Volume 39, Issue 6 pp. 1374-1383
Original Research

High resolution diffusion tensor imaging of human nerves in forearm

Yuxiang Zhou PhD

Corresponding Author

Yuxiang Zhou PhD

Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, Texas, USA

Address reprint requests to: Y.Z., Beaumont Health System, 3601 West Thirteen Mile Road, Royal Oak, MI 48073. E-mail: [email protected]Search for more papers by this author
Ponnada A. Narayana PhD

Ponnada A. Narayana PhD

Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, Texas, USA

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Manickam Kumaravel MD

Manickam Kumaravel MD

Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, Texas, USA

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Parveen Athar MD

Parveen Athar MD

Department of Neurology, University of Texas Health Science Center at Houston, Houston, Texas, USA

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Vipulkumar S. Patel RTMR

Vipulkumar S. Patel RTMR

Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, Texas, USA

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Kazim A. Sheikh MD

Kazim A. Sheikh MD

Department of Neurology, University of Texas Health Science Center at Houston, Houston, Texas, USA

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First published: 14 November 2013
Citations: 28

Abstract

Purpose

To implement high resolution diffusion tensor imaging (DTI) for visualization and quantification of peripheral nerves in human forearm.

Materials and Methods

This HIPAA-compliant study was approved by our Institutional Review Board and written informed consent was obtained from all the study participants. Images were acquired with T1-and T2-weighted turbo spin echo with/without fat saturation, short tau inversion recovery (STIR). In addition, high spatial resolution (1.0 × 1.0 × 3.0 mm3) DTI sequence was optimized for clearly visualizing ulnar, superficial radial and median nerves in the forearm. Maps of the DTI derived indices, fractional anisotropy (FA), mean diffusivity (MD), longitudinal diffusivity (λ//) and radial diffusivity (λ) were generated.

Results

For the first time, the three peripheral nerves, ulnar, superficial radial, and median, were visualized unequivocally on high resolution DTI-derived maps. DTI delineated the forearm nerves more clearly than other sequences. Significant differences in the DTI-derived measures, FA, MD, λ// and λ, were observed among the three nerves. A strong correlation between the nerve size derived from FA map and T2-weighted images was observed.

Conclusion

High spatial resolution DTI is superior in identifying and quantifying the median, ulnar, and superficial radial nerves in human forearm. Consistent visualization of small nerves and nerve branches is possible with high spatial resolution DTI. These normative data could potentially help in identifying pathology in diseased nerves. J. Magn. Reson. Imaging 2014;39:1374–1383. © 2013 Wiley Periodicals, Inc.

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