Rendering-Based Video-CT Registration with Physical Constraints for Image-Guided Endoscopic Sinus Surgery.
Rendering-Based Video-CT Registration with Physical Constraints for Image-Guided Endoscopic Sinus Surgery.
复制标题
基于渲染的视频 CT 配准与图像引导内窥镜鼻窦手术的物理约束。
DOI：
10.1117/12.2081732
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Hager,GD
中科院分区：
文献类型：
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作者：
Otake,Y;Leonard,S;Reiter,A;Rajan,P;Siewerdsen,JH;Gallia,GL;Ishii,M;Taylor,RH;Hager,GD
我们提出了一种基于优化内窥镜图像与通过CT渲染预测的图像之间的相似性度量的系统，用于将内窥镜的坐标帧与术前或术中获取的CT数据进行配准。我们的方法是鲁棒的和半自动的，因为它考虑了物理约束，特别是内窥镜和解剖结构之间的碰撞，来初始化和约束搜索。所提出的优化方法是基于一种随机优化算法，该算法在图形处理单元上并行评估大量相似度量函数。来自一具尸体和一名病人的图像被用于评估。尸体和病人图像的配准误差分别为0.83 mm和1.97 mm。60次试验的平均注册时间为4.4秒。患者研究证明了所提出的算法对适度解剖变形的鲁棒性。
We present a system for registering the coordinate frame of an endoscope to pre-or intra-operatively acquired CT data based on optimizing the similarity metric between an endoscopic image and an image predicted via rendering of CT. Our method is robust and semi-automatic because it takes account of physical constraints, specifically, collisions between the endoscope and the anatomy, to initialize and constrain the search. The proposed optimization method is based on a stochastic optimization algorithm that evaluates a large number of similarity metric functions in parallel on a graphics processing unit. Images from a cadaver and a patient were used for evaluation. The registration error was 0.83 mm and 1.97 mm for cadaver and patient images respectively. The average registration time for 60 trials was 4.4 seconds. The patient study demonstrated robustness of the proposed algorithm against a moderate anatomical deformation.