[3Xin2] Poster session 1

[3Xin2-116] Learning and understanding lung structure explained by the context of radiological, anatomical, and pathological images

〇Masato Tanaka^2,1, Takeshi Hara¹, Masaki Matsusako³, Harumi Itoh^2,1 (1.Gifu University, 2.Fukui University, 3.St. Luke's International Hospital)

Keywords:Image interpretation, Image registration, Image fusion

The most commonly performed medical X-ray image is a chest X-ray image. This image combines everything from the lungs, which contain a lot of low-density air, to dense material such as the spine and heart, all in one image. Therefore, its understanding requires a concept of the anatomical structure, its function, and changes in the morphology of the area in the presence of disease. The purpose of this work is to develop a system that systematically presents specimen images and their anatomical diagrams and allows them to be viewed digitally to aid understanding. All structures depicted on the chest x-ray image are described and displayed along with the findings on the image. As a result, we were able to easily learn about anatomical structures that cannot be expressed through written information.