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유방암 환자의 감시림프절 생검을 위한 림포신티그라피와 실사영상의 합성

Image Fusion of Lymphoscintigraphy and Real images for Sentinel Lymph Node Biopsy in Breast Cancer Patients

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초록

This paper presents a method that registers a lymphoscintigraphy to the real image captured by a CMOS camera, which helps surgeons to easily and precisely detect sentinel lymph nodes for sentinel lymph node biopsy in breast cancer patients. The proposed method consists of two steps: pre-matching and image registration. In the first step, we localize fiducial markers in a lymphoscintigraphy and a real image of a four quadrant bar phantom by using image processing techniques, and then determines perspective transformation parameters by matching with the corresponding marker points. In the second step, we register a lymphoscintigraphy to a real images of patients by using the perspective transformation of pre-matching. To examine the accuracy of the proposed method, we conducted an experiment with a chest mock-up with radioactive markers. As a result, the euclidean distance between corresponding markers was less than 3mm. In conclusion, the present method can be used to accurately align lymphoscintigraphy and real images of patients without attached markers to patients, and then provide useful anatomical information on sentinel lymph node biopsy.

Abstract

This paper presents a method that registers a lymphoscintigraphy to the real image captured by a CMOS camera, which helps surgeons to easily and precisely detect sentinel lymph nodes for sentinel lymph node biopsy in breast cancer patients. The proposed method consists of two steps: pre-matching and image registration. In the first step, we localize fiducial markers in a lymphoscintigraphy and a real image of a four quadrant bar phantom by using image processing techniques, and then determines perspective transformation parameters by matching with the corresponding marker points. In the second step, we register a lymphoscintigraphy to a real images of patients by using the perspective transformation of pre-matching. To examine the accuracy of the proposed method, we conducted an experiment with a chest mock-up with radioactive markers. As a result, the euclidean distance between corresponding markers was less than 3mm. In conclusion, the present method can be used to accurately align lymphoscintigraphy and real images of patients without attached markers to patients, and then provide useful anatomical information on sentinel lymph node biopsy.

참고문헌 (8)

  1. 김영철, "유방암 환자 500예에서의 감시림프절 생검에 대한 고찰", 대한외과학회지, 72(4), pp.263~269 (2007), 대한외과학회
  2. 윤현조, "유방암 환자에서 방사선 동위원소를 이용한 감시림프절 생검의 유용성", 대한외과학회지, 74(3), pp.163~170 (2008), 대한외과학회
  3. 장성준, "유방암 환자에서 99mTc-Antimony Trisulfide Colloid, 99mTc-Tin Colloid, 99mTc-Human Serum Albumin을 이용한 감시림프절 매핑 성적의 비교", Nuclear Medicine and Molecular Imaging, 41(6), pp.546~552 (2007), 대한핵의학회
  4. 김양욱, "영상의 영역 분할과 이중선형 보간행렬을 이용한 멀티모달 의료 영상의 정합", 의공학회지, 30(1), pp.34~40 (2009), 대한의용생체공학회
  5. R. Gonzalez, "Digital Image Processing", Prentice Hall, ~ (2002)
  6. L.K. Huang, "Image thresholding by minimizing the measures of fuzziness", Pattern Recognition, 28(1), pp.41~51 (1995)
  7. S. Peter, "Fundamentals of Computer Graphics" (2002), A. K. Peters, Ltd
  8. 강현수, "스테레오 매칭 기법을 이용한 영상유도시술 시스템", 의공학회지, 24(4), pp.339~346 (2003), 대한의용생체공학회

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