PET-CT image registration in the chest using free-form deformations

PET-CT image registration in the chest using free-form deformations
复制标题

DOI:
10.1109/tmi.2003.809072
复制
发表时间:
2003-01-01
影响因子:
10.6
通讯作者:
Eubank, W
Eubank, W
中科院分区:
工程技术1区
文献类型:
--
作者:
Mattes, D;Haynor, DR;Eubank, W

文献摘要

被引文献

相似文献

我们已经实现并验证了一种算法,用于三维正电子发射断层扫描传输到计算机断层扫描注册在胸部,使用互信息作为相似性标准。两种成像协议的固有差异在两次采集之间产生显著的非刚性运动。结合局部三次B样条的刚体变形被用来捕捉这个运动。变形定义在一个规则的网格上,并可能由几千个系数参数化。结合基于样条的图像连续表示和Parzen直方图估计,我们的变形模型允许标准及其梯度的封闭形式表达式。一个有限内存的拟牛顿优化算法中使用的分层多分辨率框架自动对齐的图像。为了表征该方法的性能,在一项验证研究中使用了27例参与常规肺癌分期的患者的扫描。由两名专家观察员使用分裂窗口验证技术在特定解剖位置对配准进行视觉评估。视觉报告的错误是在0- 6毫米的范围内,平均计算时间是100分钟,在一个中等性能的工作站。
We have implemented and validated an algorithm for three-dimensional positron emission tomography transmission-to-computed tomography registration in the chest, using mutual information as a similarity criterion. Inherent differences in the two imaging protocols produce significant nonrigid motion between the two acquisitions. A rigid body deformation combined with localized cubic B-splines is used to capture this motion. The deformation is defined on a regular grid and is parameterized by potentially several thousand coefficients. Together with a spline-based continuous representation of images and Parzen histogram estimates, our deformation model allows closed-form expressions for the criterion and its gradient. A limited-memory quasi-Newton optimization algorithm is used in a hierarchical multiresolution framework to automatically align the images. To characterize the performance of the method, 27 scans from patients involved in routine lung cancer staging were used in a validation study. The registrations were assessed visually by two expert observers in specific anatomic locations using a split window validation technique. The visually reported errors are in the 0- to 6-mm range and the average computation time is 100 min on a moderate-performance workstation.