X-ray carpal-bone image boundary feature analysis using region statistical feature based level set method for skeletal age assessment application

• Autorzy: Lin P. , Zheng C. , Zhang F. , Yang Y.
• Języki publikacji: EN

Abstrakty

EN

Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Feature analysis of the carpal-bones can reveal the important information for skeletal age assessment. The present work in this paper faces the problem of the detection of carpal-bone features from X-ray image. A novel and effective segmentation technique is presented in this work with carpal-bone image for skeletal age estimation. Carpal-bone segmentation is a critical operation of the automatic skeletal age assessment system. This method consists of two procedures. First, the original carpal-bone image is preprocessed via anisotropic diffusion filter. Then, the carpal-bone image is segmented by region based level set method. The basic idea of the region based level set method is to add a force that takes into account the information within the regions in order to add robustness and more efficiently separate homogeneous regions. Experiments are carried out on X-ray images of carpal-bone. The experimental results show that incorporating region statistical information into the level set method, an accurate and robust segmentation can be achieved.

Słowa kluczowe

EN

carpal-bone radiograph; skeletal age (estimation); anisotropic diffusion filter; level set method; region statistical information

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2005
• Tom: Vol. 35, nr 2
• Strony: 283--294
• Opis fizyczny: Bibliogr. 16 poz., il.

Twórcy

autor

Lin P.

• Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China

autor

Zheng C.

• Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China

autor

Zhang F.

• Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China

autor

Yang Y.

• Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, 710049, P. R. China

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