more precise, non-invasive tumor characterization. It promotes earlier, molecularly informed diagnoses, guiding personalized treatment strategies and fostering research on APT imaging's prognostic and therapeutic potential.
		Computer Number: 36 2296. Enhancing SNR of CEST MRI Through Noise-to-Noise Deep Learning with K-space Data Consistency View Presentation Video H. LIU, Z. XIA, L. H. LAW, Z. CHEN, J. HUANG, D. SHEN, K. CHAN City University of Hong Kong, Hong Kong, China Impact: Our method can considerably increase SNR of CEST images without sacrificing image fidelity. After denoising, the derived CEST maps could more reliably represent molecular changes in brain regions.
		Computer Number: 37 2297. Mitigation of T1 impact for unbiased tumor APT MRI using quasi-steady-state based apparent exchange-dependent relaxation analysis View Presentation Video Z. Liu, Q. Yang, H. Liu, H. Luo, Y. Zheng, W. Cui, D. Luo, Y. Wu National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China Impact: The QUASS-based AREX analysis can effectively correct the T₁ confoundment in CEST measurements, facilitating unbiased tumor CEST MRI at 3 T.
		Computer Number: 38 2298. CEST contrasts remain stable in normal-appearing brain tissues but reveal tumor-specific alterations after radiotherapy in glioma patients View Presentation Video S. Regnery, N. von Knebel Döberitz, F. Kroh, P. Boyd, P. Menshchikov, S. Graß, C. Bauspieß, M. Ladd, J. Debus, H-P Schlemmer, A. Korzowski, L. König, D. Paech Heidelberg University Hospital, Heidelberg, Germany Impact: CEST contrasts remain unchanged in normal-appearing brain tissue after radiotherapy but change inside gliomas. Based on these findings, CEST contrast changes in gliomas after radiotherapy should be considered to be tumor-specific, and may be used to support tumor response assessment.
		Computer Number: 39 2299. Oxidative Phosphorylation in Skeletal Muscle Measured by High-Temporal-Resolution CEST MRI at 3T View Presentation Video L. Ju, T. Samuel, M. Schär, K. Wang, Y. Wu, R. Weiss, J. Xu Johns Hopkins University, Baltimore, United States Impact: With temporal resolution comparable to the ³¹P MRS technique, UFZ MRI shows great potential as a robust tool for non-invasive, localized assessment of mitochondrial function in skeletal muscles, which will assist the diagnosis of related diseases.
		Computer Number: 40 2300. CEST fluid artifact identification by steady-state signal fitting (FISS) View Presentation Video X. Yong, L. Zhou, C. Zhang, Y-C Hsu, C. Su, S. Lu, Y. Zhang Zhejiang University, Hangzhou, China Impact: The proposed method shows the ability to identify the fluid compartments on CEST images,which can help mitigate fluid artifacts in quantitative analysis and improve image reading.
		Computer Number: 41 2301. CEST analysis using a deep residual learning method based on Bloch-McConnell synthetic training data View Presentation Video S. Zeng, H. Zhang, Z. Wang, J. Wang, P. Cai, J. Huang the University of Hong Kong, Hong Kong, China Impact: We proposed deep residual networks to predict the Z-spectrum reference signal (ZrefNet) for CEST quantification. ZrefNet generated accurate CEST contrasts on simulation data and demonstrated its feasibility for analyzing in vivo human CEST data of multiple sclerosis and healthy controls.
		Computer Number: 42 2302. The Value of Amide Proton Transfer MRI in the Grading of Clear Cell Renal Cell Carcinoma : Comparison With Diffusion-Weighted Imaging X. Yang, H. Gao, C. Shen, Y. Fan, C. Zhang, D. Liu, P. Wu, L. Han, Y. Bai Liaocheng People's Hospital, Liaocheng, China Impact: APTw MRI holds potential as a valuable supplementary sequence to conventional MRI for the grading of ccRCC.
		Computer Number: 43 2303. Magnetic Resonance Fingerprinting for Glutamate Quantification: Towards the Intermediate Exchange Regime View Presentation Video D. Korenchan, N. Vladimirov, O. Perlman, C. Farrar Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, United States Impact: We demonstrate the initial development of quantitative glutamate imaging using chemical exchange and fingerprinting, which offers higher spatial resolution than spectroscopy and can track disease-dependent glutamate changes in the brain, such as for cancer or neurodegeneration.
		Computer Number: 44 2304. 31P-CEST “matrix” for in vivo rat brain: novel apparent Z spectra analysis towards sensitive imaging View Presentation Video N. Gao, Y. Wang, J-H Gao, X. Song Center for Biomedical Imaging Research, Tsinghua University, Beijing, China Impact: This study demonstrates that ³¹P-CEST technique enables the detection of individual metabolites (several mM) by indirectly detecting the bulk ³¹P signal (~20 mM), indicating the potential of ³¹P-CEST-MRI for accelerating acquisition and enhancing sensitivity by removing the spectral dimension.
		Computer Number: 45 2305. Histogram Analysis of 3D Amide Proton Transfer-weighted MRI for Distinguishing Brain Abscesses from Cystic High-grade Gliomas X. Zou, Y. Xu, Z. Wen Zhujiang Hospital of Southern Medical University, Guangzhou, China Impact: This study is the first to utilize APTw imaging to differentiate between brain abscesses and cystic high-grade gliomas. The results highlight the potential of APTw as a valuable imaging biomarker, supporting its utility in improving diagnostic accuracy.
		Computer Number: 46 2306. APTw-MRI with additional suppression of fluid compartments (necrosis) and noise reduction using rescaled MT-correcting CEST metrics View Presentation Video J. Keupp, O. Togao Philips Innovative Technologies, Hamburg, Germany Impact: The rescaled metric may provide a standard for displaying APTw contrast in tumor diagnosis and response assessment, combining MT-corrected and low noise quantitative assessment of chemical exchange in solid tumor areas with extra fluid suppression for efficient clinical reading.
		Computer Number: 47 2307. R1rho Dispersion Imaging to Detect Proteoglycan Loss in the Intervertebral Discs in Swine Models View Presentation Video M. Christiansen, S. Perez, M. Preul, J. Turner, J. Uribe, E. Mufson, D. Yang, W. Yoo, J. Gore, R. Dortch, P. Wang Barrow Neurological Institute, Phoenix, United States Impact: The study suggested that R1rho dispersion can detect the proteoglycan loss in spine discs, potentially making it a promising tool for the early detection of disc degeneration.
		Computer Number: 48 2308. Differentiating glioma recurrence and pseudoprogression by APTw CEST MRI View Presentation Video K. Karimian-Jazi, N. Enbergs, E. Golubtsov, K. Schregel, J. Ungermann, H. Fels-Palesandro, D. Schwarz, V. Sturm, J. Kernbach, D. Batra, F. Ippen, I. Pflüger, N. von Knebel Doeberitz, S. Heiland, M. Platten, F. Winkler, W. Wick, D. Paech, M. Bendszus, M. Breckwoldt University Hospital Heidelberg, Heidelberg, Germany Impact: This study highlights APTw-CEST MRI's value as an imaging biomarker, aiding clinicians in differentiating progression from pseudoprogression. It enables targeted treatment strategies and opens new research into metabolic imaging for personalized glioma management, enhancing patient care and guiding therapy decisions.

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