Rib suppression in chest radiographs for lung nodule enhancement | |
Li XC; Luo SH; Hu QM; Li JM; Wang DD | |
2015 | |
会议名称 | Proceeding of the 2015 IEEE International Conference on Information and Automation |
会议地点 | Lijiang |
英文摘要 | Lung cancer is one of the malignant tumors with the fastest increasing speed of incidence and death rate. It appears in the form of spherical nodules in a conventional radiograph. However, some lung nodules are not be able to be detected due to their overlap with normal anatomic structures such as ribs and clavicles. In this paper, a rib suppression method based on principle component analysis (PCA) is presented to improve the visibility of lung nodules. Firstly, the rib models are built by using PCA; secondly, the pixel intensity of background is calculated and added to the subtracted image of original image and rib model to recover the original brightness; finally, the border of ribs is detected and smoothed. The JSRT database and dual-energy images were employed to evaluate the rib suppression method. The experiment indicates that when the method is applied on the test images, the ribs can be suppressed substantially. The proposed rib suppression method can improve the visibility of tumor in lung field. |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/7232] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | 2015 |
推荐引用方式 GB/T 7714 | Li XC,Luo SH,Hu QM,et al. Rib suppression in chest radiographs for lung nodule enhancement[C]. 见:Proceeding of the 2015 IEEE International Conference on Information and Automation. Lijiang. |
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