Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: a phantom study

HIGHLIGHTS

SUMMARY

Several studies have revealed improved image_quality-for all organs and body parts-achieved with deep learning-based image reconstruction relative to that achieved with IR of CT scans. The improved image_quality or sharpness achieved with deep learning-based reconstruction may not directly reflect the accuracy of lung nodule volumetry, and studies on the accuracy of volumetric measurements made using low-dose or ultra-low-dose CT scans reconstructed by deep learning-based algorithms are needed. Although TFI has been associated with higher image_quality than IR, TFI can only be applied to images obtained using . . .

 



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