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Proceedings Paper

Statistical shape (ASM) and appearance (AAM) models for the segmentation of the cerebellum in fetal ultrasound
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Paper Abstract

The cerebellum is an important structure to determine the gestational age of the fetus, moreover most of the abnormalities it presents are related to growth disorders. In this work, we present the results of the segmentation of the fetal cerebellum applying statistical shape and appearance models. Both models were tested on ultrasound images of the fetal brain taken from 23 pregnant women, between 18 and 24 gestational weeks. The accuracy results obtained on 11 ultrasound images show a mean Hausdorff distance of 6.08 mm between the manual segmentation and the segmentation using active shape model, and a mean Hausdorff distance of 7.54 mm between the manual segmentation and the segmentation using active appearance model. The reported results demonstrate that the active shape model is more robust in the segmentation of the fetal cerebellum in ultrasound images.

Paper Details

Date Published:
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Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, ; doi: 10.1117/12.2285915
Show Author Affiliations
Misael Reyes López, Instituto de Investigaciones en Matemáticas Aplicadas y Sistemas (IIMAS), UNAM (Mexico)
Fernando Arámbula Cosío, Centro de Ciencias Aplicadas y Desarrollo Tecnológico (CCADET), UNAM (Mexico)


Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Natasha Lepore; Eduardo Romero; Jorge Brieva; Ignacio Larrabide, Editor(s)

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