An Edge Detection Method for Suspicious Local Regions in CT images with Jaxtapleural Nodules

摘要：

　　Juxtapleural lung nodules are often excluded from the lung region in many CT image processing algorithms which are based on intensity information.For solving this problem,a suspicious edge line detection algorithm is proposed to obtain the edge line of the suspicious local lung region in this manuscript.Firstly,the lung region in the CT image is extracted by a fixed threshold.Then a SIFT algorithm is used to detect the feature point in the lung region.To filter out the useless feature points,a closest point matching method is used.Then a K-mean method is introduced to divide those feature points into several parts in which the edges of juxtapleural Lung nodules are contained.Experiments over CT slices show that the proposed method has a great performance in detecting the edge line of suspicious regions.

作者: Changli Feng Haiyan Wei Min Li Xin Li Min Ding

作者单位: Department of Information Science and Technology,Taishan University,271021 Taian,China Department of Teachers and Education,Taishan University,271021 Taian,China Imaging Department,Taian No.1 Peoples Hospital,Taian 271021,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）