深度学习重建法在MRI重建中的应用进展

Application of Deep Learning Reconstruction in MRI Reconstruction

得益于计算机技术和精密算法的高速发展,深度学习图像重建法已经逐步应用于MRI重建。相对于常规MRI重建法而言,深度学习重建法能够有效去除图像噪声及伪影,还能大幅缩短扫描时间和重建时间。目前,该重建算法已在人体颅脑、关节、腹部等MRI中得到应用,并取得良好效果。本文对深度学习图像重建法在不同部位MRI检查的应用现状及研究进展进行综述,以期该算法能够进一步推广,提高临床应用价值。

With the rapid development of computer technology and sophisticated algorithms,deep learning image reconstruction algorithm has been already used in MRI.Compared with the conventional MRI reconstruction method,the deep learning reconstruction algorithm can effectively decrease image noise and artifacts,and greatly shorten the scanning time and reconstruction time.At present,the reconstruction algorithm has been applied in human brain,joint,abdomen and other imaging,and has achieved good results.This paper reviews the application and research progress of deep learning image reconstruction algorithm in MRI examination of different parts of human body systems,aims to the algorithm can be further popularized and improve clinical application value.