Ventilatory impairment detection based on distribution of respiratory-induced changes in pixel values in dynamic chest radiography: a feasibility study
Ventilatory impairment detection based on distribution of respiratory-induced changes in pixel values in dynamic chest radiography: a feasibility study
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DOI：
10.1007/s11548-010-0491-y
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发表时间：
2011-01-01
影响因子：
3
通讯作者：
Matsui, Osamu
中科院分区：
文献类型：
--
作者：
Tanaka, Rie;Sanada, Shigeru;Matsui, Osamu
目的在胸部X线片上观察到呼吸减少是X射线半透明的微小变化，因此可以通过分析呼吸引起的像素值变化的分布来检测呼吸损伤。本研究旨在开发一种基于呼吸引起的像素值分布的呼吸损伤检测方法。方法使用动态平板探测器系统获得呼吸过程中的连续胸片。在每个局部区域测量呼吸引起的像素值的变化，然后比较位于同一水平上的两个肺的对称位置，该对称位置距离胸轴相同的距离。对20例患者进行左右对称性测量。结果正常对照组左右对称分布，对称位置双肺像素值变化具有良好的相关性(r=0.66+/-0.05)。相反，异常病例因呼吸异常而引起的像素值改变并不呈对称性分布(r=0.40+/-0.23)。结论呼吸机能通过偏离呼吸的左右对称性而改变像素值。特别是，本方法可用于检测单侧异常。然而，为了检测双侧异常，还需要进一步的研究，结合几种模式分析方法发展多水平检测方法。
Purpose Decreased ventilation is observed on chest radiographs as small changes in X-ray translucency, and ventilatory impairments can therefore be detected by analyzing the distribution of respiratory-induced changes in pixel value. This study was performed to develop a ventilatory impairment detection method based on the distribution of respiratory-induced changes in pixel values.Methods Sequential chest radiographs during respiration were obtained using a dynamic flat panel detector system. Respiratory-induced changes in pixel value were measured in each local area and then compared for symmetrical positions in both lungs, which were located at the same distance from the axis of the thorax at the same level. The right-left symmetry was assessed in 20 clinical cases (Abnormal, 14; Normal, 6).Results In normal controls, the distribution was symmetrical, and there were good correlations of the pixel value changes in both lungs at symmetrical positions (r = 0.66 +/- 0.05). In contrast, abnormal cases did not show a symmetrical distribution of pixel value changes (r = 0.40 +/- 0.23) due to ventilation abnormalities observed as reductions in pixel value changes.Conclusions Ventilatory impairment could be detected as deviation from the right-left symmetry of respiratory induced changes in pixel value. In particular, the present method could be useful for detecting unilateral abnormalities. However, to detect bilateral abnormalities, further studies are required to develop multilevel detection methods combined with several methods of pattern analysis.