Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
602-02-001 ISMRM Abstract

Short TE From a Nonlinear Gradient Coil Improves Image Quality and Lesion Conspicuity of Prostate DWI

Accepted
Horace Z Zhang 1, Nahla M Elsaid2,3, Terence Nixon2, Andrew Dewdney4, Dana Peters1,2, Jeffrey C Weinreb2, Preston C Sprenkle5, R. Todd Constable1,2, Gigi Galiana1,2
1Department of Biomedical Engineering, Yale University, New Haven, United States of America
2Department of Radiology and Biomedical Imaging, Yale University, New Haven, United States of America
3Division of Diagnostic Imaging and Radiology, Children’s National Health System, Washington D.C., United States of America
4Siemens Healthineers AG, Forchheim, Germany
5Department of Urology, Yale University, New Haven, United States of America
Presenting Author: Horace Z Zhang

Synopsis

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References

1. Weinreb JC, Barentsz JO, Choyke PL, et al. PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2. European Urology. 2016;69(1):16-40. doi:10.1016/j.eururo.2015.08.052 [doi]
2. Zhu A, Tarasek M, Hua Y, et al. Human prostate MRI at ultrahigh-performance gradient: A feasibility study. Magnetic Resonance in Medicine. 2024;91(2):640-648. doi:10.1002/mrm.29874 [doi]
3. Molendowska M, Palombo M, Foley KG, et al. Diffusion MRI in prostate cancer with ultra-strong whole-body gradients. NMR in Biomedicine. 2024;37(12):e5229. doi:10.1002/nbm.5229 [doi]
4. Zhang HZ, Elsaid NMH, Weinreb JC, Galiana G. Prostate Diffusion-Weighted Imaging with an Inside-Out Nonlinear Gradient Coil. In: Proceedings of the ISMRM & ISMRT Annual Meeting & Exhibition. Honolulu, HI, USA; 2025:1333.
5. Elsaid NMH, Zhang HZ, Fettahoglu A, et al. A Nonlinear Single Channel Gradient Insert for Prostate Diffusion Imaging. Magnetic Resonance in Medicine. doi:10.1002/mrm.70125 [doi]
6. Bachl M, Skwierawska D, Hadler D, et al. Pros and Cons of High-Performance Gradient Enabled Short-TE Prostate DWI: A Prospective Study. Investigative Radiology. 2025;60(9):592. doi:10.1097/RLI.0000000000001171 [doi]
7. Chatterjee A, Bourne RM, Wang S, et al. Diagnosis of Prostate Cancer with Noninvasive Estimation of Prostate Tissue Composition by Using Hybrid Multidimensional MR Imaging: A Feasibility Study. Radiology. 2018;287(3):864-873. doi:10.1148/radiol.2018171130 [doi]
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9. Kellner E, Dhital B, Kiselev VG, Reisert M. Gibbs-ringing artifact removal based on local subvoxel-shifts. Magnetic Resonance in Medicine. 2016;76(5):1574-1581. doi:10.1002/mrm.26054 [doi]
10. Tournier JD, Smith R, Raffelt D, et al. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage. 2019;202:116137. doi:10.1016/j.neuroimage.2019.116137 [doi]
11. Conlin CC, Feng CH, Rodriguez-Soto AE, et al. Improved Characterization of Diffusion in Normal and Cancerous Prostate Tissue Through Optimization of Multicompartmental Signal Models. Journal of Magnetic Resonance Imaging. 2021;53(2):628-639. doi:10.1002/jmri.27393 [doi]
12. Domingo MR, Do DD, Conlin CC, et al. Restriction Spectrum Imaging as a Quantitative Biomarker for Prostate Cancer With Reliable Positive Predictive Value. The Journal of Urology. May 2025. doi:10.1097/JU.0000000000004611 [doi]

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