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通过治疗计划CT进行区域通气的量化

Quantification of regional ventilation from treatment planning CT.

作者信息

Guerrero Thomas, Sanders Kevin, Noyola-Martinez Josue, Castillo Edward, Zhang Yin, Tapia Richard, Guerra Rudy, Borghero Yerko, Komaki Ritsuko

机构信息

Division of Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.

出版信息

Int J Radiat Oncol Biol Phys. 2005 Jul 1;62(3):630-4. doi: 10.1016/j.ijrobp.2005.03.023.

Abstract

PURPOSE

We describe a method of quantifying regional ventilation from the radiotherapy treatment planning computed tomography (CT) images, with the goal of developing functional images for treatment planning and optimization.

METHODS AND MATERIALS

A series of exhalation breath-hold (eBH-CT) and inhalation breath-hold (iBH-CT) CT images obtained using a feedback-guided breath-hold technique for radiotherapy treatment planning was selected. The eBH-CT was mapped on a voxel-by-voxel basis to the iBH-CT using a deformable image registration algorithm. By using the average CT number over a 3 mm(3) region surrounding each pair of mapped voxels, the change in fraction of air per voxel (i.e., regional ventilation) was calculated. This methodology was applied to a series of 22 patients. The calculated total ventilation was compared to the change in contoured lung volumes between the exhalation and inhalation CTs (measured tidal volume).

RESULTS

A significant correlation was found between the calculated and measured tidal volumes for the left (R = 0.982) and right (R = 0.985), and for both lungs combined (R = 0.985). In the resulting images, the regional ventilation was highly variable and corresponded with the spatial distribution of differences in the CT values (Hounsfield units) between the eBH-CT and the iBH-CT images.

CONCLUSIONS

A method of quantifying regional ventilation from radiotherapy treatment planning CT data sets was demonstrated. The ventilation images can be used in plan optimization to minimize injury to functioning lung.

摘要

目的

我们描述了一种从放射治疗计划计算机断层扫描(CT)图像中量化局部通气的方法,目的是开发用于治疗计划和优化的功能图像。

方法和材料

选择了一系列使用反馈引导屏气技术获取的用于放射治疗计划的呼气屏气(eBH-CT)和吸气屏气(iBH-CT)CT图像。使用可变形图像配准算法将eBH-CT逐体素映射到iBH-CT上。通过使用围绕每对映射体素的3立方毫米区域内的平均CT值,计算每个体素的空气分数变化(即局部通气)。该方法应用于22例患者。将计算出的总通气量与呼气和吸气CT之间轮廓化肺体积的变化(测量的潮气量)进行比较。

结果

左肺(R = 0.982)、右肺(R = 0.985)以及双肺合并(R = 0.985)时,计算出的潮气量与测量的潮气量之间存在显著相关性。在生成的图像中,局部通气高度可变,并且与eBH-CT和iBH-CT图像之间CT值(亨氏单位)差异的空间分布相对应。

结论

展示了一种从放射治疗计划CT数据集中量化局部通气的方法。通气图像可用于计划优化,以尽量减少对功能肺的损伤。

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