Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images
Jeongjin Lee, Kyoung Won Kim, So Yeon Kim, Juneseuk Shin, Kyung Jun Park, Hyung Jin Won, Yong Moon Shin · Journal of X-Ray Science and Technology · 2015
BACKGROUND: Multi-phase CT images are obtained sequentially after the injection of contrast agents so that there is a large amount of local deformation between images due to the respiratory and heart motion. Therefore, a non-rigid registration technique is required in order to establish the anatomical correspondence between the multi-phase CT images for liver CAD (computer-aided diagnosis). OBJECTIVE: In this paper, we propose the automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase CT images. METHODS: Global movements between multi-phase CT images are aligned by rigid registration based on normalized mutual information. Local deformations between multi-phase CT images are modeled by non-rigid registration based on B-spline deformable model. After the registration of multi-phase CT images, hepatocellular carcinomas are automatically detected by analyzing the original and subtraction information of the registered multi-phase CT images. RESULTS: We applied our method to twenty five multi-phase CT datasets. Experimental results showed that the multi-phase CT images were accurately aligned. All of the hepatocellular carcinomas including small size ones in our 25 subjects were accurately detected using our method. CONCLUSION: We conclude that our method is useful for detecting hepatocellular carcinomas.