Compressive diffuse optical tomography based on structured light and Monte Carlo methods

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Authors
Yao, Ruouang
Issue Date
2018-08
Type
Electronic thesis
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Language
ENG
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Biomedical engineering
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Abstract
Optical tomography with near infrared light (NIR) has gone through a rapid development over the last three decades with numerous applications in clinical and preclinical settings. Diffuse Optical Tomography (DOT) is widely acknowledged to provide irreplaceable functional information for brain imaging, optical mammography, peripheral vasculature diseases, etc. Also, Fluorescence Molecular Tomography (FMT) is becoming more central in preclinical applications, such as imaging small animals or engineered tissues, thanks to the ever-increasing availability of fluorescent molecular probes and its high sensitivity with unique multiplexing potential. However, technical implementations of optical tomography have been relying on raster scanning approaches or fixed punctual sources that are time multiplexed to capture tomographic information. Such configurations are slow, prone to sampling errors (object not in the plane of the optodes), and do not allow efficient scaling for whole body imaging.
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August 2018
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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