668-03-008 ISMRM Abstract

Kidneys are on FIRE

Primary: Body - Kidney

Secondary: Analysis Methods - Software Tools

668-03-008 · Quantitative MRI Software: Tools and Applications · Thursday, 14 May, 1:40 PM–2:35 PM · Digital Posters Row I

Keywords: Analysis/Processing Kidney Open-source software T1-mapping Automated segmentation

Accepted

Luis C Sanmiguel ^1,2, Pieter de Visschere^1,2, Pim Pullens^1,3,4

¹Department of Radiology and Nuclear Medicine, Ghent University Hospital, Gent, Belgium

²Department of Diagnostic Sciences, Ghent University, Ghent, Belgium

³Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent University, Ghent, Belgium

⁴IBiTech – Medisip, Ghent University, Ghent, Belgium

Presenting Author: Luis C Sanmiguel

Synopsis

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References

1. Bane, Octavia, et al. “Renal MRI: From Nephron to NMR Signal.” Journal of Magnetic Resonance Imaging, vol. 58, no. 6, 26 May 2023, pp. 1660–1679, https://doi.org/10.1002/jmri.28828. Accessed 8 Aug. 2025. [doi]

2. Caroli, Anna, et al. “Functional Magnetic Resonance Imaging of the Kidneys: Where Do We Stand? The Perspective of the European COST Action PARENCHIMA.” Nephrology Dialysis Transplantation, vol. 33, no. suppl_2, 23 Aug. 2018, pp. ii1–ii3, https://doi.org/10.1093/ndt/gfy181. Accessed 16 Mar. 2021. [doi]

3. Zhao, Kaixuan, et al. “Noninvasive Assessment of Diabetic Kidney Disease with MRI: Hype or Hope?” Journal of Magnetic Resonance Imaging, vol. 59, no. 5, 7 Sept. 2023, https://doi.org/10.1002/jmri.29000. Accessed 5 Mar. 2024. [doi]

4. Francis, Susan T, et al. “Magnetic Resonance Imaging to Evaluate Kidney Structure, Function, and Pathology: Moving toward Clinical Application.” American Journal of Kidney Diseases, vol. 82, no. 4, 1 Oct. 2023, pp. 491–504, https://doi.org/10.1053/j.ajkd.2023.02.007. [doi]

5. Zollner, Frank G., et al. “Kidney Segmentation in Renal Magnetic Resonance Imaging - Current Status and Prospects.” IEEE Access, vol. 9, 2021, pp. 71577–71605, https://doi.org/10.1109/access.2021.3078430. Accessed 10 Oct. 2021. [doi]

6. Sanmiguel-Serpa, Luis Carlos, et al. “Concentric-Object and Equiangular-Object Methods to Perform Standardized Regional Analysis in Renal MpMRI.” Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 38, no. 1, 19 Oct. 2024, pp. 67–83, https://doi.org/10.1007/s10334-024-01208-0. Accessed 22 Oct. 2025. [doi]

7. Sanmiguel Serpa, Luis Carlos, et al. “The Influence of Anthropometric Factors on Renal MpMRI: Insights from Regional Analysis.” Journal of Magnetic Resonance Imaging, vol. 61, no. 5, 28 Oct. 2024, https://doi.org/10.1002/jmri.29638. [doi]

8. Rot, Samuel, et al. “Real-Time Quantitative MRI Enabled by Scanner Integrated Machine Learning: A Proof of Principle with NODDI.” Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition, 16 Sept. 2025. https://doi.org/10.58530/2025/0340. Accessed 27 Oct. 2025. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/668-03-008