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3-D Reconstruction of Medical Image Using Wavelet Transform and Snake Model

Authors
Publisher
ACADEMY PUBLISHER
Publication Date
Keywords
  • Medical Image Processing
  • 3-D Reconstruction
  • Wavelet Transform
  • Active Contour
Disciplines
  • Computer Science
  • Medicine

Abstract

Medical image segmentation is an important step in 3-D reconstruction, and 3-D reconstruction from medical images is an important application of computer graphics and biomedicine image processing. An improved image segmentation method which is suitable for 3-D reconstruction is presented in this paper. A 3-D reconstruction algorithm is used to reconstruct the 3-D model from medical images. Rough edge is obtained by multi-scale wavelet transform at first. With the rough edge, improved gradient vector flow snake model is used and the object contour in the image is found. In the experiments, we reconstruct 3-D models of kidney, liver and brain putamen. The performances of the experiments indicate that the new algorithm can produce accurate 3-D reconstruction.

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