Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
467-02-011 ISMRM Abstract

Validation of Uncertainty Quantification in AI-Derived Liver PDFF Measurements Using MRI

Accepted
Bhavesh N Lalwani1, Juan P Meneses1, Sergio Uribe 1
1Department of Medical Imaging and Radiation Sciences, Monash University, Melbourne, Australia
Presenting Author: Sergio Uribe

Synopsis

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References

1. Idilman IS, Aniktar H, Idilman R, et al. Hepatic steatosis: Quantification by proton density fat fraction with MR imaging versus liver biopsy. Radiology. 2013;267(3):767-775. doi:10.1148/radiol.13121360 [doi]
2. Tamada D, van der Heijden RA, Weaver J, Hernando D, Reeder SB. Confidence maps for reliable estimation of proton density fat fraction and R2* in the liver. Magn Reson Med. 2024. doi:10.1002/mrm.29986 [doi]
3. Meneses JP, Tejos C, Makalic E, Uribe S. Non-iterative and uncertainty-aware MRI-based liver fat estimation using an unsupervised deep learning method. Med Image Anal. 2026;107. doi:10.1016/j.media.2025.103811 [doi]
4. Silva J, Milovic C, Lambert M, et al. Toward a realistic in silico abdominal phantom for QSM. Magn Reson Med. January 2023. doi:10.1002/mrm.29597 [doi]
5. Hernando D, Kellman P, Haldar JP, Liang ZP. Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm. Magn Reson Med. 2010;63(1):79-90. doi:10.1002/mrm.22177 [doi]
6. Hernando D, Hines CDG, Yu H, Reeder SB. Addressing phase errors in fat-water imaging using a mixed magnitude/complex fitting method. Magn Reson Med. 2012;67(3):638-644. doi:10.1002/mrm.23044 [doi]

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