14 March 2013 A novel adaptive 3D medical image interpolation method based on shape
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 876823 (2013) https://doi.org/10.1117/12.2010860
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
Image interpolation of cross-sections is one of the key steps of medical visualization. Aiming at the problem of fuzzy boundaries and large amount of calculation, which are brought by the traditional interpolation, a novel adaptive 3-D medical image interpolation method is proposed in this paper. Firstly, the contour is obtained by the edge interpolation, and the corresponding points are found according to the relation of the contour and points on the original images. Secondly, this algorithm utilizes volume relativity to get the best point-pair with the adaptive methods. Finally, the grey value of interpolation pixel is got by the matching point interpolation. The experimental results show that the method presented in the paper not only can meet the requirements of interpolation accuracy, but also can be used effectively in medical image 3D reconstruction.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiaxin Chen, Wei Ma, "A novel adaptive 3D medical image interpolation method based on shape", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876823 (14 March 2013); doi: 10.1117/12.2010860; https://doi.org/10.1117/12.2010860
PROCEEDINGS
6 PAGES


SHARE
Back to Top