A Study on the 3D Reconstruction and Representation of CT Images

CT영상의 3차원 재구성 및 표현에 관한 연구

  • Published : 1994.06.01

Abstract

Many three-dimensional object modeling and display methods for computer graphics and computer vision have been developed. Recently, with the help of medical imaging devices such as computerized tomography, magnetic resonance image, etc., some of those object modeling and display methods have been widely used for capturing the shape, structure and other properties of real objects in many medical applications. In this paper, we propose the reconstruction and display method of the three-dimensional object from a series of the cross sectonal image. It is implemented by using the automatic threshold selection method and the contour following algorithm. The combination of curvature and distance, we select feature points. Those feature points are the candidates for the tiling method. As a results, it is proven that this proposed method is very effective and useful in the comprehension of the object's structure. Without the technician's responce, it can be automated.

Keywords

References

  1. C.V.G.I.P v.53 no.4 Reconstruction of 3D Medical Image : A Nonlinear Interpolation Technique for Reconstrection of 3D Medical Images Long-Wen Chang(et al.)
  2. C.V.G.I.P v.44 Shape Reconstruction form Planar Cross Sections Jean-Daniel Boissonnat
  3. C.V.G.I.P v.48 Representation, Display and Manipulation of 3D Digital Scenes and Their Medical Applications Lih-Shyang Chen
  4. IEEE Trans. on M.I. v.2 no.3 Fast Contour Detection Algorithm for High Precision Quantitative CT Peter Seitz
  5. C.V.G.I.P v.36 Volume Surface Octress for the Representation of Three-Dimenstional Objects C.H.Chien;J.K.Aggarwal
  6. 醫用電子と 生體工學 v.23 no.1 超高波心斷層像からの 左室立體像の 再構成と表示 久野義德(et al.)
  7. IEEE Trans. on PAMI v.13 no.1 Robust Contour Decomposition Using a Constant Curvature Criterion Daniel M. Wuescher;Kim L. Boyer
  8. IEEE Trans. on PAMI v.8 no.1 Scale-Based Description and Recognition of Planar Curves and Two-DimenstionalShape Farzin Mokhtarian;Alan Mackworth
  9. Digital Image Processing Rafael C. Gonzalez
  10. IEEE Trans. on SMC v.9 no.1 A Threshold Selection Method from Gray Level Histograms Nobuyaki Otsu
  11. Computer Graphics Donald Hearn(et al.)