Total Variation and Tight Frame Iteration Regularization Based Image Reconstruction for Short-scanning Few-view Computer Tomography

Ru Xu

2019

Abstract

The excessive dose of the widely used X-ray computer tomography (CT) may induce potential disease. So lower radiation dose is an important direction of CT development. Short-scanning few-view CT (SSFW-CT) imaging can reduce radiation dose and scan time simultaneously. The total variation (TV) algorithm based on compressed sensing has been extensively used in CT reconstruction. The algorithm based on sparse transform is also applied to CT reconstruction, such as wavelet transform. Because of the serious discomfort with the SSFW-CT, the paper proposes a regularization iteration reconstruction algorithm method that combining total variation method and tight-frame transform, denoted TV-TFIR. The proposed method can reconstruct the details of the image more precisely. The simulation phantom and real data are used to verify the effectiveness of the proposed algorithm. The experimental results of the proposed method are more effective in both quantitative indicators and visual effects.

Paper Citation

in Harvard Style

Xu R. (2019). Total Variation and Tight Frame Iteration Regularization Based Image Reconstruction for Short-scanning Few-view Computer Tomography.In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC, ISBN 978-989-758-357-5, pages 103-110. DOI: 10.5220/0008096101030110

in Bibtex Style

@conference{ctisc19,
author={Ru Xu},
title={Total Variation and Tight Frame Iteration Regularization Based Image Reconstruction for Short-scanning Few-view Computer Tomography},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,},
year={2019},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008096101030110},
isbn={978-989-758-357-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,
TI - Total Variation and Tight Frame Iteration Regularization Based Image Reconstruction for Short-scanning Few-view Computer Tomography
SN - 978-989-758-357-5
AU - Xu R.
PY - 2019
SP - 103
EP - 110
DO - 10.5220/0008096101030110