Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

Developments of Semi-Automatic Vertebra Bone Segmentation Tool using Valley Tracking Deformable Model

계곡 추적 Deformable Model을 이용한 반자동 척추뼈 분할 도구의 개발

  • Kim, Yie-Bin (School of Electronic Engineering, college of IT, Soongsil University) ;
  • Kim, Dong-Sung (School of Electronic Engineering, college of IT, Soongsil University)
  • 김예빈 (숭실대학교 IT대학 정보통신전자공학부) ;
  • 김동성 (숭실대학교 IT대학 정보통신전자공학부)
  • Published : 2007.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper proposes a semiautomatic vertebra segmentation method that overcomes limitations of both manual segmentation requiring tedious user interactions and fully automatic segmentation that is sensitive to initial conditions. The proposed method extracts fence surfaces between vertebrae, and segments a vertebra using fence-limited region growing. A fence surface is generated by a deformable model utilizing valley information in a valley emphasized Gaussian image. Fence-limited region growing segments a vertebra using gray value homogeneity and fence surfaces acting as barriers. The proposed method has been applied to ten patient data sets, and produced promising results accurately and efficiently with minimal user interaction.

Keywords

References

  1. A. Neumann, C. Lorenz, 'Statistical shape model based segmentation of medical images,' Computerized Medical Imaging and Graphics, vol. 22, no. 2, pp.133-143, 1998 https://doi.org/10.1016/S0895-6111(98)00015-9
  2. C. Lorenz, N. Krahnstover, '3D statistical shape models for medical image segmentation,' in Proc. 3-D Digital Imaging and Modeling Second International Conference, 1999, pp.414-423
  3. P.P. Smyth, C.J. Taylor, and J.E. Adams, 'Automatic measurement of vertebral shape using active shape model,' Image and Vision Computring, vol. 15, pp.575-581, 1997 https://doi.org/10.1016/S0262-8856(97)00006-1
  4. J. Weese, M. Kaus, C.Lorenz, S. Lobregt, R. Truyen, and V. Pekar, 'Shape constrained deformable models for 3D medical image segmentation,' IPMI2001, LNCS 2082, pp.380-387, 2001
  5. M.G. Roberts, T.F. Cootes, and J.E. Adams, 'Automatic segmentation of lumbar vertebrae on digital radiographs using linked active appearance models,' in Proc.Medical Image Understanding and Analysis, vol. 2, 2006, pp.120-124
  6. J. Weese, M. Kaus, C. Lorenz, S. Lobregt, R. Truyen, and V. Pekar, 'Shape constrained deformable models for 3D medical image segmentation,' IPMI2001, LNCS 2082, pp.380-387, 2001
  7. Ghebreab, A.W.M. Smeulders, 'Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an integral deformable spine model,' IEEE Transactions on Biomedical Engineering, vol. 51, no. 10, pp.1821-1829, Oct. 2004 https://doi.org/10.1109/TBME.2004.831540
  8. J. Kaminskya, P. Klingeb, T.Rodt, M. Bokemeyer, W. Luedemann, and M. Samii, 'Specially adapted interactive tools for an improved 3D-segmentation of the spine,' Computer Medical Imaging and Graphics, vol. 28, pp.119-127, 2004 https://doi.org/10.1016/j.compmedimag.2003.12.001
  9. P. Maragos, L.F.C. Pessoa, 'Morphological filtering for image enhancement and detection,' Image and Video Processing Handbook 2nd edition, Academic Press, 2005, pp. 135-156