Development of clinical hyperspectral imaging system for head and neck tumors
ORAL
Abstract
Early-stage cancer detection and classification significantly increase the chances of successful treatment. In this study, we aim to develop a portable clinical hyperspectral imaging (HSI) system for the detection and classification of skin tumors in the head and neck region.
The tripod mounted system is based on a handheld hyperspectral camera (IQ, Specim, Finland) with an additional achromatic doublet lens to achieve sub-millimeter spatial resolution. The imaging regions were illuminated with a halogen lamp coupled to a ring illuminator providing bright and homogenous illumination. Tissue topography was also captured using two time-of-flight cameras (flexx2, PMD, Germany).
Three types of tumors were imaged in the study: benign papillary nevi, and malignant basal and squamous cell carcinomas. Hyperspectral images were analyzed using tissue indices, a metric that estimates various tissue properties, including melanin content, blood content, and oxygenation. Preliminary results show significant differences between tissues: malignant tumors have less melanin than benign ones (p<0.05) and tumors differ from healthy tissue in oxygenation (p<0.02).
Results show that a portable clinical HSI system could assist in early tumor detection, leading to better treatment outcome.
*This work was supported by Slovenian Research and Innovation Agency (ARIS) grants P1-0389, P3-0003, Z1-4384, J3-2529, and J3-3083.
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Presenters
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Črt Keber
- University of Ljubljana, Faculty of Mathematics and Physics