A fully automated non-external marker 4D-CT sorting algorithm using a serial cine scanning protocol
A fully automated non-external marker 4D-CT sorting algorithm using a serial cine scanning protocol
复制标题
DOI：
10.1088/0031-9155/54/7/013
复制
发表时间：
2009-04-07
影响因子：
3.5
通讯作者：
Lee, Ting-Yim
中科院分区：
文献类型：
--
作者：
Carnes, Greg;Gaede, Stewart;Lee, Ting-Yim
目前的4D-CT方法需要外部标记数据来回顾性地对图像数据进行分类并生成CT体积。在这项工作中，我们开发了一种自动化的4D-CT分类算法，执行从外部呼吸代理收集的数据的帮助下。分类算法需要重叠电影扫描协议。重叠协议提供治疗床位置之间的空间链接。从起始扫描位置开始，通过使重叠切片位置处的图像的归一化互相关（NCC）最大化来选择来自相邻扫描位置的图像（其在空间上匹配起始扫描位置）。通过使用所选图像“菊花链”所有治疗床位置继续该过程，直到产生整个3D体积。该算法产生了16个相位体积以完成4D-CT数据集。还使用外部标记振幅和相位角排序方法生成了额外的4D-CT数据集。通过计算来自相邻治疗床位置的分类重叠切片的平均差来量化由不同方法产生的体积的图像质量。NCC分类图像显示5名患者的平均差异显著降低（p < 0.01）。
Current 4D-CT methods require external marker data to retrospectively sort image data and generate CT volumes. In this work we develop an automated 4D-CT sorting algorithm that performs without the aid of data collected from an external respiratory surrogate. The sorting algorithm requires an overlapping cine scan protocol. The overlapping protocol provides a spatial link between couch positions. Beginning with a starting scan position, images from the adjacent scan position ( which spatial match the starting scan position) are selected by maximizing the normalized cross correlation (NCC) of the images at the overlapping slice position. The process was continued by 'daisy chaining' all couch positions using the selected images until an entire 3D volume was produced. The algorithm produced 16 phase volumes to complete a 4D-CT dataset. Additional 4D-CT datasets were also produced using external marker amplitude and phase angle sorting methods. The image quality of the volumes produced by the different methods was quantified by calculating the mean difference of the sorted overlapping slices from adjacent couch positions. The NCC sorted images showed a significant decrease in the mean difference (p < 0.01) for the five patients.