Automated detection of fetal nuchal translucency based on hierarchical structural model

The nuchal translucency (NT) thickness is an important parameter in the diagnosis of fetuses. The previous computerized methods often require manual operations to select the NT region, which leads to the time-consuming problem and the detection variability. In the paper, a hierarchical structural mo...

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Bibliographic Details
Main Authors: Yinhui Deng, Yuanyuan Wang, Ping Chen
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Graphical models
Head
Support vector machines
Training
Training data
Ultrasonic imaging
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Description
Summary:The nuchal translucency (NT) thickness is an important parameter in the diagnosis of fetuses. The previous computerized methods often require manual operations to select the NT region, which leads to the time-consuming problem and the detection variability. In the paper, a hierarchical structural model is proposed for the automated detection of the NT region. Three discriminative classifiers are first trained with Gaussian pyramids to represent the NT, head and body of fetuses respectively. Then a spatial model is proposed to denote the spatial constrains among them. Finally the dynamic programming and generalized distance transform are applied for the inference from the proposed model, which ensures the optimal solution can be obtained for the NT detection. The performance of the proposed model is verified by the experimental results of 345 clinical NT ultrasound images.
ISSN:1063-7125
DOI:10.1109/CBMS.2010.6042618