Image Registration of Vertebral Region from CT Images Based on Salient Region Feature

In recent years, the development of the computer-aided diagnosis (CAD) systems to support radiologist is attracting attention in medical research field. Temporal subtraction technique, which is one of CAD, is a technique to generate images emphasizing temporal changes in lesions by performing a differential operation between current and previous image of the same subject. In this paper, we propose an image registration method for image registration of current and previous image, to generate temporal subtraction images from CT images and enhanced bone metastasis region. The proposed registration method is composed into three main steps: i) segmentation of the region of interest (ROI) using graph cut, ii) use global image matching to select pairs from previous and current image, and iii) final image matching based on salient region feature. We perform our proposed method to synthesis and satisfactory registration experiments. The rotated synthesis image give TP 100.0[%] and FP 12.16[%]. The synthesis image obtained by applying a Gaussian filter give TP 70.40[%] and FP 0.00[%]. The synthesis image obtained by adding artificial pseudo lesion region give TP 99.45[%] and FP 17.89[%]. The synthesis image obtained by adding random noise of 5[%], which gave TP 83.05[%] and FP 16.95[%].