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Deep Learning For Quantitative Motion Tracking Based On Optical Coherence Tomography, Peter Abdelmalak
Deep Learning For Quantitative Motion Tracking Based On Optical Coherence Tomography, Peter Abdelmalak
Theses
Optical coherence tomography (OCT) is a cross-sectional imaging modality based on low coherence light interferometry. OCT has been widely used in diagnostic ophthalmology and has found applications in other biomedical fields such as cancer detection and surgical guidance.
In the Laboratory of Biophotonics Imaging and Sensing at New Jersey Institute of Technology, we developed a unique needle OCT imager based on a single fiber probe for breast cancer imaging. The needle OCT imager with sub-millimeter diameter can be inserted into tissue for minimally invasive in situ breast imaging. OCT imaging provides spatial resolution similar to histology and has the potential …