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논문 기본 정보

자료유형
학술대회자료
저자정보
Suguru Sato (Kyushu Institute of Technology) Huimin Lu (Kyushu Institute of Technology) Hyoungseop Kim (Kyushu Institute of Technology) Seiichi Murakami (University of Occupational and Environmental Health) Midori Ueno (University of Occupational and Environmental Health) Takashi Terasawa (University of Occupational and Environmental Health) Takatoshi Aoki (University of Occupational and Environmental Health)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2018
발행연도
2018.10
수록면
1,329 - 1,332 (4page)

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초록· 키워드

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In recent years, the development of the computer-aided diagnosis (CAD) systems to support radiologist is attracting attention in medical research field. One of them is temporal subtraction technique. It 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) automatic segmentation of the region of interest (ROI) using position information of the spine based on biology, 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 registration technique on synthetic data and confirm usefulness of the proposed method. Furthermore, radiologist conduct comparative experiments without and with temporal subtraction images created by proposed method. As a result, they show high reading performance by using temporal subtraction images.

목차

Abstract
1. INTRODUCTION
2. METHODS
3. EXPERIMENTAL RESULTS
4. CONCLUSIONS
5. ACKNOWLEDGEMENT
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UCI(KEPA) : I410-ECN-0101-2018-003-003539933