Table 3. Subjective image quality assessment in CCTA reconstructed with different algorithms.
| Parameter | HIR | MBIR | C-DLR | SR-DLR | P value | |||
|---|---|---|---|---|---|---|---|---|
| All | HIR vs. SR-DLR | MBIR vs.
SR-DLR |
C-DLR vs.
SR-DLR |
|||||
| Reviewer 1 | 2.26±0.60 | 2.38±0.64 | 2.76±0.62 | 3.26±0.60 | <0.001 | <0.001 | <0.001 | 0.001 |
| Reviewer 2 | 2.24±0.56 | 2.34±0.59 | 2.76±0.66 | 3.30±0.61 | <0.001 | <0.001 | <0.001 | 0.001 |
Data are presented as the mean ± standard deviation. CCTA, coronary computed tomography angiography; C-DLR, conventional deep learning reconstruction; HIR, hybrid iterative reconstruction; MBIR, model-based iterative reconstruction; SR-DLR, super-resolution deep learning reconstruction.