Secondary:
Preclinical Animal & in vitro MR - Small Animals
363-05-015 · Classification and Analysis in the Brain
· Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row D
Keywords:PreclinicalSmall animalsDiffusion MRIDenoisingHigh b value
Accepted
Ricardo Coronado-Leija 1, Yoko Bekku2, Jiangyang Zhang3, James L Salzer2, Els Fieremans3, Dmitry S Novikov3
1Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America
2Neuroscience Institute, New York University Langone Health, New York, United States of America
3Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America
Presenting Author: Ricardo Coronado-Leija
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1. Jelle Veraart, Dmitry S Novikov, Daan Christiaens, Benjamin Ades-Aron, Jan Sijbers, Els Fieremans. Denoising of diffusion MRI using random matrix theory. Neuroimage. 142. 2016. https://doi.org/10.1016/j.neuroimage.2016.08.016 [doi]
2. Shreyas Fadnavis, Joshua Batson, and Eleftherios Garyfallidis. Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning. Advances in Neural Information Processing Systems 33. 2020.
3. Jonas L Olesen, Andrada Ianus, Leif Østergaard, Noam Shemesh, Sune N Jespersen. Tensor denoising of multidimensional MRI data. Magnetic Resonance in Medicine. 89(23). 2023. https://doi.org/10.1002/mrm.29478 [doi]
4. Lucilio Cordero-Grande, Daan Christiaens, Jana Hutter, Anthony N. Price, Jo V. Hajnal. Complex diffusion-weighted image estimation via matrix recovery under general noise models. NeuroImage 200 (2019). https://doi.org/10.1016/j.neuroimage.2019.06.039. [doi]
5. Steen Moeller, Pramod Kumar Pisharady, Sudhir Ramanna, Christophe Lenglet, Xiaoping Wu, Logan Dowdle, Essa Yacoub, Kamil Uğurbil, Mehmet Akçakaya. NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. NeuroImage 226. 2021. https://doi.org/10.1016/j.neuroimage.2020.117539 [doi]
6. Gregory Lemberskiy, Hersh Chandarana, Mary Bruno, Luke A Ginocchio, Chenchan Huang, Angela Tong, Mahesh Bharath Keerthivasan, Els Fieremans, Dmitry S Novikov. Feasibility of Accelerated Prostate Diffusion-Weighted Imaging on 0.55 T MRI Enabled With Random Matrix Theory Denoising. Investigative radiology 58(10). 2023. https://doi.org/10.1097/rli.0000000000000979 [doi]
7. Gregory Lemberskiy, Steven Baete, Jelle Veraart, Timothy M Shepherd, Els Fieremans, Dmitry S Novikov. MRI below the noise floor. ISMRM 2020.
8. Benjamin Ades‐Aron, Santiago Coelho, Gregory Lemberskiy, Jelle Veraart, Steven H Baete, Timothy M Shepherd, Dmitry S Novikov, Els Fieremans. Denoising Improves Cross‐Scanner and Cross‐Protocol Test–Retest Reproducibility of Diffusion Tensor and Kurtosis Imaging. Human Brain Mapping 46(4). 2025. https://doi.org/10.1002/hbm.70142 [doi]
9. Rafael Neto Henriques, Andrada Ianuş, Lisa Novello, Jorge Jovicich, Sune N Jespersen,
Noam Shemesh. Efficient PCA denoising of spatially correlated redundant MRI data. Imaging Neuroscience. 2023. https://doi.org/10.1162/imag_a_00049 [doi]
10. V.A. Marchenko, Pastur L.A. Distribution of eigenvalues for some sets of random matrices Matematicheskii Sbornik. 114(4). 1967
11. Elias Kellner, Bibek Dhital, Valerij G. Kiselev, Marco Reisert. Gibbs-ringing artifact removal based on local subvoxel-shifts. Magnetic Resonance in Medicine 76(5). 2015. https://doi.org/10.1002/mrm.26054
B.B. Avants, C.L. Epstein, M. Grossman, J.C. Gee. Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis 12(1). 2008. https://doi.org/10.1016/j.media.2007.06.004 [doi]
12. Elias Kellner, Bibek Dhital, Valerij G. Kiselev, Marco Reisert. Gibbs-ringing artifact removal based on local subvoxel-shifts. Magnetic Resonance in Medicine 76(5). 2015. https://doi.org/10.1002/mrm.26054 [doi]
13. Enrico Kaden, Frithjof Kruggel, Daniel C Alexander. Quantitative mapping of the per-axon diffusion coefficients in brain white matter. Magnetic Resonance in Medicine 75(4). 2016. https://doi.org/10.1002/mrm.25734 [doi]
14. Santiago Coelho, Steven H Baete, Gregory Lemberskiy, Benjamin Ades-Aron, Genevieve Barrol, Jelle Veraart, Dmitry S Novikov, Els Fieremans. Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems. NeuroImage. 257. 2022. https://doi.org/10.1016/j.neuroimage.2022.119290 [doi]
15. Jelle Veraart, Daniel Nunes, Umesh Rudrapatna, Els Fieremans, Derek K Jones, Dmitry S Novikov and Noam Shemesh. Noninvasive quantification of axon radii using diffusion MRI. eLife. 2020. https://doi.org/10.7554/eLife.49855 [doi]
16. Jelle Veraart, Els Fieremans, Dmitry S. Novikov. On the scaling behavior of water diffusion in human brain white matter. NeuroImage. 185. 2019. NeuroImage. https://doi.org/10.1016/j.neuroimage.2018.09.075 [doi]
17. Emilie T McKinnon, Jens H Jensen, G Russell Glenn, Joseph A Helpern. Dependence on b-value of the direction-averaged diffusion-weighted imaging signal in brain. Magnetic Resonance Imaging. 36. 2017. https://doi.org/10.1016/j.mri.2016.10.026 [doi]