Abstract
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.
Highlights
Colposcopic diagnosis of cervical cancer is based on acetowhitening phenomenon, the transient whitening of tissue induced by acetic acid
We evaluated the performance of the 3-D imaging system, motion tracking algorithm and image registration method by creating a series of translations along and rotations around the X-Y-Z-axis of the stage coordinates
The performance evaluations were based on the comparison between the mean distances over the motion ranges calculated by using the quaternion and iterative closest point (ICP) tracking algorithms, respectively
Summary
Colposcopic diagnosis of cervical cancer is based on acetowhitening phenomenon, the transient whitening of tissue induced by acetic acid. The temporal kinetics of acetowhitening process produces the diagnostic information to detect and grade the precancerous cervical lesions known as Cervical Intraepithelial Neoplasia (CIN). It has been shown that the quantitative measurement of acetowhitening kinetics at cervix in vivo can potentially improve the diagnostic accuracy of colposcopy [1,2,3]. Slight motion of the patient will cause the loss of the correspondence between the time-sequenced images of cervix recorded during the examination. The measurement of acetowhitening kinetics using the time-sequenced images will generate false diagnostic information because of patient’s motion. Accurate registration of the time-sequenced images during colposcopy procedure is crucial to accurately measure the kinetics of acetowhitening in the area of interest
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