Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-02-004 ISMRM Abstract

Profiling Lipid Composition from Multi-Gradient Echo MRI – Preliminary Evaluation Using Fat Models, Phantoms and In vivo Data

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Body - Liver
466-02-004 · Quantitative Applications in Body MRI: In Numbers We Trust · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row G
Keywords: Simulations Phantoms Fat Composition Fat-Water Modeling Unsaturated Fat
Accepted
Ashiqur Rahman1, Nakul Gupta2, Aaryani Tipirneni-Sajja 1,3
1Biomedical Engineering, University of Houston, Houston, United States of America
2Department of Radiology, Houston Methodist Hospital, Houston, United States of America
3Biomedical Sciences, University of Houston, Houston, United States of America
Presenting Author: Aaryani Tipirneni-Sajja

Synopsis

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References

1. Hamilton, G., Yokoo, T., Bydder, M., Cruite, I., Schroeder, M. E., Sirlin, C. B., & Middleton, M. S. (2011). In vivo characterization of the liver fat ¹H MR spectrum. NMR in biomedicine, 24(7), 784–790. https://doi.org/10.1002/nbm.1622 [doi]
2. Zhong, L., Chen, J. J., Chen, J., Li, L., Lin, Z. Q., Wang, W. J., & Xu, J. R. (2009). Nonalcoholic fatty liver disease: quantitative assessment of liver fat content by computed tomography, magnetic resonance imaging and proton magnetic resonance spectroscopy. Journal of digestive diseases, 10(4), 315–320. https://doi.org/10.1111/j.1751-2980.2009.00402.x [doi]
3. Szczepaniak, L. S., Babcock, E. E., Schick, F., Dobbins, R. L., Garg, A., Burns, D. K., McGarry, J. D., & Stein, D. T. (1999). Measurement of intracellular triglyceride stores by H spectroscopy: validation in vivo. The American journal of physiology, 276(5), E977–E989. https://doi.org/10.1152/ajpendo.1999.276.5.E977 [doi]
4. van Werven, J. R., Schreuder, T. C. M. A., Nederveen, A. J., Lavini, C., Jansen, P. L. M., & Stoker, J. (2010). Hepatic unsaturated fatty acids in patients with non-alcoholic fatty liver disease assessed by 3.0T MR spectroscopy. European Journal of Radiology, 75(2), e102–e107. https://doi.org/10.1016/j.ejrad.2009.12.033 [doi]
5. Iggman, D., Arnlöv, J., Vessby, B., Cederholm, T., Sjögren, P., & Risérus, U. (2010). Adipose tissue fatty acids and insulin sensitivity in elderly men. Diabetologia, 53(5), 850–857. https://doi.org/10.1007/s00125-010-1669-0 [doi]
6. Leporq, B., Lambert, S. A., Ronot, M., Vilgrain, V., & Van Beers, B. E. (2017). Simultaneous MR quantification of hepatic fat content, fatty acid composition, transverse relaxation time and magnetic susceptibility for the diagnosis of non-alcoholic steatohepatitis. NMR in biomedicine, 30(10), 10.1002/nbm.3766. https://doi.org/10.1002/nbm.3766 [doi]
7. Velan SS, Said N, Durst C, Frisbee S, Frisbee J, Raylman RR, Thomas MA, Rajendran VM, Spencer RG, Alway SE. Distinct patterns of fat metabolism in skeletal muscle of normal-weight, overweight, and obese humans. Am J Physiol Regul Integr Comp Physiol. 2008 Oct;295(4):R1060-5. doi: 10.1152/ajpregu.90367.2008. Epub 2008 Jul 30. PMID: 18667716; PMCID: PMC2576094. [doi] [pmid]
8. Peterson, P., & Månsson, S. (2013). Simultaneous quantification of fat content and fatty acid composition using MR imaging. Magnetic resonance in medicine, 69(3), 688–697. https://doi.org/10.1002/mrm.24297 [doi]
9. Tipirneni-Sajja, A., Krafft, A. J., Loeffler, R. B., Song, R., Bahrami, A., Hankins, J. S., & Hillenbrand, C. M. (2019). Autoregressive moving average modeling for hepatic iron quantification in the presence of fat. Journal of magnetic resonance imaging : JMRI, 50(5), 1620–1632. https://doi.org/10.1002/jmri.26682 [doi]
10. Shrestha, U., Esparza, J. P., Satapathy, S. K., Vanatta, J. M., Abramson, Z. R., & Tipirneni-Sajja, A. (2024). Hepatic steatosis modeling and MRI signal simulations for comparison of single- and dual-R2* models and estimation of fat fraction at 1.5T and 3T. Computers in biology and medicine, 174, 108448. https://doi.org/10.1016/j.compbiomed.2024.108448 [doi]
11. Corbin, I. R., Furth, E. E., Pickup, S., Siegelman, E. S., & Delikatny, E. J. (2009). In vivo assessment of hepatic triglycerides in murine non-alcoholic fatty liver disease using magnetic resonance spectroscopy. Biochimica et biophysica acta, 1791(8), 757–763. https://doi.org/10.1016/j.bbalip.2009.02.014 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/466-02-004