Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
367-03-007 ISMRM Abstract

Estimation of muscle fiber diameter using time-dependent diffusion MRI in masticatory myofascial pain syndrome

Primary: Diffusion - Microstructure
Secondary: Musculoskeletal - Muscle
367-03-007 · Muscle Microstructure and Deformation · Monday, 11 May, 1:50 PM–2:45 PM · Digital Posters Row H
Keywords: Random Permeable Barrier Model Musculoskeletal MRI Time-dependent diffusion MRI Diffusion weighted imaging Pain
Accepted
Gabrielle Baxter 1, Arianna Brenes2, Santiago Coelho1, Thomas L Ruan2, Elizabeth G Lane2, Valentin Stepanov1, Jenny Chen1, Thorsten Feiweier3, Sara Strauss2, Valentina Mazzoli1, Gwendolyn Reeve4, Dmitry S Novikov1, Gene Kim2, Els Fieremans1
1Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI²R), New York University Grossman School of Medicine, New York, United States of America
2Department of Radiology, Weill Cornell Medicine, New York, United States of America
3MR Research and Clinical Translation, Siemens Healthineers AG, Erlangen, Germany
4Department of Surgery, Weill Cornell Medicine, New York, United States of America
Presenting Author: Gabrielle Baxter

Synopsis

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References

1. Fleckenstein J, Zaps D, Rüger LJ, Lehmeyer L, Freiberg F, Lang PM, Irnich D. Discrepancy between prevalence and perceived effectiveness of treatment methods in myofascial pain syndrome: results of a cross-sectional, nationwide survey. BMC Musculoskelet Disord. 2010 Feb 11;11:32. Doi: 10.1186/1471-2474-11-32 [doi]
2. Oudeman J, Nederveen AJ, Strijkers GJ, Maas M, Luijten PR, Froeling M. Techniques and applications of skeletal muscle diffusion tensor imaging: A review. J Magn Reson Imaging. 2016 Apr;43(4):773-88. doi: 10.1002/jmri.25016 [doi]
3. Fieremans, E. et al. In vivo measurement of membrane permeability and myofiber size in human muscle using time-dependent diffusion tensor imaging and the random permeable barrier model. NMR Biomed 30, doi:10.1002/nbm.3612 (2017). [doi]
4. Novikov, D. S., Fieremans, E., Jensen, J. H. & Helpern, J. A. Random walk with barriers. Nat Phys 7, 508-514, doi:10.1038/nphys1936 (2011). [doi]
5. Chen J, Ades-Aron B, Lee HH, Mehrin S, Pang M, Novikov DS, Veraart J, Fieremans E. Optimization and validation of the DESIGNER preprocessing pipeline for clinical diffusion MRI in white matter aging. Imaging Neurosci (Camb). 2024 Apr 8;2:imag-2-00125. doi: 10.1162/imag_a_00125. [doi]
6. 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 [doi]
7. Lee HH, Novikov DS, Fieremans E. Removal of partial Fourier-induced Gibbs (RPG) ringing artifacts in MRI. Magn Reson Med. 2021 Nov;86(5):2733-2750. doi: 10.1002/mrm.28830. [doi]
8. Andersson JL, Sotiropoulos SN. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage. 2016;125:1063–1078. Doi: 10.1016/j.neuroimage.2015.10.019 [doi]
9. Andersson JL, Skare S, Ashburner J. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage. 2003;20:870–888 doi: 10.1016/S1053-8119(03)00336-7 [doi]
10. Chang LC, Walker L, Pierpaoli C. Informed RESTORE: A method for robust estimation of diffusion tensor from low redundancy datasets in the presence of physiological noise artifacts. Magn Reson Med. 2012 Nov;68(5):1654-63.
11. Berry DB, Englund EK, Galinsky V, Frank LR, Ward SR. Varying diffusion time to discriminate between simulated skeletal muscle injury models using stimulated echo diffusion tensor imaging. Magn Reson Med. 2021 May;85(5):2524-2536. doi: 10.1002/mrm.28598 [doi]
12. Guimarães TB, Ferreira MB, Wakamatsu A, Oliveira SR, Guimarães AS, Suazo GI, Marie SKN. Muscle fiber type composition, fiber diameter, capillary density in temporalis and masseter muscles and correlation with bite force. Int J Morphol. 2013;31(2):747–753. Doi: 10.4067/s0717 95022013000200064 [doi]
13. Ringqvist M. Fibre sizes of human masseter muscle in relation to bite force. J Neurol Sci. 1973 Jul;19(3):297-305. doi: 10.1016/0022-510x(73)90093-2 [doi]
14. Tippett HL, Dodgson LK, Hunt NP, Lewis MP. Indices of extracellular matrix turnover in human masseter muscles as markers of craniofacial form--a preliminary study. Eur J Orthod. 2008 Apr;30(2):217-25. doi: 10.1093/ejo/cjm105 [doi]
15. Jin F, Guo Y, Wang Z, Badughaish A, Pan X, Zhang L, Qi F. The pathophysiological nature of sarcomeres in trigger points in patients with myofascial pain syndrome: A preliminary study. European Journal of Pain.2020;24(10):1968-78 doi: 10.1002/ejp.1647 [doi]
16. Fernández-de-las-Penas C, Svensson P. Myofascial Temporomandibular Disorder. Curr Rheumatol Rev. 2016;12(1):40-54. doi: 10.2174/1573397112666151231110947 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/367-03-007