Abstract

VELASQUEZ RODRIGUEZ, G. et al. Automatic Segmentation of the Cerebellum in Ultrasound Volumes of the Fetal Brain. Rev. mex. ing. bioméd [online]. 2015, vol.36, n.2, pp.121-129. ISSN 2395-9126.  https://doi.org/10.17488/RMIB.36.2.4pdf.

The size of the cerebellum in ultrasound volumes of the fetal brain has shown a high correlation with gestational age, which makes it a valuable feature to detect fetal growth restrictions. Manual annotation of the 3D surface of the cerebellum in an ultrasound volume is a time consuming task, which needs to be performed by a highly trained expert. In order to assist the experts in the evaluation of cerebellar dimensions, we developed an automatic scheme for the segmentation of the 3D surface of the cerebellum in ultrasound volumes, using a spherical harmonics model. In this work we present our validation results on 10 ultrasound volumes in which we have obtained an adequate accuracy in the segmentation of the cerebellum (mean Dice coefficient of 0.689). The method reported shows potential to effectively assist the experts in the assessment of fetal growth in ultrasound volumes.

Keywords : 3D fetal ultrasound segmentation; fetal cerebellum; statistical shape models; spherical harmonics.

        · abstract in Spanish     · text in English     · English ( pdf )