Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
566-06-002 ISMRM Abstract

Accelerating T1ρ Knee Mapping via Jointly Learning Sampling and Deep Quantitative MRI

Primary: Musculoskeletal - Osteoarthritis
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
566-06-002 · Quantitative Outcome Measures in MSK MRI · Wednesday, 13 May, 4:55 PM–5:50 PM · Digital Posters Row G
Keywords: Deep learning reconstruction Relaxation times K-Space Deep Learning Quantitative Mapping End-to-End Learning
Accepted
Dilbag Singh 1, Ravinder R Regatte1,2, Marcelo V Zibetti1,2,3
1The Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU Grossman School of Medicine, New York, United States of America
2The Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Grossman School of Medicine, New York, United States of America
3Department of Radiology, New York University Grossman School of Medicine, New York, United States of America
Presenting Author: Dilbag Singh

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References

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2. Banjar, M., Horiuchi, S., Gedeon, D. N., & Yoshioka, H. (2022). Review of quantitative knee articular cartilage MR imaging. Magnetic Resonance in Medical Sciences, 21(1), 29–40. https://doi.org/10.2463/mrms.rev.2021-0052 [doi]
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10. Zibetti, M. V. W., Sharafi, A., & Regatte, R. R. (2022). Optimization of spin‐lock times in $T_{1\rho}$ mapping of knee cartilage: Cramér‐Rao bounds versus matched sampling‐fitting. Magnetic Resonance in Medicine, 87(3), 1418–1434. https://doi.org/10.1002/mrm.29063 [doi]
11. Levine, E., Daniel, B., Vasanawala, S., Hargreaves, B., & Saranathan, M. (2017). 3D Cartesian MRI with compressed sensing and variable view sharing using complementary poisson‐disc sampling. Magnetic resonance in medicine, 77(5), 1774-1785. https://doi.org/10.1002/mrm.26254 [doi]
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http://echo.ismrm.org/p/ISMRM2026/566-06-002