Semi-Automatic Detection of Cervical Vertebrae in X-ray Images Using Generalized Hough Transform

被引：0

作者：

Larhmam, Mohamed Amine ^{[1
]}

Mahmoudi, Said ^{[1
]}

Benjelloun, Mohammed ^{[1
]}

机构：

[1] Univ Mons, Fac Engn, B-7000 Mons, Belgium

来源：

2012 3RD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS | 2012年

关键词：

Medical imaging; Vertebrae detection; X-ray image; Hough Transform; Template matching;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Vertebra detection presents the first step of any automatic spinal column diagnosis. This task becomes more difficult in the case of the cervical X-ray images characterized by their low contrasts and noise due to skull bones. In this paper, we describe an efficient modified template matching method for detecting cervical vertebrae using Generalized Hough Transform (GHT). The proposed method consists of three main steps toward vertebrae detection: 1) Offline training to obtain a robust average model of cervical vertebra. 2) Detecting the potential vertebra centers. 3) Adaptive Post-processing filter. X-ray Image data of 40 healthy cases were used to validate our approach by using a total of 200 cervical vertebrae. We obtained an accuracy of 89%.

引用

页码：396 / 401

页数：6

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