Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
권호 표지
DOI QR코드

DOI QR Code

Microcalcification Detection Based on Region Growing Method with Contrast and Edge Sharpness in Digital X-ray Mammographic Images

명암 대비와 에지 선예도를 이용하는 영역 성장법에 의한 디지털 X선 맘모그램 영상에서의 미세 석회화 검출

  • Won, C.H. (Dept. of Compute Control Eng., Kyungil University) ;
  • Kang, S.W. (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Cho, J.H. (School of Electrical Engineering and Computer Science, Kyungpook National University)
  • 원철호 (경일대학교 제어계측공학과) ;
  • 강신원 (경북대학교 전자전기컴퓨터학부) ;
  • 조진호 (경북대학교 전자전기컴퓨터학부)
  • Published : 2004.01.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we proposed the detection algorithm of microcalcification based on region growing method with contrast and edge sharpness in digital X-ray mammographic images. We extracted the local maximum pixel and watershed regions by using watershed algorithm. Then, we used the mean slope between local maximum and neighborhood pixels to extract microcalcification candidate pixels among local maximum pixels. During increasing threshold value to grow microcalcification region, at the maximum threshold value of the contrast and edge sharpness, the microcalcification area is decided. The regions of which area of grown candidate microcalfication region is larger than that of watershed region are excluded from microcalcifications. We showed the diagnosis algorithm can be used to aid diagnostic-radiologist in the early detection breast cancer.

Keywords

References

  1. B.S. Monsees, 'Evaluation of breast microcalcification,' Radiologic Clinics of North America, vol. 33, pp. 1109-1121, 1995
  2. F.F. Hall, 'Mammogrhphy in the diagnosis of in situ breast carcinoma,' Radiology, vol. 168, pp. 279-280, 1988 https://doi.org/10.1148/radiology.168.1.3380974
  3. 양윤석, 김덕원, 김은경, '통계적 패턴 분류법과 패턴 매칭을 이용한 유방 영상의 미세석회화 검출,' 의공학회지 , vol. 18, no. 3, pp. 357-363, 1997
  4. 김종국, 박정미, 송군식, 박현욱, "X-선 유방영상에서 텍스처 분석과 신경망을 이용한 군집성 미세석 회화의 컴퓨터 보조 검출,' 의공학회지, vol. 19, no. 1, pp. 1-7, 1998
  5. L. Shen and R.M. Rangayyan, 'Application of shape analysis to mammographic calcifications,' IEEE Trans. on Medical Imaging, vol. 13, pp. 263-274, 1994 https://doi.org/10.1109/42.293919
  6. T.C. Wang and N.B. Karayiannis, 'Detection of microcalcifications in digital mammograms using wavelets,' IEEE Trans. on Medical Imagine, vol 17, no. 4, pp. 498-509, Aug. 1998 https://doi.org/10.1109/42.730395
  7. S.A. Hojjatoleslami and J. Kittler, 'Automatic detection of calcification in mammograms,' Image processing and its Application, pp. 139-145, July 1995
  8. W. Qian and L.P. Clarke, 'Computer assisted diagnosis for digital mammography,' IEEE Engineering in Medicine and Biology Magazine, vol. 10, pp. 561-569, 1995
  9. G.M. Brake and N. Karssemeijer, 'Single and multiscale detection of masses in digital mammograms,' IEEE Trans. on Medical Imagine, vol. 18, no. 7, pp. 628-639, Jul. 1999. https://doi.org/10.1109/42.790462
  10. N. Petrick, H.P. Chan, B. Sahiner, and D.Wei, 'An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection,' IEEE Trans on Medical Imaging, vol. 15, no. 1, pp. 59-67, Feb. 1996 https://doi.org/10.1109/42.481441
  11. K. Haris, S.N. Efstratadis, N. Maglaveras, and A.K. Katsaggelos, 'Hybrid image segmentation using water- sheds and fast region mering,' IEEE trans. on image Processing, vol. 7, no. 12, pp. 1684-1699, Dec. 1998 https://doi.org/10.1109/83.730380
  12. I.N. Backman, T. Nizialek, I. Simon, O.B. Gatewood, I.N. Weinberg, and W.R. Brody, 'Segmentation Algorithms for detecting microcalcifications in mammograms,' IEEE Trans. on Information Technology in Biomedicine, vol. 1, no. 2, June 1997
  13. R.C. Gonzalez and R.E. Woods, Digital image processine, Prentice Hall, 2001
  14. M. Sonka, V. Hlavac, R. Boyle, Image processing, analysis, and machine vision, Brooks/Cole, 2001