Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
668-03-013 ISMRM Abstract

Reproducibility of intravoxel incoherent motion imaging: impact of the fitting algorithm

Primary: Diffusion - IVIM
Secondary: Analysis Methods - Software Tools
668-03-013 · Quantitative MRI Software: Tools and Applications · Thursday, 14 May, 1:40 PM–2:35 PM · Digital Posters Row I
Keywords: Open-source software Reproducibility Intravoxel incoherent motion (IVIM) Imaging biomarkers Open Science
Accepted
Ben Neijndorff 1, Daan Kuppens2, Ivan A Rashid3, Oscar Jalnefjord4,5, Eric T Peterson6, Petra J van Houdt1, Oliver J Gurney-Champion2
1Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands
2Department of Radiology & Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
3Medical Radiation Physics, Department of Translational Medicine, Lund University, Lund, Sweden
4Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
5Department of Biomedical Engineering and Medical Physics, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden
6Biosciences, Neuroscience Program, Stanford Research Institute International, Stanford, United States of America
Presenting Author: Ben Neijndorff

Synopsis

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References

1. Le Bihan D. (2019). What can we see with IVIM MRI?. NeuroImage, 187, 56–67. https://doi.org/10.1016/j.neuroimage.2017.12.062 [doi]
2. Federau C. Intravoxel incoherent motion MRI as a means to measure in vivo perfusion: A review of the evidence. NMR Biomed. 2017;30(11):1-15. doi:10.1002/nbm.3780 [doi]
3. Ljimani A, Caroli A, Laustsen C, et al. Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI. Magnetic Resonance Materials in Physics, Biology and Medicine. 2020;33(1):177-195. doi:10.1007/s10334-019-00790-y [doi]
4. Barbieri S, Donati OF, Froehlich JM, Thoeny HC. Impact of the calculation algorithm on biexponential fitting of diffusion-weighted MRI in upper abdominal organs. Magn Reson Med. 2016;75(5):2175-2184. doi:10.1002/mrm.25765 [doi]
5. Jalnefjord O, Björkman-Burtscher IM. Comparison of methods for intravoxel incoherent motion parameter estimation in the brain from flow-compensated and non-flow-compensated diffusion-encoded data. Magn Reson Med. 2024;92(1):303-318. doi: https://doi.org/10.1002/mrm.30042 [doi]
6. Gurney-Champion OJ, Klaassen R, Froeling M, et al. Comparison of six fit algorithms for the intravoxel incoherent motion model of diffusionweighted magnetic resonance imaging data of pancreatic cancer patients. PLoS One. 2018;13(4):1-18. doi:10.1371/journal.pone.0194590 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/668-03-013