Abstract：With the rapid development of CT scanning technology, in the context of artificial intelligence, the deep learning
image reconstruction (DLIR) algorithm has been widely used in CT imaging. Compared with the current commonly used image
reconstruction algorithm, this algorithm can ensure the display of image details under low radiation dose conditions, reduce image
noise to a certain extent, and reduce the image reconstruction time. This paper reviewed the application status and research progress
of DLIR algorithm in CT examination of different parts of the human body, hoping that DLIR algorithm can be further promoted to
reduce the radiation dose of public CT examination and improve the image quality.
王梅，花立春，唐颖，边传振. 基于深度学习的图像重建算法在CT图像重建中的应用进展[J]. 中国医疗设备, 2022, 37(12): 157-161.
WANG Mei, HUA Lichun, TANG Ying, BIAN Chuanzhen. Application of Image Reconstruction Algorithm Based on Deep Learning in CT Image. China Medical Devices, 2022, 37(12): 157-161.
