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Automatic Segmentation of the Catheter in X-ray Angiography Images using Gradient Information and Mode
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X-선 혈관조영영상에서 기울기 정보와 최대 빈도수를 이용한 카테터 자동 분할

논문 기본 정보

Type
Proceeding
Author
Jung A Baek (서울여자대학교) Min Jin Lee (서울여자대학교) Helen Hong (서울여자대학교)
Journal
Korean Institute of Information Scientists and Engineers 한국정보과학회 학술발표논문집 Vol.37 No.1C
Published
2010.6
Pages
458 - 462 (5page)

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Automatic Segmentation of the Catheter in X-ray Angiography Images using Gradient Information and Mode
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본 논문은 X선 혈관조영영상에서 기울기 정보 및 최대 빈도수를 이용한 카테터 자동 분할 방법을 제안한다. 제안방법은 세 단계로 이루어진다. 첫째, 분할하고자 하는 카테터 관심영역을 설정하고, 영상의 대조대비를 높이기 위한 밝기값 스트레칭을 수행한다. 둘째, 카테터 후보 경계점을 추출하기 위하여 카테터 방향을 고려한 경계 강조 마스크를 영상에 적용한다. 셋째, 카테터 후보 경계점에서 기울기가 크고 최대 빈도수 직경을 갖는 카테터 경계점을 추출하고 이들을 선형 보간하여 최종 카테터 경계를 분할한다. 제안 방법의 평가를 위하여 육안 평가 및 전문가가 수동 분할한 결과와 본 제안방법을 적용하여 얻은 중복 영역 비율과 평균 거리 차이를 측정한 정확성 평가를 수행하였고, 수행시간을 측정하였다. 실험 결과 중복 영역 비율은 93.9%±2.7%, 평균 거리 차이는 0.116-픽셀, 수행시간은 평균 0.011초로 측정되었다.

Contents

요약
1. 서론
2. 관심 영역 내 기울기 정보와 최대 빈도수를 이용한 카테터 자동 분할
3. 실험 및 결과
4. 결론
참고문헌

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UCI(KEPA) : I410-ECN-0101-2010-569-003118942