• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on Biomedical Applications in Molecular, Structural, and Functional Imaging >Time-series analysis of lung texture on bone-suppressed dynamic chest radiograph for the evaluation of pulmonary function: A preliminary study
【24h】

Time-series analysis of lung texture on bone-suppressed dynamic chest radiograph for the evaluation of pulmonary function: A preliminary study

机译：肺部骨压动态胸部X型肺功能评估的肺部纹理时间序列分析：初步研究

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：在图像上证明的肺组织变化的密度取决于每单位体积的肺的空气和肺容量的相对增加和减少。因此，可用于评估相对肺功能的肺纹理的时间序列分析。进行该研究以评估呼吸期间动态胸部射线照片的肺部纹理的时间序列分析，并证明其在肺部损伤诊断中的用途。使用动态平板探测器（FPD; 100 kV，0.2mas /脉冲，15帧/ s，sid = 2.0 m;原型，konica minolta）获得30名患者的顺序胸部射线照片。在呼吸期间进行成像，并且在14秒内获得210个图像。商业骨抑制图像处理软件（清晰的读骨抑制;河工科技，迈阿密堡，俄亥俄州，美国）应用于序贯胸部射线照相，以创造相应的骨抑制图像。基于肺区的密度直方图分析计算平均像素值，标准偏差（SD），峰序和偏移。感兴趣的区域（ROI）手动位于肺部，并通过呼吸期间的模板匹配技术跟踪相同的ROI。平均像素值有效地差异化透气缺陷和正常肺组织的区域。正常区域中的平均像素值与呼吸阶段同步地动态地改变，而那些通气缺陷区域中的区域表明了像素值的变化。在其他参数中透气缺陷和正常肺组织之间没有显着差异。我们证实，肺纹理的时序分析对于呼吸期间动态胸部射线照相中的肺功能评估是有用的。检测肺部损伤，减少像素值的变化。该技术是一种简单，经济高效的诊断工具，用于评估区域肺功能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号