东南大学学报（英文版）2016，Vol.32Issue(4)：420-425,6.DOI:10.3969/j.issn.1003-7985.2016.04.005
基于先验图像约束和压缩感知的能谱X-CT图像重建
Investigation of prior image constrained compressed sensing-based spectral X-ray CT image reconstruction
摘要
Abstract
To improve spectral X-ray CT reconstructed image quality, the energy-weighted reconstructed image xWbins and the separable paraboloidal surrogates ( SPS ) algorithm are proposed for the prior image constrained compressed sensing ( PICCS)-based spectral X-ray CT image reconstruction. The PICCS-based image reconstruction takes advantage of the compressed sensing theory, a prior image and an optimization algorithm to improve the image quality of CT reconstructions. To evaluate the performance of the proposed method, three optimization algorithms and three prior images are employed and compared in terms of reconstruction accuracy and noise characteristics of the reconstructed images in each energy bin. The experimental simulation results show that the image xWbins is the best as the prior image in general with respect to the three optimization algorithms; and the SPS algorithm offers the best performance for the simulated phantom with respect to the three prior images. Compared with filtered back-projection ( FBP) , the PICCS via the SPS algorithm and xWbins as the prior image can offer the noise reduction in the reconstructed images up to 80. 46%, 82. 51%, 88. 08% in each energy bin, respectively. Meanwhile, the root-mean-squared error in each energy bin is decreased by 15. 02%, 18. 15%, 34. 11% and the correlation coefficient is increased by 9. 98%, 11. 38%, 15. 94%, respectively.关键词
能谱X-CT/先验图像/压缩传感/优化算法/图像重建Key words
spectral X-ray CT/prior image/compressed sensing/optimization algorithm/image reconstruction分类
信息技术与安全科学引用本文复制引用
周正东,余子丽,张雯雯,管绍林..基于先验图像约束和压缩感知的能谱X-CT图像重建[J].东南大学学报（英文版）,2016,32(4):420-425,6.基金项目
The National Natural Science Foundation of China ( No.51575256), the Fundamental Research Funds for the Central Uni-versities ( No. NP2015101, XZA16003), the Priority Academic Program Development of Jiangsu Higher Education Institutions ( PAPD) （ No.51575256）
