Abstract
Unlike near-infrared spectroscopy, multispectral opto-acoustic tomography (MSOT) has the potential to offer high-resolution imaging assessment of hemodynamics and blood saturation levels in muscle. However motion artifacts impede the real-time applications of the technique. We developed fast-MSOT with motion tracking that reduces motion artifacts. We used this algorithm to follow blood oxygenation level changes associated with muscle exercise in the muscle and the skin of healthy volunteers.
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