Segmentation of the nuchal fold in fetal ultrasound images

Gustavo Velásquez; Fernando Arámbula Cosío; Verónica Medina; Boris Escalante; Lisbeth Camargo; Mario Guzmán

doi:10.1117/12.2256920

26 January 2017 Segmentation of the nuchal fold in fetal ultrasound images

Gustavo Velásquez, Fernando Arámbula Cosío, Verónica Medina, Boris Escalante, Lisbeth Camargo, Mario Guzmán

Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 1016007 (2017) https://doi.org/10.1117/12.2256920
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina

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.

Citation Download Citation

Gustavo Velásquez, Fernando Arámbula Cosío, Verónica Medina, Boris Escalante, Lisbeth Camargo, and Mario Guzmán "Segmentation of the nuchal fold in fetal ultrasound images ", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 1016007 (26 January 2017); https://doi.org/10.1117/12.2256920

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