Lung Fields Segmentation Algorithm in Chest Radiography

摘要：

　　Accurate segmentation of lung fields in chest radiography is an essential part of computer-aided detection. We proposed a mothod of segmentation using the feature images, gray and shape cost, and modification method. The outline of lung fields in the training set was marked and aligned to create an initial outline. Then, dynamic program was employed to determine the optimal one in terms of the gray and shape cost in the six feature images. Finally, the lung outline was modified by using the Active Shape Model. The experimental results show that the average segmentation overlaps without or with feature images achieve 82. 18% and 89. 07%, respectively. After the modification of segmentation, the average of overlap can reach 90. 26%.

关键词： feature image gray and shape cost and Active Shape Model

作者: Guodong Zhang Lin Cong Liu Wang Wei Guo

作者单位: School of Computer, Shenyang Aerospace University 110136 Shenyang, China

会议类型: 国际会议

会议名称: 9th Conference on Image and Graphics Technologies and Applications(IGTA2014)(第九届图像图形技术与应用学术会议)

会议地点: 北京

会议语种:英文

页码: 142-151

在线出版日期: 2014-06-01（万方平台首次上网日期，不代表论文的发表时间）