Title :
Automated detection of fetal nuchal translucency based on hierarchical structural model
Author :
Deng, Yinhui ; Wang, Yuanyuan ; Chen, Ping
Author_Institution :
Dept. of Electron. Eng., Fudan Univ., Shanghai, China
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.
Keywords :
Gaussian processes; biomedical ultrasonics; dynamic programming; image classification; medical image processing; obstetrics; Gaussian pyramids; NT ultrasound images; discriminative classifiers; dynamic programming; fetal nuchal translucency automated detection; fetus diagnosis; generalized distance transform; hierarchical structural model; spatial model; Computational modeling; Graphical models; Head; Support vector machines; Training; Training data; Ultrasonic imaging;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-9167-4
DOI :
10.1109/CBMS.2010.6042618
