Deep Learning Denoising Reconstruction Enables up to 2X Scan Time Reduction while Maintaining Image Quality for Musculoskeletal Imaging

Two-average (2NAQ) scans are often required to acquire high resolution images with adequate Signal-to-Noise Ratio (SNR). Deep Learning Denoising Reconstruction (DLR) effectively removes noise hence improving the SNR of reconstructed images. The SNR gain could be used to increase resolution and/or reduce scan time. This study demonstrates that the DLR-reconstructed one-average (1NAQ) images have similar image quality to those acquired with 2NAQ and reconstructed with conventional reconstruction. As a result, approximately 2X scan time reduction is achieved with DLR.