Time-series analysis of the lung texture on bone-suppressed dynamic chest radiography for the evaluation of pulmonary function: a preliminary study
Time-series analysis of the lung texture on bone-suppressed dynamic chest radiography for the evaluation of pulmonary function: a preliminary study
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骨抑制动态胸片肺纹理的时间序列分析用于评估肺功能：初步研究
DOI：
10.1117/12.2254377
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Shigeru Sanada
中科院分区：
文献类型：
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作者：
Rie Tanaka;Hiroaki Matsuda;Shigeru Sanada
影像上显示的肺组织密度变化取决于每单位肺体积的空气和肺血管体积的相对增加和减少。因此，肺纹理的时间序列分析可用于评估相对肺功能。本研究旨在评估呼吸期间动态胸片上肺纹理的时间序列分析，并证明其在肺损伤诊断中的实用性。使用动态平板探测器（FPD; 100 kV，0.2 mAs/脉冲，15帧/秒，SID = 2.0 m; Prototype，Konica Minolta）连续拍摄30例患者的胸部X线照片。在呼吸期间进行成像，在14秒内获得210张图像。将商业骨抑制图像处理软件（Clear Read Bone Suppression; Riverain Technologies，米亚米斯堡，俄亥俄州，USA）应用于连续胸片，以创建相应的骨抑制图像。基于肺区域中的密度直方图分析计算平均像素值、标准差（SD）、峰度和偏度。感兴趣区域（ROI）手动定位在肺中，并在呼吸过程中通过模板匹配技术跟踪相同的ROI。平均像素值有效地区分的区域与正常的肺组织的澄清缺陷。正常区域的平均像素值动态变化与呼吸相同步，而那些在区域的反射缺陷表明减少像素值的变化。在其他参数上，肺组织缺损与正常肺组织之间无显著差异。我们证实，肺纹理的时间序列分析是有用的，在呼吸动态胸片肺功能的评价。肺损伤被检测为像素值的减少的变化。这项技术是一种简单，成本效益高的诊断工具，用于评估局部肺功能。
The density of lung tissue changes as demonstrated on imagery is dependent on the relative increases and decreases in the volume of air and lung vessels per unit volume of lung. Therefore, a time-series analysis of lung texture can be used to evaluate relative pulmonary function. This study was performed to assess a time-series analysis of lung texture on dynamic chest radiographs during respiration, and to demonstrate its usefulness in the diagnosis of pulmonary impairments. Sequential chest radiographs of 30 patients were obtained using a dynamic flat-panel detector (FPD; 100 kV, 0.2 mAs/pulse, 15 frames/s, SID = 2.0 m; Prototype, Konica Minolta). Imaging was performed during respiration, and 210 images were obtained over 14 seconds. Commercial bone suppression image-processing software (Clear Read Bone Suppression; Riverain Technologies, Miamisburg, Ohio, USA) was applied to the sequential chest radiographs to create corresponding bone suppression images. Average pixel values, standard deviation (SD), kurtosis, and skewness were calculated based on a density histogram analysis in lung regions. Regions of interest (ROIs) were manually located in the lungs, and the same ROIs were traced by the template matching technique during respiration. Average pixel value effectively differentiated regions with ventilatory defects and normal lung tissue. The average pixel values in normal areas changed dynamically in synchronization with the respiratory phase, whereas those in regions of ventilatory defects indicated reduced variations in pixel value. There were no significant differences between ventilatory defects and normal lung tissue in the other parameters. We confirmed that time-series analysis of lung texture was useful for the evaluation of pulmonary function in dynamic chest radiography during respiration. Pulmonary impairments were detected as reduced changes in pixel value. This technique is a simple, cost-effective diagnostic tool for the evaluation of regional pulmonary function.