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

Misael Reyes López; Fernando Arámbula Cosío

doi:10.1117/12.2285915

17 November 2017 Statistical shape (ASM) and appearance (AAM) models for the segmentation of the cerebellum in fetal ultrasound

Misael Reyes López, Fernando Arámbula Cosío

Author Affiliations +

Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720Q (2017) https://doi.org/10.1117/12.2285915
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia

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.

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Misael Reyes López and Fernando Arámbula Cosío "Statistical shape (ASM) and appearance (AAM) models for the segmentation of the cerebellum in fetal ultrasound", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720Q (17 November 2017); https://doi.org/10.1117/12.2285915

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