Analysis of evolving processes in pulmonary nodules using a sequence of three-dimensional thoracic images

摘要

This paper presents a method to analyze volume evolutions of pulmonary nodules for discrimination between malignant and benign nodules. Our method consists of four steps; The 3D rigid registration of the two successive 3D thoracic CT images, the 3D affine registration of the two successive region-of-interest (ROI) images, non rigid registration between local volumetric ROIs, and analysis of the local displacement field between successive temporal images. In preliminary study, the method was applied to the successive 3D thoracic images of two pulmonary lesions including a metastasis malignant case and an inflammatory benign to quantify the evolving process in the pulmonary nodules and surrounding structure. The time intervals between successive 3D thoracic images for the benign and malignant cases were 120 and 30 days, respectively. From the display of the displacement fields and the contrasted image by the vector field operator based on the Jacobian, it was observed that the benign case reduced in the volume and the surrounding structure was involved into the nodule in the evolution process. It was also observed that the malignant case expanded in the volume. These experimental results indicate that our method is a promising tool to quantify how the lesions evolve their volume and surrounding structures.