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Diffusion Tensor Imaging of the Normal Foot at 3 T

Elzibak, Alyaa H. MSc*†; Kumbhare, Dinesh A. MSc, MD, FRCPC‡§; Harish, Srinivasan MBBS, FRCPC†∥¶; Noseworthy, Michael D. PhD, PEng*†‡∥¶#

Journal of Computer Assisted Tomography:
doi: 10.1097/RCT.0b013e3182ab60ea
Musculoskeletal Imaging
Abstract

Objective: The objective of this study was to establish normative diffusion tensor imaging (DTI) eigenvalues (λ123), apparent diffusion coefficient, and fractional anisotropy in asymptomatic foot muscles.

Methods: Ten healthy adults (mean [SD], 25.9 [4.3] years) were examined using a 3-T magnetic resonance imaging scanner. Diffusion tensor imaging indices were evaluated in 5 muscles in the foot: quadratus plantae, abductor hallucis, flexor hallucis brevis, flexor digitorum brevis, and abductor digiti minimi. Signal-to-noise ratio was also measured for each muscle.

Results: In the various foot muscles, λ1 ranged from 1.88 × 10−3to 2.14 × 10−3 mm2/s, λ2 ranged from 1.39 × 10−3 to 1.48 × 10−3 mm2/s, and λ3 ranged from 0.91 × 10−3 to 1.27 × 10−3 mm2/s; apparent diffusion coefficient ranged from 1.48 × 10−3 to 1.55 × 10−3 mm2/s; and fractional anisotropy ranged from 0.21 to 0.40. Statistical differences were seen in some eigenvalues between muscle pairs. Mean signal-to-noise ranged from 47.5 to 69.1 in the various muscles examined.

Conclusions: Assessment of anisotropy of water diffusion in foot muscles was feasible using DTI. The measured DTI metrics in the foot were similar to those in calf and thigh skeletal muscles.

Author Information

From the *Department of Medical Physics and Applied Radiation Sciences, McMaster University; †Imaging Research Centre, St Joseph’s Healthcare; ‡School of Biomedical Engineering; Departments of §Medicine, Division of Rehabilitation Sciences, ∥Radiology, McMaster University; ¶Department of Diagnostic Imaging, St Joseph’s Healthcare; and #Department of Electrical and Computer Engineering, McMaster University, Hamilton, Ontario, Canada.

Received for publication September 11, 2013; accepted November 1, 2013.

Reprints: Michael D. Noseworthy, PhD, PEng, Electrical and Computer Engineering, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada. L8S 4K1 (e-mail: nosewor@mcmaster.ca).

Author Elzibak received doctoral postgraduate scholarship from the Natural Sciences and Engineering Research Council of Canada. Author Noseworthy has received lecture honoraria from both GE Healthcare and Bayer Healthcare in the last 12 months.

The other authors report no conflicts of interest.

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