A hierarchical model for automatic nuchal translucency detection from ultrasound images

Authors:
Yinhui Deng;Yuanyuan Wang;Ping Chen;Jinhua Yu
Affiliations:
Department of Electronic Engineering, Fudan University, Shanghai 200433, China and Department of Healthcare, Philips Research Asia, Shanghai, Shanghai 200233, China;Department of Electronic Engineering, Fudan University, Shanghai 200433, China;Ultrasound Department, First Maternity and Infant Health Hospital, Shanghai 200031, China;Department of Electronic Engineering, Fudan University, Shanghai 200433, China
Venue:
Computers in Biology and Medicine
Year:
2012

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Abstract

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 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 that the optimal solution can be obtained for the NT detection. The direction problem of fetuses is resolved by the introduced ''OR'' node. The performance of the proposed model is verified by the experimental results of 690 clinical NT ultrasound images.