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Proceedings Paper

Scattering and absorption measurements of cervical tissues measures using low cost multi-spectral imaging
Author(s): Amir S. Bernat; Kfir Bar-Am; Leigh Cataldo; Frank J. Bolton; Bruce S. Kahn; David Levitz
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Paper Abstract

Cervical cancer is a leading cause of death for women in low resource settings. In order to better detect cervical dysplasia, a low cost multi-spectral colposcope was developed utilizing low costs LEDs and an area scan camera. The device is capable of both traditional colposcopic imaging and multi-spectral image capture. Following initial bench testing, the device was deployed to a gynecology clinic where it was used to image patients in a colposcopy setting. Both traditional colposcopic images and spectral data from patients were uploaded to a cloud server for remote analysis. Multi-spectral imaging (~30 second capture) took place before any clinical procedure; the standard of care was followed thereafter. If acetic acid was used in the standard of care, a post-acetowhitening colposcopic image was also captured. In analyzing the data, normal and abnormal regions were identified in the colposcopic images by an expert clinician. Spectral data were fit to a theoretical model based on diffusion theory, yielding information on scattering and absorption parameters. Data were grouped according to clinician labeling of the tissue, as well as any additional clinical test results available (Pap, HPV, biopsy). Altogether, N=20 patients were imaged in this study, with 9 of them abnormal. In comparing normal and abnormal regions of interest from patients, substantial differences were measured in blood content, while differences in oxygen saturation parameters were more subtle. These results suggest that optical measurements made using low cost spectral imaging systems can distinguish between normal and pathological tissues.

Paper Details

Date Published: 13 February 2018
PDF: 5 pages
Proc. SPIE 10485, Optics and Biophotonics in Low-Resource Settings IV, 104850D (13 February 2018); doi: 10.1117/12.2293816
Show Author Affiliations
Amir S. Bernat, MobileODT Ltd. (Israel)
Kfir Bar-Am, MobileODT Ltd. (Israel)
Leigh Cataldo, Scripps Clinic Medical Group (United States)
Frank J. Bolton, MobileODT Ltd. (Israel)
Bruce S. Kahn, Scripps Clinic Medical Group (United States)
David Levitz, MobileODT Ltd. (Israel)


Published in SPIE Proceedings Vol. 10485:
Optics and Biophotonics in Low-Resource Settings IV
David Levitz; Aydogan Ozcan; David Erickson, Editor(s)

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