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Proceedings Paper

Projection super-resolution based on convolutional neural network for computed tomography
Author(s): Chao Tang; Wenkun Zhang; Ziheng Li; Ailong Cai; Linyuan Wang; Lei Li; Ningning Liang; Bin Yan
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Paper Abstract

The improvement of computed tomography (CT) image resolution is beneficial to the subsequent medical diagnosis, but it is usually limited by the scanning devices and great expense. Convolutional neural network (CNN)- based methods have achieved promising ability in super-resolution. However, existing methods mainly focus on the super-resolution of reconstructed image and do not fully explored the approach of super-resolution from projectiondomain. In this paper, we studied the characteristic of projection and proposed a CNN-based super-resolution method to establish the mapping relationship of low- and high-resolution projection. The network label is high-resolution projection and the input is its corresponding interpolation data after down sampling. FDK algorithm is utilized for three-dimensional image reconstruction and one slice of reconstruction image is taken as an example to evaluate the performance of the proposed method. Qualitative and quantitative results show that the proposed method is potential to improve the resolution of projection and enables the reconstructed image with higher quality.

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, 1107233 (28 May 2019);
Show Author Affiliations
Chao Tang, National Digital Switching System Engineering & Technological Research Ctr. (China)
Wenkun Zhang, National Digital Switching System Engineering & Technological Research Ctr. (China)
Ziheng Li, National Digital Switching System Engineering & Technological Research Ctr. (China)
Ailong Cai, National Digital Switching System Engineering & Technological Research Ctr. (China)
Linyuan Wang, National Digital Switching System Engineering & Technological Research Ctr. (China)
Lei Li, National Digital Switching System Engineering & Technological Research Ctr. (China)
Ningning Liang, National Digital Switching System Engineering & Technological Research Ctr. (China)
Bin Yan, National Digital Switching System Engineering & Technological Research Ctr. (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)

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