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Multi-Resolution Local Binary Pattern for Assessing Cervical Ripening

Pablo J. Vásquez Obando 1,2, Nestor Arana A.1, Alberto Izaguirre 1, Jorge Burgos 3, and Itziar Arana 3
1. Mondragon University, Basque Country, Spain
2. National University of Engineering, Nicaragua
3. Obstetrics and Gynecology Service BioCruces Health Research Institute, Spain
Abstract—Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risk of labor induction as it occur in about 20% of the inductions. A ripe cervix (soft and distensible) is needed for a successful labor. During the ripening cervical tissues experience micro structural changes: collagen becomes disorganized and water content increases. It is expected that these changes will affect the interaction between cervical tissues and the sound waves during ultrasound transvaginal scanning and will be perceived as gray level intensity variations in the echographic image. Texture analysis can be used to analyze these variations and provide a means to evaluate cervical ripening in a non-invasive way. In this paper we analyze a set of Transvaginal Ultrasound (TVU) images using a multiresolution Local Binary Pattern to study their textures for classification purposes.
 
Index Terms—texture analysis, local binary pattern, cervical ripening, ultrasound imaging

Cite: Pablo J. Vásquez Obando, Nestor Arana A., Alberto Izaguirre, Jorge Burgos, and Itziar Arana, "Multi-Resolution Local Binary Pattern for Assessing Cervical Ripening," International Journal of Signal Processing Systems, Vol. 4, No. 6, pp. 499-503, December 2016. doi: 10.18178/ijsps.4.6.499-503
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