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Proceedings Paper

Segmentation of the nuchal fold in fetal ultrasound images
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Paper Abstract

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.

Paper Details

Date Published: 26 January 2017
PDF: 5 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 1016007 (26 January 2017); doi: 10.1117/12.2256920
Show Author Affiliations
Gustavo Velásquez, Univ. Nacional Autónoma de México (Mexico)
Fernando Arámbula Cosío, Univ. Nacional Autónoma de México (Mexico)
Verónica Medina, Univ. Autónoma Metropolitana (Mexico)
Boris Escalante, Univ. Nacional Autónoma de México (Mexico)
Lisbeth Camargo, Instituto Nacional de Perinatología (Mexico)
Mario Guzmán, Instituto Nacional de Perinatología (Mexico)

Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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