Demonstration of a Sliding-Window Diffusion Tensor Technique for Temporal Study of Post-Exercise Skeletal Muscle Dynamics
Conrad P Rockel1,2 and Michael D Noseworthy1,2,3
1School of Biomedical Engineering, McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St Josephs Healthcare, Hamilton, ON, Canada, 3Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
A
novel sliding-window DTI analysis strategy, aimed at achieving both temporal
resolution and valid spatial representation, was tested on one human subject
pre- and post-exercise (plantar flexion) across 4 sets of different intensity. Temporal diffusion measures comprised
of 3- and 15-directions (ADC and
MD/FA, respectively) were assessed, as well as signal intensity of accompanying
T2-weighted images (S0). Peroneus
longus demonstrated increase in MD, ADC and S0, the peak and duration of which
reflected exercise intensity. FA
appeared noisy, although demonstrated large decreases following higher
intensity exercise. While further
work is needed, this method shows promise in measuring skeletal muscle
dynamics.
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