Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia

Carlos Vega, Raquel León, Norberto Medina, H. Fabelo, S. Ortega, F. Balea, Aday García, Margarita Medina, Silvia De León, Alicia Martín, G. Callicó
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Abstract

The early detection of precancerous cervical lesions is essential to improve patient treatment and prognosis. Current methods of screening and diagnosis have improved the detection of these lesions but still present some critical limitations. Hyperspectral (HS) imaging is emerging as a new non-invasive and label-free imaging technique in the medical field for performing quick diagnosis of different diseases. This work describes the first step in the research and development process to present to the gynaecologist a new non-invasive tool to detect cervical neoplasia during routine medical procedures. This tool is based on a HS camera coupled to a colposcope, a primary tool already used in cervical examinations. The developed HS colposcope was validated by comparing the HS images obtained against the captures obtained with conventional optics. Results show the feasibility of the developed system to start a data acquisition campaign of cervical lesions targeting future developments of algorithms based on artificial intelligence.
用于宫颈发育不良早期检测和评估的高光谱阴道镜的研制
早期发现宫颈癌前病变对改善患者治疗和预后至关重要。目前的筛查和诊断方法已经改善了这些病变的检测,但仍然存在一些严重的局限性。高光谱成像(HS)作为一种新型的无创、无标签的成像技术,在医学领域迅速发展,可用于各种疾病的快速诊断。这项工作描述了研究和发展过程的第一步,向妇科医生展示了一种新的非侵入性工具,可以在常规医疗程序中检测宫颈肿瘤。这个工具是基于一个HS相机耦合到阴道镜,一个主要的工具已经用于宫颈检查。通过将所获得的HS图像与常规光学捕获的图像进行比较,验证了所开发的HS阴道镜。结果表明,所开发的系统可以启动针对未来基于人工智能算法发展的宫颈病变数据采集活动。
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