A NEW SEMI-AUTOMATIC APPROACH FOR X-RAY CERVICAL IMAGES SEGMENTATION USING ACTIVE SHAPE MODEL

被引：0

作者：

Benjelloun, Mohammed ^{[1
]}

Mahmoudi, Said ^{[1
]}

Lecron, Fabian ^{[1
]}

机构：

[1] Univ Mons, Fac Engn, 9 Rue Houdain, Mons, Belgium

来源：

BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | 2010年

关键词：

Segmentation; Vertebrae; Active shape model; Edges;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper describes a new method for cervical vertebra segmentation in digitized X-ray images. We propose a segmentation approach based on Active Shape Model method whose main advantage is that it uses a statistical model. This model is created by training it with sample images on which the boundaries of the object of interest are annotated by an expert. The specialist knowledge is very useful in this context. This model represents the local statistics around each landmark. Our application allows the manipulation of a vertebra model. The results obtained are very promising.

引用

页码：501 / 506

页数：6

共 14 条

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