Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
531-01-009 / 531-01-009 ISMRM Abstract

Voxel-Wise DCE-MRI for Fibrosis Assessment in Chronic Liver Disease: A Data-Driven Framework Validated Against Histology

Primary: Analysis Methods - Data Processing
Secondary: Body - Liver
531-01-009 · Quantitative Imaging: Applications · Wednesday, 13 May, 8:20 AM–9:56 AM · Roof Terrace
531-01-009 · Quantitative Imaging: Applications · Wednesday, 13 May, 8:20 AM–9:56 AM · Roof Terrace
Keywords: Clustering analysis Liver Fibrosis Chronic liver disease Dynamic contrast-enhanced MRI (DCE-MRI) Liver Function
Accepted
Shan Cai 1,2, Alexander Persson1, Wolf Bartholomä1,3,4, Christian Simonsson1,3,5, Simone Ignatova6, Patrik Nasr1,3,7,8, Mattias Ekstedt1,3,8, Stergios Kechagias1,3,8, Nils Dahlström1,3,4, Magnus Borga3,5, Peter Lundberg1,3,4,9
1Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
2Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
3Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden
4Clinical Department of Radiology in Linköping, Region Östergötland, Linköping, Sweden
5Department of Biomedical Engineering, Linköping University, Linköping, Sweden
6Department of Clinical Pathology, Linköping University Hospital, Linköping, Sweden
7Wallenberg Center for Molecular Medicine, Linköping University, Linköping, Sweden
8Clinical Department of Gastroenterology and Hepatology, Region Östergötland, Linköping, Sweden
9Clinical Department of Medical Radiation Physics in Linköping, Region Östergötland, Linköping, Sweden
Presenting Author: Shan Cai

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References

1. Sharma A, Nagalli S. Chronic Liver Disease. StatPearls. Treasure Island (FL): StatPearls Publishing; 2023.
2. Poynard T, Ratziu V, Bedossa P. Appropriateness of liver biopsy. Can J Gastroenterol. 2000;14:543-548. doi: 10.1155/2000/107982 [doi]
3. Loomba R, Adams LA. Advances in non-invasive assessment of hepatic fibrosis. Gut. 2020;69:1343-1352. doi: 10.1136/gutjnl-2018-317593 [doi]
4. Ringe KI, Husarik DB, Sirlin CB, Merkle EM. Gadoxetate disodium-enhanced MRI of the liver: part 1, protocol optimization and lesion appearance in the noncirrhotic liver. AJR Am J Roentgenol. 2010;195:13-28. doi: 10.2214/AJR.10.4392 [doi]
5. Cruite I, Schroeder M, Merkle EM, Sirlin CB. Gadoxetate disodium-enhanced MRI of the liver: part 2, protocol optimization and lesion appearance in the cirrhotic liver. AJR Am J Roentgenol. 2010;195:29-41. doi: 10.2214/AJR.10.4538 [doi]
6. Poetter-Lang S, Bastati N, Messner A, et al. Quantification of liver function using gadoxetic acid-enhanced MRI. Abdom Radiol (NY). 2020;45:3532-3544. doi: 10.1007/s00261-020-02779-x [doi]
7. Kleiner DE, Brunt EM, Van Natta M, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005;41:1313-1321. doi: 10.1002/hep.20701 [doi]
8. Ntatsis K, Dekker N, Van Der Valk V, et al. itk-elastix: Medical image registration in Python. Proceedings of the Python in Science Conference; 2023. p. 101-105.
9. Shamonin DP, Bron EE, Lelieveldt BP, et al. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease. Front Neuroinform. 2013;7:50. doi: 10.3389/fninf.2013.00050 [doi]
10. Jansen MJA, Kuijf HJ, Veldhuis WB, Wessels FJ, van Leeuwen MS, Pluim JPW. Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver. Phys Med Biol. 2017;62:7556-7568. doi: 10.1088/1361-6560/aa8848 [doi]
11. Gross M, Huber S, Arora S, et al. Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. Eur Radiol. 2024;34:5056-5065. doi: 10.1007/s00330-023-10495-5 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/531-01-009