2016
DOI: 10.1121/1.4950463
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Photoacoustic imaging of muscle oxygenation during exercise

Abstract: Monitoring muscle hemodynamics and oxygenation is important for studying muscle function and fatigue. Current state-of-the-art for noninvasive oximetry is near-infrared spectroscopy (NIRS), which provides relative oxygen saturation (SO2) with good sensitivity but has poor spatial resolution and sensing depth, and does not provide anatomical context. In this study, we demonstrated the utility of a dual-modality imaging system that could generate co-registered ultrasound (US) and photoacoustic (PA) images for re… Show more

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“…Photoacoustic (PA) imaging is a hybrid imaging technology that provides multiscale spatial resolution and deep tissue penetration by utilizing intrinsic optical absorption with ultrasound (US) detection [ 1 , 2 , 3 ]. Currently, the development of real-time PA imaging systems for biomedical applications (e.g., breast tumor and melanoma detection, vascular structure imaging and evaluation of muscle oxygenation) is greatly needed to assess anomalous tissue perfusion resulting from conditions such as ischemia or subcutaneous tumors [ 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. In addition, lots of novel handheld PA imaging systems have been proposed to provide diagnostic information for preclinical implementation [ 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…Photoacoustic (PA) imaging is a hybrid imaging technology that provides multiscale spatial resolution and deep tissue penetration by utilizing intrinsic optical absorption with ultrasound (US) detection [ 1 , 2 , 3 ]. Currently, the development of real-time PA imaging systems for biomedical applications (e.g., breast tumor and melanoma detection, vascular structure imaging and evaluation of muscle oxygenation) is greatly needed to assess anomalous tissue perfusion resulting from conditions such as ischemia or subcutaneous tumors [ 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. In addition, lots of novel handheld PA imaging systems have been proposed to provide diagnostic information for preclinical implementation [ 11 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%