AI reconstruction aids lung nodule detection on ultralow-dose CT

A team of researchers led by Beibei Jiang of Shanghai Jiao Tong University School of Medicine prospectively assessed three different image reconstruction techniques for their image quality and ability to detect lung nodules on ultralow-dose CT exams. The group found that deep learning-based reconstruction outperformed filtered back projection (FBP) and adaptive statistical iterative reconstruction (ASIR-V) for both metrics.

“Compared with adaptive statistical iterative reconstruction-V, deep learning image reconstruction … improved the image quality by reducing image noise and…