Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-02-015 ISMRM Abstract

The effects of noise on comprehensive diffusion MRI analysis

Primary: Diffusion - Diffusion Acquisition
Secondary: Acquisition & Reconstruction - Quantitative Imaging: head and neck
363-02-015 · All About Diffusion · Monday, 11 May, 9:15 AM–10:10 AM · Digital Posters Row D
Keywords: Diffusion Acquisition Neurite orientation dispersion and density imaging Diffusion kurtosis imaging Signal-to-noise-ratio Connectome
Accepted
Shota Arakawa 1,2, Junichi Hata1,3, Yuichi Suzuki4, Miyu Okazaki1, Keiya Kandori1, Toshihiro Hayashi4, Osamu Abe5
1Tokyo Metropolitan University Graduate School of Human Health Sciences, Tokyo, Japan
2Tokyo Metropolitan University, Tokyo, Japan
3RIKEN Center for Brain Science, Saitama, Japan
4Radiology Center, The University of Tokyo Hospital, Tokyo, Japan
5Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
Presenting Author: Shota Arakawa

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Gregory Lemberskiy, Steven Baete, Jelle Veraart, Timothy M Shepherd, Els Fieremans, Dmitry S Novikov. MRI below the noise floor. Proc. Intl. Soc. Mag. Reson. Med. 2020 ;28:3451.
2. Zhu T, Liu X, Gaugh MD, Connelly PR, Ni H, Ekholm S, Schifitto G, Zhong J. Evaluation of measurement uncertainties in human diffusion tensor imaging (DTI)-derived parameters and optimization of clinical DTI protocols with a wild bootstrap analysis. J Magn Reson Imaging. 2009 Feb;29(2):422-35. doi: 10.1002/jmri.21647. PMID: 19161198. [doi] [pmid]
3. Jelle Veraart, Dmitry S. Novikov, Daan Christiaens, Benjamin Ades-aron, Jan Sijbers, Els Veraart J, Novikov DS, Christiaens D, Ades-Aron B, Sijbers J, Fieremans E. Denoising of diffusion MRI using random matrix theory. Neuroimage. 2016 Nov 15;142:394-406. doi: 10.1016/j.neuroimage.2016.08.016. Epub 2016 Aug 11. PMID: 27523449; PMCID: PMC5159209. [doi] [pmid]
4. Tournier JD, Smith R, Raffelt D, Tabbara R, Dhollander T, Pietsch M, Christiaens D, Jeurissen B, Yeh CH, Connelly A. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. Neuroimage. 2019 Nov 15;202:116137. doi: 10.1016/j.neuroimage.2019.116137. Epub 2019 Aug 29. PMID: 31473352. [doi] [pmid]
5. Andersson JL, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage. 2003 Oct;20(2):870-88. doi: 10.1016/S1053-8119(03)00336-7. PMID: 14568458. [doi] [pmid]
6. Andersson JLR, Sotiropoulos SN. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage. 2016 Jan 15;125:1063-1078. doi: 10.1016/j.neuroimage.2015.10.019. Epub 2015 Oct 20. PMID: 26481672; PMCID: PMC4692656. [doi] [pmid]
7. Steckner MC. A simple method for estimating the noise level in a signal region of an MR image. Med Phys. 2010 Sep;37(9):5072-9. doi: 10.1118/1.3480511. PMID: 20964227. [doi] [pmid]
8. Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage. 2011 Feb 1;54(3):2033-44. doi: 10.1016/j.neuroimage.2010.09.025. Epub 2010 Sep 17. PMID: 20851191; PMCID: PMC3065962. [doi] [pmid]
9. Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage. 2012 Jul 16;61(4):1000-16. doi: 10.1016/j.neuroimage.2012.03.072. Epub 2012 Mar 30. PMID: 22484410. [doi] [pmid]
10. Tournier JD, Calamante F, Gadian DG, Connelly A. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution. Neuroimage. 2004 Nov;23(3):1176-85. doi: 10.1016/j.neuroimage.2004.07.037. PMID: 15528117. [doi] [pmid]
11. Frank LR. Anisotropy in high angular resolution diffusion-weighted MRI. Magn Reson Med. 2001 Jun;45(6):935-9. doi: 10.1002/mrm.1125. PMID: 11378869. [doi] [pmid]
12. Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009 Mar;10(3):186-98. doi: 10.1038/nrn2575. Epub 2009 Feb 4. Erratum in: Nat Rev Neurosci. 2009 Apr;10(4):312. PMID: 19190637. [doi] [pmid]
13. Steckner MC. A simple method for estimating the noise level in a signal region of an MR image. Med Phys. 2010 Sep;37(9):5072-9. doi: 10.1118/1.3480511. PMID: 20964227. [doi] [pmid]
14. Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage. 2011 Feb 1;54(3):2033-44. doi: 10.1016/j.neuroimage.2010.09.025. Epub 2010 Sep 17. PMID: 20851191; PMCID: PMC3065962. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/363-02-015