Figure 5 | Scientific Reports

Figure 5

From: Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study

Figure 5

Conventional and reconstructed images of accelerated sequences: a 64-year-old woman with knee pain (A–D). Motion-related artifacts in conventional FSE (A upper, arrow) is not seen on accelerated image (A middle), and the image is enhanced on FSE-DNN image (A lower). Overall image quality is comparable in both conventional FSE and FSE-DNN images (B and D). However, parallel imaging artifacts cannot be completely removed in FSE-DNN image (C middle and lower, arrowheads). The first row represents conventional FSE images, the second row represents accelerated FSE sequences, and the third row represents DNN-reconstructed images of FSE-DNN. Each column represents the images reconstructed by axial fat-saturated T2-weighted image, sagittal T2-weighted image, coronal fat-saturated T2-weighted image, and axial T1-weighted image.

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