# Image Resolution Enhancement of Highly Compressively Sensed CT/PET Signals
## 7 Results
From left to right: (**A**) LR input; (**B**) B-spline Cubic interpolation; (**C**) Non-Rigid Multi-Modal 3D Medical Image Registration Based on Foveated Modality Independent Neighbourhood Descriptor [25]; **(D**) Enhanced deep residual networks for single Image Super-Resolution [13]; (**E**) Image super-resolution using very deep residual channel attention networks [14]; (**F**) Residual dense network for Image Super-Resolution [15]; (**G**) the presented algorithm. The 3 rd and the 4 th row: the cropped and zoomed scans. \begin{table}
\begin{tabular}{l c c c c c c c c c} \hline \hline
**Reconstruction Algorithm** &
\begin{tabular}{c} **Projection Lines** \\ **[Coeff. No.]** \\ \end{tabular} & **MC** & **SRR** & **PSNR** & **MAE** & **N** & **SD** & **t(100)** & \(p\) \\ \hline ATA & 4096 & YES & NO & 29.96 & 14.22 & 100 & 0.03 & 0.383 & 0.551 \\ \hline ATA & 4096 & YES & YES & 32.92 & 12.01 & 100 & 0.02 & \(-\)0.731 & 0.101 \\ \hline FBP & 12,288 & YES & NO & 21.38 & 17.55 & 100 & 0.02 & \(-\)1.131 & 0.232 \\ \hline NAUF & 4096 & YES & NO & 28.09 & 16.44 & 100 & 0.03 & \(-\)1.031 & 0.191 \\ \hline ATA & 4096 & NO & NO & 27.36 & 17.01 & 100 & 0.03 & \(-\)1.231 & 0.231 \\ \hline NAES & 2048 & YES & NO & 27.18 & 16.55 & 100 & 0.03 & \(-\)1.332 & 0.186 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The performance of different reconstruction algorithms for Shepp–Logan phantom. \begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline
**Reconstruction Algorithm** &
\begin{tabular}{c} **Projection Lines** \\ **[Coeff. No.]** \\ \end{tabular} & **MC** & **SRR** & **PSNR** & **MAE** & **N** & **SD** & **t(100)** & \(p\) \\ \hline ATA & 4096 & YES & NO & 32.16 & 14.25 & 100 & 0.04 & 0.024 & 0.500 \\ \hline ATA & 4096 & YES & YES & 38.22 & 12.51 & 100 & 0.02 & \(-\)0.611 & 0.110 \\ \hline FBP & 12,288 & YES & NO & 24.44 & 13.66 & 100 & 0.02 & \(-\)1.115 & 0.184 \\ \hline NAUF & 4096 & YES & NO & 31.12 & 16.88 & 100 & 0.03 & \(-\)1.022 & 0.199 \\ \hline ATA & 4096 & NO & NO & 32.18 & 16.61 & 100 & 0.03 & \(-\)1.251 & 0.263 \\ \hline NAES & 2048 & YES & NO & 25.42 & 14.92 & 100 & 0.03 & \(-\)1.387 & 0.136 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Statistical parameters of the model performance metrics for Figure 6. \begin{table}
\begin{tabular}{l c c c c c c c c c} \hline \hline
**Reconstruction Algorithm** &
\begin{tabular}{c} **Projection Lines** \\ **[Coeff. No.]** \\ \end{tabular} & **MC** & **SRR** & **PSNR** & **MAE** & **N** & **SD** & **t(100)** & \(p\) \\ \hline ATA & 4096 & YES & NO & 29.96 & 14.22 & 100 & 0.03 & 0.383 & 0.551 \\ \hline ATA & 4096 & YES & YES & 32.92 & 12.01 & 100 & 0.02 & \(-\)0.731 & 0.101 \\ \hline FBP & 12,288 & YES & NO & 21.38 & 17.55 & 100 & 0.02 & \(-\)1.131 & 0.232 \\ \hline NAUF & 4096 & YES & NO & 28.09 & 16.44 & 100 & 0.03 & \(-\)1.031 & 0.191 \\ \hline ATA & 4096 & NO & NO & 27.36 & 17.01 & 100 & 0.03 & \(-\)1.231 & 0.231 \\ \hline NAES & 2048 & YES & NO & 27.18 & 16.55 & 100 & 0.03 & \(-\)1.332 & 0.186 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The performance of different reconstruction algorithms for Zubal phantom. \begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline
**Reconstruction Algorithm** &
\begin{tabular}{c} **Projection Lines** \\ **[Coeff. No.]** \\ \end{tabular} & **MC** & **SRR** & **PSNR** & **MAE** & **N** & **SD** & **t(100)** & \(p\) \\ \hline ATA & 4096 & YES & NO & 32.16 & 14.25 & 100 & 0.04 & 0.024 & 0.500 \\ \hline ATA & 4096 & YES & YES & 38.22 & 12.51 & 100 & 0.02 & \(-\)0.611 & 0.110 \\ \hline FBP & 12,288 & YES & NO & 24.44 & 13.66 & 100 & 0.02 & \(-\)1.115 & 0.184 \\ \hline NAUF & 4096 & YES & NO & 31.12 & 16.88 & 100 & 0.03 & \(-\)1.022 & 0.199 \\ \hline ATA & 4096 & NO & NO & 32.18 & 16.61 & 100 & 0.03 & \(-\)1.251 & 0.263 \\ \hline NAES & 2048 & YES & NO & 25.42 & 14.92 & 100 & 0.03 & \(-\)1.387 & 0.136 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: The performance of different reconstruction algorithms for XCAT phantom.