Registration of Phalange Region from CR Images Based on Genetic Algorithm
Kohei Kawagoe, Seiichi Murakami, Huimin Lu, Joo Kooi Tan, Hyoung Seop Kim, Takatoshi Aoki · International Conference on Control, Automation and Systems · 2018
In Japan, the number of patients with osteoporosis and rheumatoid arthritis is increasing. Image diagnosis using CR images is effective for osteoporosis and rheumatoid arthritis. Development of a CAD system is important for reducing burdens on doctors. In this paper, we propose an automatic registration algorithm in the CAD system. In the proposed method, the genetic algorithm is used to register bone regions between identical parts of the same subject with different time series. In the experiment, the proposed method is applied to 176 bone area, and 98.14 % of TPR, 1.85 % of FPR are obtained respectively. Even when the area difference is used as the fitness of the genetic algorithm, it has cross-correlation and positioning accuracy equivalent to mutual information.