摘要
随着MRI技术的迅速发展、更加先进的高性能MRI设备的临床投用,以及各种图像后处理软件不断开发,不仅MRI性能和图像质量得到了提高,更重要的是使原来难以发现的组织结构和器官的形态、功能及代谢异常,尤其是一些微小病理改变得以清晰显示,显著提高了影像诊断水平,拓宽了应用领域。随着人工智能(artificial intelligence,AI)技术的飞速发展,以及AI在MRI领域研究的不断深入,诸如肿瘤检出、定性诊断、基因表型及预后预测等应用正迅速从试验阶段过渡到临床试用阶段。本文就近年来国内外关于MRI AI方面的研究现状进行总结,并展望未来发展方向,旨在为MRI技术研究及临床转化提供参考依据。
The rapid development of MRI technology,the clinical application of more advanced high-performance MRI scanner,and the continuous development of various image post-processing software together improve the imaging performance and image quality of MRI.More importantly,the abnormal tissue structure and organ morphology,function and metabolism,especially some minor pathological changes,can be clearly displayed,which significantly improves the imaging diagnostic level and expands the application field.With the rapid development of artificial intelligence(AI)technology and the deepening of its research in MRI field,applications such as tumor detection,qualitative diagnosis,gene phenotype and prognosis prediction are rapidly transiting from the experimental stage to the clinical trial stage.This paper summarizes the research status of MRI AI at home and abroad in recent years,and looks into the future development direction,aiming to provide a reference for MRI technology research and clinical transformation.
作者
王梅云
WANG Meiyun(Department of Medical Imaging,Henan Provincial People's Hospital,Zhengzhou 450003,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2023年第3期1-5,共5页
Chinese Journal of Magnetic Resonance Imaging
基金
河南省医学科技攻关计划项目(编号:SBGJ202101002)。
关键词
磁共振成像
人工智能
快速重建
图像后处理
诊断
分期
随访
预测
magnetic resonance imaging
artificial intelligence
fast reconstruction
image postprocessing
diagnosis
staging
follow up
prediction
