From Event: SPIE Commercial + Scientific Sensing and Imaging, 2018
Point-of-care technologies have become increasingly important in diagnostic applications. Wireless capabilities provide easy storage and analysis of data. Thus, portable systems need to migrate to handheld versions. Previously we have been able to determine blood volume fraction and water content in human skin using near-infrared (NIR) imaging. We have also used this portable multispectral imager to successfully identify remission of disease after treatment in patients with Cushing disease. Here we present a handheld high resolution multispectral imager. This tool is designed to be light weight and easy to use to promote its use in any clinical setup. The device consists of a custom fabricated CMOS imaging camera with on-chip NIR filters, a 25mm lens and wireless communication electronics. Illumination is provided by a broad band incandescent lamp. The use of novel technology of on-chip filters avoids the need for large size filtering systems such as filter wheels, making it a handheld device. Eight NIR filters with wavelengths in the range 700 nm to 980 nm provide flexibility of detecting multiple chromophores in the skin such as oxy and deoxy hemoglobin, melanin etc. as well as water. Images are acquired simultaneously with exposure time of 300 ms to 500 ms. Each filtered image is about 340X340 pixel making it possible to use our curvature correction algorithm for accurate determination of parameters. Also, images at this resolution can provide reliable information about spatial variations. This tool can ultimately be used to the study other skin abnormalities such as Kaposi Sarcoma.
Siddharth Khare, Ali Afshari, Afrouz Anderson, Constantine A. Stratakis, and Amir H. Gandjbakhche, "Handheld high resolution multispectral imaging device for study of Cushing syndrome (Conference Presentation)," Proc. SPIE 10662, Smart Biomedical and Physiological Sensor Technology XV, 106620G (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 15, 2018; Published: 15 May 2018); https://doi.org/10.1117/12.2306093.5783312918001.
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