Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
431-01-008 / 431-01-008 ISMRM Abstract

Adaptive Data Acquisition Using Progressive Frequency Optimization and Deep Learning Reconstruction for Accelerated CEST MRI

Accepted
Chathumi Samaraweera1, Mariano G Uberti2, Adarsha Bhattarai1, Anand Thiraviyam3, Afshin Salehi4, Aditya N Bade5, Yutong Liu 2,5, Dongming Peng1
1Department of Electrical and Computer Engineering, University of Nebraska-Lincoln, Lincoln, United States of America
2Department of Radiology, University of Nebraska Medical Center, Omaha, United States of America
3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, United States of America
4Department of Neurosurgery, University of Nebraska Medical Center, Omaha, United States of America
5Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, United States of America
Presenting Author: Yutong Liu

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Simegn, G.L., Sun, P.Z., Zhou, J., Kim, M., Reddy, R., Zu, Z., Zaiss, M., Yadav, N.N., Edden, R.A., van Zijl, P.C. and Knutsson, L., (2025). Motion and magnetic field inhomogeneity correction techniques for chemical exchange saturation transfer (CEST) MRI: A contemporary review. NMR in Biomedicine, 38(1), p.e5294. doi: 10.1002/nbm.5294. [doi]
2. Jones, K.M., Pollard, A.C. and Pagel, M.D., (2018). Clinical applications of chemical exchange saturation transfer (CEST) MRI. Journal of Magnetic Resonance Imaging, 47(1), pp.11-27. doi: 10.1002/jmri.25838. [doi]
3. Rivlin, M., Perlman, O., & Navon, G. (2023). Metabolic brain imaging with glucosamine CEST MRI: In vivo characterization and first insights. Scientific Reports, 13(1), 22030. doi: 10.1038/s41598-023-48515-5 [doi]
4. Cheema, K., Han, P., Lee, H. L., Xie, Y., Christodoulou, A. G., & Li, D. (2025). Accelerated CEST imaging through deep learning quantification from reduced frequency offsets. Magnetic Resonance in Medicine. doi: 10.1002/mrm.30269 [doi]
5. Chen, L., Xu, H., Gong, T., Jin, J., Lin, L., Zhou, Y., & Chen, Z. (2024). Accelerating multipool CEST MRI of Parkinson’s disease using deep learning–based Z-spectral compressed sensing. Magnetic Resonance in Medicine, 92(6), 2616-2630. doi: 10.1002/mrm.30233. [doi]
6. Bhattarai A, Samaraweera C, Uberti M, Bade AN, Liu Y, Peng D. (2025) Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI. IEEE Access. doi: 10.1109/access.2025.3571638. [doi]

Cite this abstract