NDLI: Automated detection of fetal nuchal translucency based on hierarchical structural model

Content Provider	IEEE Xplore Digital Library
Author	Yinhui Deng Yuanyuan Wang Ping Chen
Copyright Year	2010
Description	Author affiliation: Department of Electronic Engineering, Fudan, University, Shanghai, China (Yinhui Deng; Yuanyuan Wang) \|\| Ultrasound Department, First Maternity and Infant Health Hospital, Shanghai, China (Ping Chen)
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 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.
Starting Page	78
Ending Page	84
File Size	1735064
Page Count	7
File Format	PDF
ISBN	9781424491674
ISSN	10637125
e-ISBN	9781424491681
DOI	10.1109/CBMS.2010.6042618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-12
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Head Support vector machines Ultrasonic imaging Training Training data Computational modeling Graphical models
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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