A new image calibration technique for colposcopic images

Wenjing Li; Marcelo Soto-Thompson; Yizhi Xiong; Holger Lange

doi:10.1117/12.650218

20 March 2006 A new image calibration technique for colposcopic images

Wenjing Li, Marcelo Soto-Thompson, Yizhi Xiong, Holger Lange

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614466 (2006) https://doi.org/10.1117/12.650218
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Colposcopy is a primary diagnostic method used to detect cancer and precancerous lesions of the uterine cervix. During the examination, the metaplastic and abnormal tissues exhibit different degrees of whiteness (acetowhitening effect) after applying a 3%-5% acetic acid solution. Colposcopists evaluate the color and density of the acetowhite tissue to assess the severity of lesions for the purpose of diagnosis, telemedicine, and annotation. However, the color and illumination of the colposcopic images vary with the light sources, the instruments and camera settings, as well as the clinical environments. This makes assessment of the color information very challenging even for an expert. In terms of developing a Computer-Aided Diagnosis (CAD) system for colposcopy, these variations affect the performance of the feature extraction algorithm for the acetowhite color. Non-uniform illumination from the light source is also an obstacle for detecting acetowhite regions, lesion margins and anatomic features. Therefore, in digital colposcopy, it is critical to map the color appearance of the images taken with different colposcopes into one standard color space with normalized illumination. This paper presents a novel image calibration technique for colposcopic images. First, a specially designed calibration unit is mounted on the colposcope to acquire daily calibration data prior to performing patient examinations. The calibration routine is fast, automated, accurate and reliable. We then use our illumination correction algorithm and a color calibration algorithm to calibrate the patient data. In this paper we describe these techniques and demonstrate their applications in clinical studies.

Citation Download Citation

Wenjing Li, Marcelo Soto-Thompson, Yizhi Xiong, and Holger Lange "A new image calibration technique for colposcopic images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614466 (20 March 2006); https://doi.org/10.1117/12.650218

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