Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
465-03-005 ISMRM Abstract

Reproducibility of Spherical Mean Technique in the Peripheral Nerves of the Upper Extremity: A Traveling Subjects Study

Primary: Neuro - Peripheral Nerves
Secondary: Diffusion - Diffusion Modeling
465-03-005 · Neurography, Pain, and Spine · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row F
Keywords: Diffusion-Weighted Imaging Multivendor Reproducibility Peripheral nerve imaging Spherical Mean Technique
Accepted
Maya E Khoury1, Thammathida Ketsiri1, Ping Wang 1,2, Kezia Sharon Christopher3, Wesley P Thayer4, Isaac V. Manzanera Esteve4, Mark Mahan5, Richard Dortch 1,2,6,7
1Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, United States of America
2Translational Neuroscience, Barrow Neurological Institute, Phoenix, United States of America
3Neuroimaging Research, Barrow Neurological Institute, Phoenix, United States of America
4Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, United States of America
5Department of Neurosurgery, University of Utah, Salt Lake City, United States of America
6Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, United States of America
7Barrow Neurological Institute, Phoenix, United States of America
Presenting Author: Ping Wang

Synopsis

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References

1. Robinson LR. Traumatic injury to peripheral nerves. Muscle Nerve. 2022;66(6):661-70.
2. Manzanera-Esteve IV, Poirier SE, Chen X, et al. Noninvasive diffusion MRI to determine the severity of peripheral nerve injury. Magn Reson Imaging. 2021;83:96-106. doi:10.1016/j.mri.2021.08.006 [doi]
3. Stanisz GJ, Midha R, Munro CA, Henkelman RM. MR properties of rat sciatic nerve following trauma. Magn Reson Med. 2001;45(3):415-20. doi:10.1002/1522-2594(200103)45:3<415::AID-MRM1054>3.0.CO;2-M [doi]
4. Pridmore MD, Glassman GE, Pollins AC, et al. Initial findings in traumatic peripheral nerve injury and repair with diffusion tensor imaging. Ann Clin Transl Neurol. 2021;8(2):332-47. doi:10.1002/acn3.51270 [doi]
5. Kaden E, Kelm ND, Carson RP, Does MD, Alexander DC. Multi-compartment microscopic diffusion imaging. Neuroimage. 2016;139:346-59. doi:10.1016/j.neuroimage.2016.06.002 [doi]
6. 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;8:8. doi:10.3389/fninf.2014.00008 [doi]
7. 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.
8. Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage. 2006;31(3):1116-28.
9. Lin LIK. Assay validation using the concordance correlation coefficient. Biometrics. 1992;48(2):599-604. doi:10.2307/2532314 [doi]

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http://echo.ismrm.org/p/ISMRM2026/465-03-005