Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis

Zhiyun Xue; Sameer Antani; L. Rodney Long; Jose Jeronimo M.D.; George R. Thoma

doi:10.1117/12.709588

3 March 2007 Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis

Zhiyun Xue, Sameer Antani, L. Rodney Long, Jose Jeronimo M.D., George R. Thoma

Author Affiliations +

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65124I (2007) https://doi.org/10.1117/12.709588
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Cervicography is a technique for visual screening of uterine cervix images for cervical cancer. One of our research goals is the automated detection in these images of acetowhite (AW) lesions, which are sometimes correlated with cervical cancer. These lesions are characterized by the whitening of regions along the squamocolumnar junction on the cervix when treated with 5% acetic acid. Image preprocessing is required prior to invoking AW detection algorithms on cervicographic images for two reasons: (1) to remove Specular Reflections (SR) caused by camera flash, and (2) to isolate the cervix region-of-interest (ROI) from image regions that are irrelevant to the analysis. These image regions may contain medical instruments, film markup, or other non-cervix anatomy or regions, such as vaginal walls. We have qualitatively and quantitatively evaluated the performance of alternative preprocessing algorithms on a test set of 120 images. For cervix ROI detection, all approaches use a common feature set, but with varying combinations of feature weights, normalization, and clustering methods. For SR detection, while one approach uses a Gaussian Mixture Model on an intensity/saturation feature set, a second approach uses Otsu thresholding on a top-hat transformed input image. Empirical results are analyzed to derive conclusions on the performance of each approach.

Citation Download Citation

Zhiyun Xue, Sameer Antani, L. Rodney Long, Jose Jeronimo M.D., and George R. Thoma "Comparative performance analysis of cervix ROI extraction and specular reflection removal algorithms for uterine cervix image analysis", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124I (3 March 2007); https://doi.org/10.1117/12.709588

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available