MRI分割在肿瘤放疗中的应用研究  

Application of MRI segmentation in tumor radiotherapy

作　　者：孙佳伟 毕卉 倪昕晔 Sun Jiawei;Bi Hui;Ni Xinye(Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University,Changzhou 213003,China;Center of Medical Physics,Nanjing Medical University,Changzhou 213003,China;Changzhou University,Changzhou 213164,China)

机构地区：[1]南京医科大学附属常州第二人民医院,213003 [2]南京医科大学医学物理研究中心,常州213003 [3]常州大学,213164

出　　处：《中华放射肿瘤学杂志》2021年第10期1094-1098,共5页Chinese Journal of Radiation Oncology

基　　金：江苏省卫健委面上项目(M2020006);常州市卫健委青年项目(QN201932)。

摘　　要：MRI技术无辐射,软组织分辨率高,因此MR引导下的放疗现已成为放疗领域的热点研究工作。放疗中精确勾画靶区是非常关键的,目前多为手动分割,耗时、主观且缺乏一致性,自动图像分割可以在不降低分割质量前提下提高效率和可重复性。本文综述了在放疗中MRI的自动分割方法,对不同放疗部位包括前列腺、鼻咽癌、脑部肿瘤以及其他器官,就自动分割目标、挑战和方法进行分析和讨论。Magnetic resonance imaging(MRI)is a technology with no radiation and high resolution of soft tissues.Therefore,MRI-guided radiotherapy has become a hot spot in the field of radiotherapy.It is of great importance to accurately delineate the targets in radiation oncology.Currently,the delineation of targets is mostly completed by manual segmentation,which is time-consuming,subjective and inconsistent.Automatic segmentation can improve the efficiency and consistency without sacrificing the accuracy of segmentation.In this article,the automatic segmentation methods of MRI applied in radiotherapy were reviewed.The goals,challenges and methods of automatic segmentation for different radiotherapy sites including prostate,nasopharyngeal carcinoma,brain tumors and other organs were analyzed and discussed.

关 键 词：磁共振引导 自动图像分割 肿瘤/放射疗法 

分 类 号：R730.55[医药卫生—肿瘤]