Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study.
Joel GreffierAymeric HamardFabricio PereiraCorinne BarrauHugo PasquierJean Paul BeregiJulien FrandonPublished in: European radiology (2020)
• This study assessed the impact on image quality and radiation dose of a new deep learning image reconstruction (DLIR) algorithm as compared with hybrid iterative reconstruction (IR) algorithm. • The new DLIR algorithm reduced noise and improved spatial resolution and detectability without perceived alteration of the texture, commonly reported with IR. • As compared with IR, DLIR seems to open further possibility of dose optimization.
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