유방 초음파 영상에서 도메인 경험 지식 기반의 노이즈 필터링 알고리즘을 이용한 ROI(Region Of Interest) 추출

• 영문명: The Extraction of ROI(Region Of Interest)s Using Noise Filtering Algorithm Based on Domain Heuristic Knowledge in Breast Ultrasound Image
• 발행기관: 한국산업경영시스템학회
• 저자명: 구락조(Lock-Jo Koo) 정인성(In-Sung Jung) 최성욱(Sung-Wook Choi) 박희붕(Hee-Boong Park) 왕지남(Gi-Nam Wang)
• 간행물 정보: 『산업경영시스템학회지』제31권 제1호, 74~82쪽, 전체 9쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2008.03.30

영문 초록

  The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound image of high resolution. As a result, efficiency of noise removal is not fine enough for low resolution image. Moreover, when ultrasound image has multiple tumors, the extraction of ROI (Region Of Interest) is not accomplished or processed by a manual selection. In this paper, our method is done 4 kinds of process for noises removal and the extraction of ROI for solving problems of restrictive automated segmentation. First process is that pixel value is acquired as matrix type. Second process is a image preprocessing phase that is aimed to maximize a contrast of image and prevent a leak of personal information. In next process, the heuristic noise filter that is based on opinion of medical specialist is applied to remove noises. The last process is to extract a tumor region by using morphology techniques. As a result, the noise is effectively eliminated in all images and a extraction of tumor regions is possible though one ultrasound image has several tumors.

목차

1. 서론
2. Proposed methods
3. Result and Discussion
4. 결론
참고문헌

키워드

Image Processing Ultrasound Image Extraction of ROI Noise Removal