ISSN 1004-4140
CN 11-3017/P
李亚光,李洁,薛廷玉,等. 基于PSNR和SSIM方法评估双能量CT肝脏虚拟平扫图像质量研究[J]. CT理论与应用研究(中英文),xxxx,x(x): 1-7. DOI: 10.15953/j.ctta.2024.151.
引用本文: 李亚光,李洁,薛廷玉,等. 基于PSNR和SSIM方法评估双能量CT肝脏虚拟平扫图像质量研究[J]. CT理论与应用研究(中英文),xxxx,x(x): 1-7. DOI: 10.15953/j.ctta.2024.151.
LI Y G, LI J, XUE T Y, et al. Assessment of the Image Quality of Virtual Non-Contrast Dual-Energy CT Liver Scans Using Both PSNR and SSIM Methods[J]. CT Theory and Applications, xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2024.151. (in Chinese).
Citation: LI Y G, LI J, XUE T Y, et al. Assessment of the Image Quality of Virtual Non-Contrast Dual-Energy CT Liver Scans Using Both PSNR and SSIM Methods[J]. CT Theory and Applications, xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2024.151. (in Chinese).

基于PSNR和SSIM方法评估双能量CT肝脏虚拟平扫图像质量研究

Assessment of the Image Quality of Virtual Non-Contrast Dual-Energy CT Liver Scans Using Both PSNR and SSIM Methods

  • 摘要: 目的:采用峰值信噪比(PSNR)和结构相似性指数(SSIM)联合图像评价方法,探讨双能量CT的肝脏虚拟平扫(VNC)图像替代真实平扫(TNC)图像的可行性。方法:前瞻性分析33例肝脏CT平扫及三期双能量增强扫描的影像学资料。经后处理获得动脉期VNC图像(VNCa)、静脉期VNC图像(VNCv)及延迟期VNC图像(VNCd)。将肝脏三期VNC图像与TNC图像应用PNSR和SSIM方法进行整体及局部比对分析。测量肝脏及竖脊肌的CT值与噪声值(SD),计算信噪比(SNR)和对比噪声比(CNR),记录肝脏真实CT平扫及增强扫描的剂量长度乘积,比较三期VNC与TNC图像质量的客观评价指标及辐射剂量,并绘制肝脏CT值、SNR和CNR的Bland-Altman散点图进行一致性分析。结果:整体图像评价三期VNC与TNC图像比对的PSNR分别为18.01±1.06、18.33±0.99、18.20±1.04,SSIM分别为0.76±0.04、0.77±0.03、0.78±0.04;局部图像评价三期VNC与TNC图像比对的PSNR为29.90±2.50、30.97±2.34、30.61±2.76,SSIM为0.75±0.04、0.77±0.03、0.77±0.04;三期VNC与TNC图像整体及局部比对的PSNR、SSIM的差异没有统计学意义(均P>0.05)。三期VNC的肝脏CT值高于TNC(均P<0.05);三期VNC的CNR及VNCv的SNR与TNC图像相比无统计学差异(P>0.05);肝脏CT值、SNR及CNR在三期VNC与TNC图像之间均具有良好的一致性。去除真实平扫环节,采用VNC+三期增强方案可降低约29.63%的辐射剂量。结论:双能量CT的肝脏VNC图像具有良好的图像质量,可以较真实地还原TNC图像,满足临床的诊断需求。

     

    Abstract: The purpose of this study was to investigate the feasibility of replacing true non-contrast (TNC) dual-energy computed tomography (DECT) images with virtual non-contrast (VNC) DECT images by comparing their quality on the basis of both the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM). Methods: A prospective analysis was conducted on TNC and enhanced three-phase DECT images of the livers of 33 patients. Post-processing was used to obtain the arterial-phase VNC, venous-phase VNC (VNCv), and delayed-phase VNC images. Both the PSNR and SSIM methods were used to compare the overall and local TNC and three-phase VNC images. The CT numbers and noise values (standard deviation) of the liver and erector spinae muscle were measured, and the SNR and contrast-to-noise ratio (CNR) were calculated. The dose length product values of the TNC and enhanced three-phase VNC scans were recorded, and the objective evaluation indicators and radiation doses of the three-phase VNC and TNC images were compared. Bland-Altman scatter plots were drawn to analyze the consistency of the liver CT numbers, SNRs, and CNRs. Results: The overall comparison of the three-phase VNC and TNC images showed PSNR values of 18.01±1.06, 18.33±0.99, and 18.20±1.04 and SSIM values of 0.76±0.04, 0.77±0.03, and 0.78±0.04, with the differences being not statistically significant (all P > 0.05). The local comparison of these images showed PSNR values of 29.90±2.50, 30.97±2.34, and 30.61±2.76 and SSIM values of 0.75±0.04, 0.77±0.03, and 0.77±0.04, and the differences were also not statistically significant (all P > 0.05). The CT number of the liver in the three-phase VNC image was higher than that in the TNC image (all P < 0.05). The CNR of the three-phase VNC image and the SNR of the VNCv image were not statistically different from those of the TNC image (P > 0.05), and the liver CT numbers, SNRs, and CNRs in the three-phase VNC and TNC images were highly consistent. Using the VNC+three-phase enhancement scheme can reduce the radiation dose by approximately 29.63% by removing the TNC part. Conclusion: The VNC DECT image of the liver is of good quality and can accurately reproduce the TNC image, meeting clinical diagnostic needs.

     

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