基于肋骨信息的CT图像肺区疑似粘连肿瘤检测  

Detection of suspicious attached lung nodule based on rib information

作　　者：喻忠全[1] 张建州[1] 

机构地区：[1]四川大学计算机学院,成都610065

出　　处：《计算机工程与应用》2008年第3期202-204,共3页Computer Engineering and Applications

基　　金：国家自然科学基金( the National Natural Science Foundation of China under Grant No.60371024)

摘　　要：在计算机辅助CT图像肺部肿瘤诊断系统中,当肺区内部存在较大粘连肿瘤时,将导致分割出来的肺区存在较大的缺陷,因而在肺区内部就无法识别粘连肿瘤。利用肋骨轮廓与肺区轮廓形状相似的特性,先用三次立方样条曲线拟合出肋骨的内部轮廓,然后根据肋骨轮廓图与肺区轮廓图找出可疑粘连肿瘤的种子点,最后将肋骨轮廓图与肺区图相结合进行区域生长找到疑似粘连肿瘤。实验结果表明该方法能有效的从CT图像中分割出疑似粘连肿瘤。When existing a relatively large juxta-pleural nodule in lung CT image,because of the lacunas in the segmented lung,the attached nodules may not be distinguishable from the lung.However,since there exist some similarities between the lung’s flank outline area and the rib contours,we can find the growth points of suspicious nodules more precisely by using cubic spline to fit the rib contours at first,then apply regional growth to the combined lung contour image and the rib contour image.The experiment result shows this algorithm can cut the juxta-pleural lung nodules from the CT chest image more effectively.

关 键 词：CT图像 肺区 疑似粘连肿瘤 肋骨轮廓 样条拟合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]