Labor Induction failure prediction based on B-Mode Ultrasound Image Processing using Multiscale Local Binary Patterns

Arana-Arexolaleiba, Nestor; Izaguirre Altuna, Alberto

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Título

Labor Induction failure prediction based on B-Mode Ultrasound Image Processing using Multiscale Local Binary Patterns

Otras instituciones

Universidad Nacional de Ingeniería (Nicaragua)
BioCruces Health Research Institute

Versión

Postprint

Derechos

Acceso

Acceso abierto

URI

https://hdl.handle.net/20.500.11984/5929

Versión del editor

https://doi.org/10.1109/OPTIP.2016.7528513

Publicado en

Proceedings International Conference on Optoelectronics and Image Processing (ICOIP). Warsaw. 10-12 June. IEEE, 2016

Editor

IEEE

Palabras clave

Component Texture Analysis
Cervix
Local Binary Patterns

Resumen

Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risks of labor induction as it occurs in about 20% of the inductions. A ripe cervix (soft and distensible) is needed for a successful labor. Changes occurring during the ripening process, will affect the interaction between cervical tissues and sound waves during ultrasound transvaginal scanning and will be perceived as gray level intensity variations in the echography image. Thus, a non-invasive method using image processing of ultrasound images may help in predicting the outcome of labor induction. [-]