Objective：To explore the application value of the turbo spin echo（TSE）T2-weighted imaging based on deep learning reconstruction（DLR）technology in improving mediastinum image quality and reducing scanning time. Methods：35 patients with mediastinal lesions were prospectively collected for mediastinal conventional T2WI and DLR - based T2WI scanning. The artifacts， image clarity，display of the detail of the lesion and overall image quality of the two groups were qualitatively scored by two radiologists independently. The signal -to - noise ratio of the lesion（SNR_lesion）and the contrast to noise ratio of the lesion to vertical muscle（CNR_{lesion/muscle}）of the two groups of images were measured and compared. Results：Qualitative analysis：T2WI_DLR was superior to conventional T2WI in the scores of artifact，image sharpness，display of the detail of the lesion，and overall image quality（P ＜ 0.001）. Quantitative analysis：The SNR and CNR of the image of T2WI_DLR sequence were better than those of conventional T2WI（P ＜ 0.001）. Conclusion：Compared with conventional T2WI sequences，T2WI_DLR sequence has fewer motion artifacts，better image clarity，lesion detail display and overall image quality，and higher SNR and CNR，which has great potential in clinical application of mediastinal diseases.