This project's goal is to determine how to effectively implement a technology continuum from a low cost, remotely deployable imaging device to a more sophisticated multimode imaging system within a standard clinical practice. In this work a smartphone is used in conjunction with an optical attachment to capture cross-polarized and collinear color images of a nevus that are analyzed to quantify chromophore distribution. The nevus is also imaged by a multimode hyperspectral system, our proprietary SkinSpect™ device. Relative accuracy and biological plausibility of the two systems algorithms are compared to assess aspects of feasibility of in-home or primary care practitioner smartphone screening prior to rigorous clinical analysis via the SkinSpect.
Nicholas MacKinnon, Fartash Vasefi, Nicholas Booth, and Daniel L. Farkas, "Melanoma detection using smartphone and multimode hyperspectral imaging," Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 971117 (Presented at SPIE BiOS: February 16, 2016; Published: 6 April 2016); https://doi.org/10.1117/12.2222415.
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