Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Periondontal Disease Detection in Dental Radiography by ROI segment

관심영역을 이용한 치과용 방사선 영상에서의 자연치아 주위 미세변화 검출에 관한 연구

  • 안용학 (동양공업전문대학 모바일인터넷과) ;
  • 이정헌 (경희대학교 일반대학원 컴퓨터공학과) ;
  • 채옥삼 (경희대학교 전자정보학부)
  • Published : 2004.11.01
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Abstract

In this paper, we propose a medical image processing method for detection of periodontal disease. The proposed method is the method of an automatic image alignment and detection of minute changes, to overcome defects in the conventional subtraction radiography by digital image processing technique, that is necessary for getting subtraction image and ROI(Region of Interest) focused on a selection method using the structured features in target images. And the method services accuracy, consistency and objective information or data to results. In result, easily and visually we can identify minute differences in the affected parts whether they have problems or not, and using application system.

본 연구에서는 자연치아 주위 골조직의 미세 변화를 검출하는 의료영상처리 기술에 대한 방안을 제안한다. 제안된 방법은 먼저, 입력되는 두장의 디지털 방사선 영상에서 자연치아의 형태 분석을 통하여 자연치아의 외곽선 및 직선선분을 검출하고, 검출된 외곽선 및 직선선분을 이용하여 예상되는 환부영역(관심영역)을 분리한다. 분리된 환부영역을 중심으로 에지기반 정합을 통한 영상정렬을 수행함으로써 기존의 관심영역이외의 영역에서 오류 정보가 표시되는 문제점을 해결하고, 또한 기존의 수동적인 방법을 통한 결과의 객관성 및 정확성에 대한 문제를 해결하였다. 실험 결과, 신속하고 정확하게 자연치아 주위의 미세 변화에 대한 검출이 가능하였고, 보다 객관적이고 정량적인 결과를 제시할 수 있음을 보여주었다.

Keywords

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