Share Email Print
cover

Proceedings Paper

Curvature constraint based image reconstruction for limited-angle computed tomography
Author(s): Xiao Xue; Shusen Zhao; Yunsong Zhao; Peng Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Compared with traditional CT with full angular scan, limited-angle CT has advantages in scanning plateshaped objects and reducing imaging dose. But image reconstruction from limited-angle CT is challenging, because the acquired data are not complete. In this abstract, we proposed an imaging model for limited-angle CT, which is an extension of our previous work, where edge information is used to recover the blurred image edges and the distorted gray values of non-edge points. The new model introduces an extra curvature term in the objective function to constraint the length of the edges of the object and thus eliminates the possible jagged artifacts in the images reconstructed with the model proposed earlier. Numerical experiments with real data verify the effectiveness of the proposed imaging model and the corresponding reconstruction algorithm.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722L (28 May 2019); doi: 10.1117/12.2534824
Show Author Affiliations
Xiao Xue, Capital Normal Univ. (China)
Shusen Zhao, Capital Normal Univ. (China)
Yunsong Zhao, Capital Normal Univ. (China)
Peng Zhang, Capital Normal Univ. (China)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray