Image feature conversion of pathological image for registration with ultrasonic image

Abstract

In order to analyze the relationship between ultrasonic signal and tissue structure, accurate image registration is required. However, spatial resolution and image features are different between pathological and ultrasonic images. Thus, this paper proposed an image feature conversion method including downscale process using convolutional neural network. The proposed method was applied to the pathological images and we confirmed that the converted pathological images were similar to the ultrasonic images from visual assessment and image registration was also successfully conducted.