Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-04-006 ISMRM Abstract

Diving deep into uterine layers - quantitative uterine diffusion MRI at 0.55T

Primary: Diffusion - Diffusion Analysis & Visualization
Secondary: Body - Uterus
365-04-006 · Body MR: Potpourri of Techniques in Uterine, Cervical, Liver, and Kidney Imaging · Monday, 11 May, 2:45 PM–3:40 PM · Digital Posters Row F
Keywords: IVIM Uterus Diffusion-weighted MRI 0.55T ADC
Accepted
Smiti Tripathy 1,2, Milauni Desai1,2, Lieselotte Kratzsch2, Vignesh V Pai1, Stefanie Burghaus3, Matthias W Beckmann3, Michael Uder2, Matthias May2, Jana Hutter1,2,4
1Smart Imaging Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
2Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
3Institute of Women's Health, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
4School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom
Presenting Author: Smiti Tripathy

Synopsis

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References

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3. Varsha R, Priyanka, Guruvare S, Kadavigere R, Pendem S. Diagnostic accuracy of intravoxel incoherent motion and diffusion kurtosis imaging in evaluating endometrial lesions - A systematic review. Radiography (Lond). 2025; 103125. https://doi.org/10.1016/j.radi.2025.103125 [doi]
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7. Harmsen MJ, Trommelen LM, de Leeuw RA, Tellum T, Juffermans LJM, Griffioen AW, et al. Uterine junctional zone and adenomyosis: comparison of MRI, transvaginal ultrasound and histology. Ultrasound Obstet Gynecol. 2023;62: 42–60. https://doi.org/10.1002/uog.26117 [doi]
8. Meng X, Tian S, Zhang Q, Chen L, Lin L, Li J, et al. Improved differentiation between stage I-II endometrial carcinoma and endometrial polyp with combination of APTw and IVIM MR imaging. Magn Reson Imaging. 2023;102: 43–48. https://doi.org/10.1016/j.mri.2023.04.001 [doi]
9. Shetty AS, Ludwig DR, Ippolito JE, Andrews TJ, Narra VR, Fraum TJ. Low-field-strength body MRI: Challenges and opportunities at 0.55 T. Radiographics. 2023;43: e230073. https://doi.org/10.1148/rg.230073 [doi]
10. Fick RHJ, Wassermann D, Deriche R. The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy. Front Neuroinform. 2019;13: 64. https://doi.org/10.3389/fninf.2019.00064 [doi]

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http://echo.ismrm.org/p/ISMRM2026/365-04-006