Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
569-01-004 ISMRM Abstract

Sparse b-value IVIM Imaging Using Subspace Modeling and Shape-Preserving Interpolation

Accepted
Alan J Finkelstein 1, Congyu Liao2, Giovanni Schifitto1, Jianhui Zhong1
1University of Rochester, Rochester, United States of America
2University of California San Francisco, San Francisco, United States of America
Presenting Author: Alan J Finkelstein

Synopsis

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References

1. e Bihan D. What can we see with IVIM MRI? Neuroimage. 2019;187:56-67
2. Finkelstein AJ, Liao C, Cao X, Mani M, Schifitto G, Zhong J. High-fidelity intravoxel incoherent motion parameter mapping using locally low-rank and subspace modeling. Neuroimage. Apr 15 2024;292:120601. doi:10.1016/j.neuroimage.2024.120601 [doi]
3. Chabert S, Verdu J, Huerta G, et al. Impact of b-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects. Magn Reson Med Sci. Oct 15 2019;doi:10.2463/mrms.mp.2019-0061 [doi]
4. Eichner C, Cauley SF, Cohen-Adad J, et al. Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast. Neuroimage. Nov 15 2015;122:373-84. doi:10.1016/j.neuroimage.2015.07.074 [doi]
5. Butt S, Brodlie K. Preserving positivity using piecewise cubic interpolation. Computers & Graphics. 1993;17(1):55-64.
6. Carlson RE, Fritsch FN. An algorithm for monotone piecewise bicubic interpolation. SIAM Journal on Numerical Analysis. 1989;26(1):230-238.
7. Virtanen P, Gommers R, Oliphant TE, et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat Methods. Mar 2020;17(3):261-272. doi:10.1038/s41592-019-0686-2 [doi]

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