607-01-007 ISMRM Abstract

DeepSENC: AI-Driven Robust Strain-Encoding MRI Quantification for Cardiac-Induced Liver Fibrosis Assessment

Primary: Analysis Methods - Data Processing

Secondary: Body - Liver

607-01-007 · Advanced Cardiac Quantification Methods · Thursday, 14 May, 8:30 AM–10:20 AM · Meeting Room 1.40

Keywords: Quantitative techniques Strain Biomechanics Liver Fibrosis Deep Learning in Medical Imaging

Accepted

Khaled Z Abd-Elmoniem ¹, Ahmed Abdelfadeel¹, Ahmed Harouni², Ahmed M Gharib¹

¹Biomedical and Metabolic Imaging Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, United States of America

²NVIDIA Corporation, Santa Clara, United States of America

Presenting Author: Khaled Z Abd-Elmoniem

Synopsis

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References

1. Kisseleva T, Brenner D. Molecular and cellular mechanisms of liver fibrosis and its regression. Nat Rev Gastroenterol Hepatol. 2021;18(3):151–166. https://doi.org/10.1038/s41575-020-00372-7 [doi]

2. Zhang YN, Fowler KJ, Ozturk A, et al. Liver fibrosis imaging: A clinical review of ultrasound and magnetic resonance elastography. 2020;51(1):25–42. https://doi.org/10.1002/jmri.26716 [doi]

3. Caussy C, Chen J, Alquiraish MH, et al. Association Between Obesity and Discordance in Fibrosis Stage Determination by Magnetic Resonance vs Transient Elastography in Patients With Nonalcoholic Liver Disease. Clin Gastroenterol Hepatol. 2018;16(12):1974–1982. https://doi.org/10.1016/j.cgh.2017.10.037 [doi]

4. Harouni AA, Gharib AM, Osman NF, et al. Assessment of liver fibrosis using fast strain-encoded MRI driven by inherent cardiac motion. Magn Reson Med. 2015;74(1):106–114. https://doi.org/10.1002/mrm.25379 [doi]

5. Lefebvre T, Petitclerc L, Hébert M, et al. MRI cine-tagging of cardiac-induced motion for noninvasive staging of liver fibrosis. J Magn Reson Imaging. 2020;51(5):1570–1580. https://doi.org/10.1002/jmri.26935 [doi]

6. Korosoglou G, Giusca S, Hofmann NP, et al. Strain-encoded magnetic resonance: a method for the assessment of myocardial deformation. ESC Heart Fail. 2019;6(4):584–602. https://doi.org/10.1002/ehf2.12442 [doi]

7. Yousef TA, Osman NF. Effect of Noise and Slice Profile on Strain Quantifications of SENC MRI. In: FIMH. 2007. https://doi.org/10.1007/978-3-540-72907-5_6 [doi]

8. Batson JD, Royer LA. Noise2Self: Blind Denoising by Self‑Supervision. arXiv:1901.11365. https://arxiv.org/abs/1901.11365

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/607-01-007