지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2017.10
- 수록면
- 1,597 - 1,600 (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. 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[%].
목차
Abstract
1. INTRODUCTION
2. METHODS
3. EXPERIMENTAL RESULTS
4. CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-003-001428271