Dynamic ventilation imaging from four-dimensional computed tomography
Dynamic ventilation imaging from four-dimensional computed tomography
复制标题
DOI：
10.1088/0031-9155/51/4/002
复制
发表时间：
2006-02-21
影响因子：
3.5
通讯作者：
Komaki, R
中科院分区：
文献类型：
--
作者：
Guerrero, T;Sanders, K;Komaki, R
提出了一种新的从四维CT(4D CT)获得的无增强对比的全呼吸周期动态通风成像方法。选择呼吸门控采集4DCT图像用于放射治疗计划的病例3例。每个四维CT数据集都是在静息潮气呼吸时采集的。可变形图像配准算法在4D CT数据集上映射每个(体素)对应的组织元素。根据局部平均CT值，计算每体素空气的变化分数(即局部通气量)。使用与最大呼气图像体积形成的对计算4D通风图像集，首先是呼气，然后是吸气阶段，代表一个完整的呼吸周期。使用手动确定的肺体积进行了初步验证。计算的总通气量与两个CT对之间轮廓肺体积(测量的体积)的变化进行比较。经线性回归分析，通风图像的斜率为1.01，相关系数为0.984。通气量的空间分布因病例而异，上肺和下半肺的肿块比通气量有30%的差异。这些图像可能在放射治疗计划中有用。
A novel method for dynamic ventilation imaging of the full respiratory cycle from four-dimensional computed tomography (4D CT) acquired without added contrast is presented. Three cases with 4D CT images obtained with respiratory gated acquisition for radiotherapy treatment planning were selected. Each of the 4D CT data sets was acquired during resting tidal breathing. A deformable image registration algorithm mapped each (voxel) corresponding tissue element across the 4D CT data set. From local average CT values, the change ill fraction of air per voxel (i.e.local ventilation) was calculated. A 4D ventilation image set was calculated using pairs formed with the maximum expiration image volume, first the exhalation then the inhalation phases representing a complete breath cycle. A preliminary validation using manually determined lung Volumes was performed. The calculated total ventilation was compared to the change in contoured lung volumes between the CT pairs (measured volume). A linear regression resulted in a slope of 1.01 and a correlation coefficient of 0.984 for the ventilation images. The spatial distribution of ventilation was found to be case specific and a 30% difference in mass-specific ventilation between the lower and upper lung halves was found. These images may be useful in radiotherapy planning.