Segmentation of the nuchal fold in fetal ultrasound images
Por:
Velasquez, Gustavo, Arambula Cosio, Fernando, Medina, Veronica, Escalante, Boris, Camargo, Lisbeth, Guzman, Mario
Publicada:
1 ene 2017
Resumen:
The thickness of the nuchal fold is one of the main markers for the detection of Down syndrome during the second trimester of pregnancy. In this paper are reported our preliminary results of the automatic segmentation and measurement of the nuchal fold thickness in ultrasound images of the fetal brain. The method is based on a 2D active shape model used to segment the brain structures involved in the measurement of the nuchal fold: cerebellum; brain midline; the outer edge of the occipital plate; and the outer skin edge. The algorithm was trained and tested in 10 different ultrasound images, using leave one out cross validation. We have obtained an average difference of 0.23 mm from the expert measurement of the nuchal fold, with a standard deviation of 0.1 mm. © 2017 SPIE.
Filiaciones:
Velasquez, Gustavo:
Univ Nacl Autonoma Mexico, Ctr Ciencias Aplicadas & Desarrollo Tecnol, Biomed Imaging Lab, Ciudad De Mexico, Mexico
Arambula Cosio, Fernando:
Univ Nacl Autonoma Mexico, Ctr Ciencias Aplicadas & Desarrollo Tecnol, Biomed Imaging Lab, Ciudad De Mexico, Mexico
Medina, Veronica:
Univ Autonoma Metropolitana, Dept Elect Engn, Neuroimaging Lab, Iztapalapa, Ciudad De Mexic, Mexico
Escalante, Boris:
Univ Nacl Autonoma Mexico, Fac Engn, Adv Image Proc Lab, Mexico City, DF, Mexico
Camargo, Lisbeth:
Natl Perinatol Inst, Ciudad De Mexico, Mexico
Guzman, Mario:
Natl Perinatol Inst, Ciudad De Mexico, Mexico
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