Validación de un algoritmo robusto para la estimación del movimiento en secuencias de imágenes cardiacas

Authors

  • Rubén Medina Universidad de Cuenca
  • Emiro Ibarra
  • Villie Morocho
  • Pablo Vanegas

Abstract

RESUMEN
Este artículo describe la validación n de un algoritmo de flujo óptico basado en esparcidad. Para ello se utilizan dos secuencias de imágenes extraídas de la base de datos Sintel y también imágenes extraídas de una secuencia de imágenes de resonancia magnética etiquetada, las cuales representan una capa el ventrículo izquierdo ubicadas en la zona media y de acuerdo a la orientación de eje corto. Los resultados son prometedores debido a que el error de magnitud promedio para las secuencias de la base de datos Sintel es menor a 3 pixels y menor de 1 mm para las imágenes de resonancia magnética etiquetada.
Palabras clave: Flujo óptico, movimiento cardiaco, imágenes médicas, resonancia magnética etiquetada, base de datos Sintel.

ABSTRACT
This paper describes the validation of a sparse based optical flow algorithm using two sequences extracted from the Sintel database and also images extracted from a tagged magnetic resonance image sequence representing a short–axis slice located at the mid-wall of the left ventricle. Results are promising as the average magnitude error for the Sintel sequences is lower than 3 pixels and lower than 1 mm for the tagged MRI.
Keywords: Optical flow, cardiac motion, medical imaging, tagged MRI, Sintel database.

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Published

2015-12-05

How to Cite

Medina, R., Ibarra, E., Morocho, V., & Vanegas, P. (2015). Validación de un algoritmo robusto para la estimación del movimiento en secuencias de imágenes cardiacas. Maskana, 6(Supl.), 37–43. Retrieved from https://publicaciones.ucuenca.edu.ec/ojs/index.php/maskana/article/view/696

Issue

Vol. 6 (2015): Proceedings of the 3rd. Ecuadorian Congress of Information and Communication Technologies - TIC.EC 2015

Section

Actas

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