계곡 추적 Deformable Model을 이용한 반자동 척추뼈 분할 도구의 개발
Developments of Semi-Automatic Vertebra Bone Segmentation Tool using Valley Tracking Deformable Model
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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.
참고문헌 (9)
- A. Neumann, "Statistical shape model based segmentation of medical images", 22(2), pp.133~143 (1998)
- C. Lorenz, "3D statistical shape models for medical image segmentation", pp.414~423 (1999)
- P.P. Smyth, "Automatic measurement of vertebral shape using active shape model", 15, pp.575~581 (1997)
- J. Weese, "Shape constrained deformable models for 3D medical image segmentation", pp.380~2082 387 (2001)
- M.G. Roberts, "Automatic segmentation of lumbar vertebrae on digital radiographs using linked active appearance models", 2, pp.120~124 (2006)
- J. Weese, "Shape constrained deformable models for 3D medical image segmentation", pp.380~387
- A.W.M. Smeulders, "Combining strings and necklaces for interactive three-dimensional segmentation of spinal images using an integral deformable spine model", 51(10) (2004)
- J. Kaminskya, "Specially adapted interactive tools for an improved 3D-segmentation of the spine", 28, pp.119~127 (2004)
- P. Maragos, "Morphological filtering for image enhancement and detection", pp.135~156 (2005), Academic Press