7Scientific Collaborations and Strategic Partnerships, Siemens Healthcare srl, Milano, Italy
Presenting Author: Manu Raghavan Pullur Vadakke Warriam
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.
3. Henriques RN, Simões RV, Monteiro S, Ianuş A, Carvalho T, Jespersen SN, Shemesh N. Correlation tensor imaging enhances histological differences between mouse glioblastoma subtypes. 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto (CA): 2023.
4. Novello L, Henriques RN, Ianuş A, Feiweier T, Shemesh N, Jovicich J. In vivo Correlation Tensor MRI reveals microscopic kurtosis in the human brain on a clinical 3T scanner. NeuroImage 2022;254:119137. https://doi.org/10.1016/j.neuroimage.2022.119137. [doi]
5. Veraart J, Novikov DS, Christiaens D, Ades-aron B, Sijbers J, Fieremans E. Denoising of diffusion MRI using random matrix theory. NeuroImage 2016;142:394–406. https://doi.org/10.1016/j.neuroimage.2016.08.016. [doi]
6. Henriques RN, Ianuş A, Novello L, Jovicich J, Jespersen SN, Shemesh N. Efficient PCA denoising of spatially correlated redundant MRI data. Imaging Neuroscience 2023;1:imag–1–00049. https://doi.org/10.1162/imag_a_00049. [doi]
7. Raghavan M, Novello L, Henriques RN, Shemesh N, Ianuş A, Feiweier T, Zacà D, Jovicich J. Threshold PCA denoising outperforms MP-PCA in correlation tensor imaging data of human brain microstructure at 3T. Book of Abstracts ESMRMB 2025 Online 41st Annual Scientific Meeting, Marseille (FR): 2025, p. 481–3. https://doi.org/https://doi.org/10.1007/s10334-025-01278-8. [doi]
8. Garyfallidis E, Brett M, Amirbekian B, Rokem A, Van Der Walt S, Descoteaux M, Nimmo-Smith I, Dipy Contributors. Dipy, a library for the analysis of diffusion MRI data. Front Neuroinform 2014;8. https://doi.org/10.3389/fninf.2014.00008. [doi]
9. Kellner E, Dhital B, Kiselev VG, Reisert M. Gibbs‐ringing artifact removal based on local subvoxel‐shifts. Magnetic Resonance in Med 2016;76:1574–81. https://doi.org/10.1002/mrm.26054. [doi]
10. Andersson JLR, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage 2003;20:870–88. https://doi.org/10.1016/S1053-8119(03)00336-7. [doi]
11. Andersson JLR, Sotiropoulos SN. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. NeuroImage 2016;125:1063–78. https://doi.org/10.1016/j.neuroimage.2015.10.019. [doi]
12. Vos SB, Tax CMW, Luijten PR, Ourselin S, Leemans A, Froeling M. The importance of correcting for signal drift in diffusion MRI. Magnetic Resonance in Med 2017;77:285–99. https://doi.org/10.1002/mrm.26124. [doi]
13. Tustison NJ, Avants BB, Cook PA, Yuanjie Zheng, Egan A, Yushkevich PA, Gee JC. N4ITK: Improved N3 Bias Correction. IEEE Trans Med Imaging 2010;29:1310–20. https://doi.org/10.1109/TMI.2010.2046908. [doi]