Automatic detection method of hepatocellular carcinomas using the non-rigid registration method of multi-phase liver CT images

作者：Lee Jeongjin; Kim Kyoung Won^*; Kim So Yeon; Shin Juneseuk; Park Kyung Jun; Won Hyung Jin; Shin Yong Moon

来源：Journal of X-Ray Science and Technology, 2015, 23(3): 275-288.

DOI：10.3233/XST-150487

• Multi-phase liver CT
• hepatocellular carcinoma
• rigid registration
• non-rigid registration
• normalized mutual information
• B-spline deformable model
• cancer detection

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.

• 出版日期2015