Abstract #2593
Investigating the hemodynamics of calf muscle during exercise using independent component analysis (ICA)
Zhijun Li 1 , Prasanna Karunanayaka 1 , Matthew Muller 2 , Lawrence Sinoway 2 , and Qing X. Yang 1,3
1
Center for NMR Research, Department of
Radiology, College of Medicine, The Pennsylvania State
University, Hershey, Pennsylvania, United States,
2
Heart
and Vascular Institute, College of Medicine, The
Pennsylvania State University, Pennsylvania, United
States,
3
Department
of Neurosurgery, College of Medicine, The Pennsylvania
State University, Pennsylvania, United States
Unlike in human brain imaging, normalization to a common
template during exercising is a difficult proposition in
muscle-imaging studies. Here we propose a novel approach
to use single subject Independent Component Analysis
(ICA) to simultaneously identify and characterize the
lower leg muscle behavior during rhythmic
plantar-flexion. Since ICA requires no prior knowledge
of the muscle hemodynamics, it is ideally suited for
studies in which exploring muscle physiology (dynamics)
is the main focus. ICA results showed good
reproducibility in automatic segmentation of the calf
muscle and highlighted a possible causal connection
between muscle subgroups during exercising.
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