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MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging

View ORCID ProfileLeon Y. Cai, Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson, Jeffrey Luci, View ORCID ProfileBenjamin N. Conrad, Gavin R. Price, Colin B. Hansen, Cailey I. Kerley, Karthik Ramadass, Fang-Cheng Yeh, Hakmook Kang, Eleftherios Garyfallidis, Maxime Descoteaux, Francois Rheault, Kurt G. Schilling, Bennett A. Landman
doi: https://doi.org/10.1101/2020.12.03.408567
Leon Y. Cai
1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
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  • For correspondence: leon.y.cai@vanderbilt.edu
Qi Yang
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
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Praitayini Kanakaraj
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
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Vishwesh Nath
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
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Allen T. Newton
3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
4Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
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Heidi A. Edmonson
5Department of Radiology, Mayo Clinic, Rochester, MN, USA
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Jeffrey Luci
6Department of Biomedical Engineering, The University of Texas at Austin, TX, USA
7Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
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Benjamin N. Conrad
8Neuroscience Graduate Program, Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, TN, USA
9Department of Psychology and Human Development, Peabody College, Vanderbilt University, Nashville, TN, USA
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Gavin R. Price
9Department of Psychology and Human Development, Peabody College, Vanderbilt University, Nashville, TN, USA
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Colin B. Hansen
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
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Cailey I. Kerley
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
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Karthik Ramadass
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
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Fang-Cheng Yeh
10Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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Hakmook Kang
11Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
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Eleftherios Garyfallidis
12Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA
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Maxime Descoteaux
13Department of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada
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Francois Rheault
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
13Department of Computer Science, Université de Sherbrooke, Sherbrooke, Québec, Canada
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Kurt G. Schilling
3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
4Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
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Bennett A. Landman
1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
2Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
4Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA
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Abstract

Diffusion weighted imaging (DWI) allows investigators to identify microstructural differences between subjects, but variability due to session and scanner biases is still a challenge. To investigate DWI variability, we present MASiVar, a multisite dataset consisting of 319 diffusion scans acquired at 3T from b = 1000 to 3000 s/mm2 across 97 different healthy subjects and four different scanners as a publicly available, preprocessed, and de-identified dataset. With these data we characterize variability on the intrasession intrascanner (N = 158), intersession intrascanner (N = 328), intersession interscanner (N = 53), and intersubject intrascanner (N = 80) levels. Our baseline analysis focuses on four common DWI processing approaches: (1) a tensor signal representation, (2) a multi-compartment neurite orientation dispersion and density model, (3) white matter bundle segmentation, and (4) structural connectomics. Respectively, we evaluate region-wise fractional anisotropy (FA), mean diffusivity, and principal eigenvector; region-wise cerebral spinal fluid volume fraction, intracellular volume fraction, and orientation dispersion index; bundle-wise shape, volume, length and FA; and connectome correlation and maximized modularity, global efficiency, and characteristic path length. We plot the scan/re-scan discrepancies in these measures at each level and find that variability generally increases with intrasession to intersession to interscanner to intersubject effects and that sometimes interscanner variability can approach intersubject variability. This baseline study suggests harmonization between scanners for multisite analyses is critical prior to inference of group differences on subjects and demonstrates the potential of MASiVar to investigate DWI variability across multiple levels and processing approaches simultaneously.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging
Leon Y. Cai, Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson, Jeffrey Luci, Benjamin N. Conrad, Gavin R. Price, Colin B. Hansen, Cailey I. Kerley, Karthik Ramadass, Fang-Cheng Yeh, Hakmook Kang, Eleftherios Garyfallidis, Maxime Descoteaux, Francois Rheault, Kurt G. Schilling, Bennett A. Landman
bioRxiv 2020.12.03.408567; doi: https://doi.org/10.1101/2020.12.03.408567
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MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging
Leon Y. Cai, Qi Yang, Praitayini Kanakaraj, Vishwesh Nath, Allen T. Newton, Heidi A. Edmonson, Jeffrey Luci, Benjamin N. Conrad, Gavin R. Price, Colin B. Hansen, Cailey I. Kerley, Karthik Ramadass, Fang-Cheng Yeh, Hakmook Kang, Eleftherios Garyfallidis, Maxime Descoteaux, Francois Rheault, Kurt G. Schilling, Bennett A. Landman
bioRxiv 2020.12.03.408567; doi: https://doi.org/10.1101/2020.12.03.408567

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