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作 者:庞皓文 孙小杨 杨波 PANG Hao-wen;SUN Xiao-yang;YANG Bo(Radiotherapy Room of Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, China)
机构地区:[1]西南医科大学附属医院肿瘤科放疗室,四川泸州646000
出 处:《中国医学装备》2018年第3期26-29,共4页China Medical Equipment
摘 要:目的:比较Horn-Schunck光流法、Demons算法、加速Demons算法、水平集算法以及快速自由形变算法5种常用弹性配准方法在放射治疗中的应用。方法:选择10例行盆腔放射治疗患者,采集其放射治疗定位时CT图像与放射治疗期间CT图像,利用5种常用弹性配准方法,通过自主编程实施弹性配准,并对配准结果进行比较。结果:5种常用弹性配准方法平均最小均方误差(MSE)减少6.7%~26.0%,平均相关系数(CC)提高2.6%~3.7%,平均配准时间为107.5~220.8 s。结论:Horn-Schunck光流法、Demons算法、加速Demons算法、水平集算法以及快速自由形变算法5种弹性配准方法均取得较好的配准效果,推荐使用Horn-Schunck光流法对放射治疗CT图像进行弹性配准。利用弹性配准模型,能够更精确地模拟器官运动,是监测危及器官个体化剂量进一步研究的方向。Objective:To compare the applications of five kinds of routine elastic registration methods included of Horn-Schunck optical flow method,Demons algorithm,accelerated Demons algorithm,level set algorithm and fast free deformation algorithm in radiotherapy.Methods:10patients who underwent radiotherapy on pelvic cavity were enrolled in the research.And their CT images at the time of location and during radiotherapy were collected,and the five kinds of routine elastic registration methods were applied in the research,and through autonomic programming to implement elastic registration,and then the registered results were further compared.Results:The average minimum mean square error(MSE)of five kinds of routine elastic registration methods have been decreased6.7%-26.0%,and the average correlation coefficient(CC)has been increased2.6%-3.7%,and the average registration time was107.5s-220.8s.Conclusions:All of the five kinds of elastic registration methods get better results,and it is recommended to use HornSchunck optical flow method for elastic registration of radiotherapy CT.And through using elastic registration model can more accurate simulate the movement of organ,and it is a direction of further study that monitor individual dosage of organ at risk.
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