This study aims to develop a novel imaging technique to improve the accuracy of the colposcolpic diagnosis of cervical cancer. An optical imaging system based on active stereo vision is built to measure the 3-D surface topology of cervix and track the motion of patient. The information of motion tracking are used to register the time-sequenced images of cervix recorded over the period of examination. The imaging system is evaluated by tracking the movements of cervix models. The results show that the error of 2-D image registration is 0.8 pixels, equivalent to the motion tracking error of 0.05 mm in the field-of-view. The imaging technique holds the promise to enable quantitative mapping of the acetowhitening kinetics over cervical surface for more accurate diagnosis of cervical cancer.
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Wu et al. (2007) studied this question.
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