基于自适应正则项的非均匀B样条肺部图像配准  被引量:2

Nonuniform B-Spline Lung Image Registration Based on Adaptive Regularization Term

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作  者:樊攀云 李敏 Fan Panyun;Li Min(School of Computer Science and Engineering,Nanjing University of Science&Technology,Nanjing 210094,Jiangsu,China;Key Laboratory of Biorheological Science and Technology,Ministry of Education,Chongqing University,Chongqing 400045,China)

机构地区:[1]南京理工大学计算机科学与工程学院,江苏南京210094 [2]重庆大学生物流变科学与技术教育部重点实验室,重庆400045

出  处:《激光与光电子学进展》2022年第10期179-188,共10页Laser & Optoelectronics Progress

基  金:国家自然科学基金(61501241);江苏省自然科学基金(BK20150792);生物流变科学与技术教育部重点实验室开放基金(CQKLBST-2018-011);山东省数字医学与计算机辅助手术重点实验室开放基金(SDKL-DMCAS-2018-04)。

摘  要:肺的呼吸运动估计和校正对图像引导放射治疗肺癌具有重要意义,需要图像配准技术获取运动位移信息。然而,肺器官是典型的运动器官,在呼吸过程中会发生复杂的、不同形式的形变,导致肺部三维Computed Tomography(CT)图像配准难度大且耗时长。目前,肺部CT图像配准依然是一个具有挑战性且亟需解决的难题。提出一种基于自适应正则项的非均匀B样条图像配准方法,首先,以肺部生理结构特点为先验,结合曲率对肺器官网格进行空间自适应稀疏性划分,构建了非均匀B样条形变模型,提高配准效率。然后,通过设计像素点的空间位置权重,对形变场平滑正则项和全变差正则项进行自适应加权,提升配准精度。通过在公共数据集上与其他配准方法的比较,验证了所提方法的有效性。The estimation and correction of lung respiratory motions are crucial for the image-guided radiotherapy of lung cancer, which require motion displacement information obtained using the image registration technology.However, lungs are typical moving organs that involve complex deformations during the breathing cycle, owing to which the three-dimensional computed tomography(CT) image registration of lungs becomes difficult and timeconsuming. Currently, the registration of lung CT images remains a challenge that requires urgent attentions. In this study, a nonuniform B-spline image registration method based on the adaptive regularization term is proposed.First, a nonuniform B-spline deformation model is constructed, in which the control point gird is initialized using spatial adaptive sparsity based on the curvature according to the characteristics of the physiological structure of the lung to improve the registration efficiency. Furthermore, by designing the spatial position weights of the pixel points, the smooth regularization and total variation regularization terms of the deformation field are adaptively combined to improve the registration accuracy. The effectiveness of the proposed method is verified via experiments on public data sets and comparison with some other registration methods.

关 键 词:成像系统 非刚性配准 肺部CT图像 自适应正则项 非均匀B样条 

分 类 号:TP391[自动化与计算机技术—计算机应用技术]

 

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