Deep-learning based fast spin echo magnetic resonance imaging improved clarity of nasal cartilage

In this study, a comparative study of the original images (T1WI, T2WI) and ARDL images based on deep learning reconstruction (T1WI-DL, T2WI-DL) was conducted for magnetic resonance imaging of nasal cartilage. We aim to evaluate the feasibility and performance of a novel deep learning based MRI reconstruction method to show the structures of nasal cartilage, especially lower lateral cartilage. The results showed that applying ARDL to nasal cartilage MRI showed significant improvement in both SNR and CNR. we conclusion that the DL-based reconstruction algorithm was feasible to be applied to nasal cartilage MRI and improve the image quality.