Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-03-016 ISMRM Abstract

CEST-MT MR Fingerprinting in the Breast using Radial Acquisition, Low-Rank Reconstruction and Deep Learning Parameter Mapping

Primary: Body - Breast
Secondary: Contrast Mechanisms - CEST / APT / NOE
460-03-016 · Image Classification for Breast Cancer · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row A
Keywords: MR Fingerprinting Deep learning reconstruction Breast cancer Quantitative MRI CEST MRI in vivo
Accepted
Ouri Cohen 1, Elizabeth J Sutton2, Ricardo Otazo1,2,3
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, United States of America
2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, United States of America
3Memorial Sloan Kettering Cancer Center, New York, United States of America
Presenting Author: Ouri Cohen

Synopsis

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References

1. S. Lei et al., “Global patterns of breast cancer incidence and mortality: A population-based cancer registry data analysis from 2000 to 2020,” Cancer Communications, vol. 41, no. 11, pp. 1183–1194, 2021.
2. R. L. Gullo, S. C. Partridge, H. J. Shin, S. B. Thakur, and K. Pinker, “Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring,” AJR. American Journal of Roentgenology, vol. 222, no. 1, p. e2329933, Jan. 2024, doi: 10.2214/AJR.23.29933. [doi]
3. K. M. Jones, A. C. Pollard, and M. D. Pagel, “Clinical applications of chemical exchange saturation transfer (CEST) MRI,” Journal of Magnetic Resonance Imaging, vol. 47, no. 1, pp. 11–27, 2018. doi:10.1002/jmri.25838 [doi]
4. J. A. Martinez, E. J. Sutton, R. Otazo, and O. Cohen, “CEST MR Fingerprinting for In Vivo Bilateral Breast Imaging,” in Proceedings of the International Society of Magnetic Resonance in Medicine, May 2024, p. 1473. https://archive.ismrm.org/2024/1473.html
5. P. Jezzard and R. S. Balaban, “Correction for geometric distortion in echo planar images from B0 field variations,” Magnetic resonance in medicine, vol. 34, no. 1, pp. 65–73, 1995. https://doi.org/10.1002/mrm.1910340111 [doi]
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7. O. Cohen and R. Otazo, “Global Deep Learning Optimization of CEST MR Fingerprinting (CEST-MRF) Acquisition Schedule,” NMR in Biomedicine, vol. 36, p. e4954, 2023. doi:10.1002/nbm.4954 [doi]
8. D. L. Collins et al., “Design and construction of a realistic digital brain phantom,” IEEE transactions on medical imaging, vol. 17, no. 3, pp. 463–468, 1998. doi: 10.1109/42.712135 [doi]
9. O. Cohen, B. Zhu, and M. S. Rosen, “MR fingerprinting deep reconstruction network (DRONE),” Magnetic resonance in medicine, vol. 80, no. 3, pp. 885–894, 2018. https://doi.org/10.1002/mrm.27198 [doi]
10. D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980, 2014.
11. J.-S. Park, “Optimal Latin-hypercube designs for computer experiments,” Journal of statistical planning and inference, vol. 39, no. 1, pp. 95–111, 1994. https://doi.org/10.1016/0378-3758(94)90115-5 [doi]
12. O. Cohen, S. Huang, M. T. McMahon, M. S. Rosen, and C. T. Farrar, “Rapid and quantitative chemical exchange saturation transfer (CEST) imaging with magnetic resonance fingerprinting (MRF),” Magnetic resonance in medicine, vol. 80, no. 6, pp. 2449–2463, 2018. doi:10.1002/mrm.27221 [doi]
13. O. Cohen, R. J. Young, and R. Otazo, “Quantitative multislice and jointly optimized rapid CEST for in vivo whole-brain imaging,” Magnetic Resonance in Medicine, vol. 94, no. 2, pp. 541–553, 2025. doi:10.1002/mrm.30488 [doi]
14. O. Perlman, K. Herz, M. Zaiss, O. Cohen, M. S. Rosen, and C. T. Farrar, “CEST MR-Fingerprinting: practical considerations and insights for acquisition schedule design and improved reconstruction,” Magnetic resonance in medicine, vol. 83, no. 2, pp. 462–478, 2020. doi:10.1002/mrm.27937 [doi]
15. N. Vladimirov, O. Cohen, H.-Y. Heo, M. Zaiss, C. T. Farrar, and O. Perlman, “Quantitative molecular imaging using deep magnetic resonance fingerprinting,” Nature protocols, pp. 1–31, 2025. https://doi.org/10.1038/s41596-025-01152-w [doi]
16. O. Cohen et al., “CEST MR fingerprinting (CEST-MRF) for brain tumor quantification using EPI readout and deep learning reconstruction,” Magnetic Resonance in Medicine, vol. 89, no. 1, pp. 233–249, 2023. https://doi.org/10.1002/mrm.29448 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/460-03-016