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Proceedings Paper

Automatic segmentation of the fetal cerebellum using spherical harmonics and gray level profiles
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Paper Abstract

The cerebellum is an important structure to determine the gestational age, cerebellar diameter obtained by ultrasound volumes of the fetal brain has shown a high correlation with gestational age, therefore is useful to determine fetal growth restrictions. The manual annotation of 3D surfaces from the fetal brain is time consuming and needs to be done by a highly trained expert. To help with the annotation in the evaluation of cerebellar diameter, we developed a new automatic scheme for the segmentation of the 3D surface of the cerebellum in ultrasound volumes, using a spherical harmonics model and the optimization of an objective function based on gray level voxel profiles. The results on 10 ultrasound volumes of the fetal brain show an accuracy in the segmentation of the cerebellum (mean Dice coefficient of 0.7544). The method reported shows potential to effectively assist the experts in the assessment of fetal growth in ultrasound volumes. We consider the proposed cerebellum segmentation method a contribution for the SPHARM segmentations models, because it is capable to run without hardware restriction, (GPU), and gives adequate results in a reasonable amount of time.

Paper Details

Date Published: 22 December 2015
PDF: 8 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 968114 (22 December 2015); doi: 10.1117/12.2207833
Show Author Affiliations
Gustavo Velásquez-Rodríguez, Univ. Nacional Autónoma de México (Mexico)
Fernando Arámbula Cosío, Univ. Nacional Autónoma de México (Mexico)
Boris Escalate Ramírez, Univ. Nacional Autónoma de México (Mexico)

Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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