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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Un Algoritmo basado en Grafos para la Detección Automática de la Luz Arterial ...
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Vol. 10. Núm. 4.
Páginas 423-433 (octubre - diciembre 2013)
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Visitas
3438
Vol. 10. Núm. 4.
Páginas 423-433 (octubre - diciembre 2013)
Open Access
Un Algoritmo basado en Grafos para la Detección Automática de la Luz Arterial en Imágenes Ultrasonográficas
A Graph-based Algorithm for Automatic Arterial Lumen Detection in Ultrasound Imaging
Visitas
3438
Felix Calderona,
Autor para correspondencia
calderon@umich.mx

Autor para correspondencia.
, Sergio Rogelio Tinoco-Martíneza, Jaime Carranza-Madrigalb
a División de Estudios de Posgrado Facultad de Ingeniería Eléctrica
b Escuela de Enfermería y Salud Pública Universidad Michoacana de San Nicolás de Hidalgo Santiago Tapia 403 Colonia Centro Morelia, Michoacán, México C. P. 58000
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Las enfermedades cardiovasculares se han convertido en la primera causa de fallecimientos en México y en el mundo. La medición de la íntima-media carotídea y del diámetro de la luz humeral en imágenes de ultrasonido, son la base de dos de las pruebas destacadas para el diagnóstico temprano de este tipo de enfermedades. En este trabajo se presenta una metodología completamente automática para la detección de la luz arterial en ultrasonografías, necesaria en las pruebas citadas; basada en grafos y detección de bordes. El grafo se crea con los puntos intermedios entre los bordes y, su árbol de expansión mínima, permite segmentar la luz arterial correcta, aplicando sobre las rutas internas del grafo un criterio de selección de longitud y otro de obscuridad. En 294 imágenes, se obtuvo un error promedio en la detección de la interfaz entre el lumen de la arteria humeral y la capa íntima de su pared cercana de 13.9μm, con una desviación estándar de 12.3μm; y, para la misma interfaz en la pared arterial lejana, de 15.4μm, con una desviación estándar de 15.0μm. La comparación del desempeño de nuestro algoritmo se realizó contra los resultados presentados en la literatura reciente para técnicas tanto automáticas como semi-automáticas en esta área, a las cuales supera en precisión.

Palabras clave:
Detección automática
ultrasonografía
carótida
humeral
luz arterial
grafos
ajuste polinomial
Abstract

Cardiovascular diseases have become the first cause of dead in Mexico and the whole world. Intima-media thickness and brachial lumen diameter measurement in ultrasound images are the basis of two early diagnostic tests for this kind of illnesses. In this paper a methodology for automatic arterial lumen detection using ultrasound images, which is based on a graph and edge detection, is presented. The graph is created with middle points between edges and, its minimum spanning tree, is used together with decision criteria based on darkness and length, for the correct arterial lumen segmentation. In 294 images, a mean error in position detection of brachial lumen-intima interface on the near wall of 13.9μm, with a standard deviation of 12.3μm, was found; and, for same interface on the arterial far wall, mean error was of 15.4μm with a standard deviation of 15.0μm. Performance comparison of our algorithm was made against results presented in recent literature for automatic and semi-automatic techniques in this area, to whom it outperformed in accuracy.

Keywords:
Automatic detection
ultrasonography
carotid
brachial
arterial lumen
graphs
polynomial fitting
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