O'Connell D W, Morgan K S, Ruben G, Croton L C P, Pollock J A, Croughan M K, McGillick E V, Wallace M J, Crossley K J, Pryor E J, Lewis R A, Hooper S B, Kitchen M J
School of Physics and Astronomy, Monash University, Clayton, VIC 3800, Australia.
Ritchie Centre, Monash Institute of Medical Research and the Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC 3800, Australia.
Phys Med Biol. 2022 Oct 7;67(20). doi: 10.1088/1361-6560/ac934d.
. To develop a robust technique for calculating regional volume changes within the lung from x-ray radiograph sequences captured during ventilation, without the use of computed tomography (CT).. This technique is based on the change in transmitted x-ray intensity that occurs for each lung region as air displaces the attenuating lung tissue.. Lung air volumes calculated from x-ray intensity changes showed a strong correlation (= 0.98) against the true volumes, measured from high-resolution CT. This correlation enables us to accurately convert projected intensity data into relative changes in lung air volume. We have applied this technique to measure changes in regional lung volumes from x-ray image sequences of mechanically ventilated, recently-deceased newborn rabbits, without the use of CT.. This method is suitable for biomedical research studies,enabling quantitative regional measurement of relative lung air volumes at high temporal resolution, and shows great potential for future clinical application.
开发一种强大的技术,用于在不使用计算机断层扫描(CT)的情况下,根据通气过程中拍摄的X射线影像序列计算肺内区域体积变化。该技术基于空气取代衰减的肺组织时每个肺区域发生的透射X射线强度变化。根据X射线强度变化计算出的肺空气体积与通过高分辨率CT测量的真实体积显示出很强的相关性(=0.98)。这种相关性使我们能够将投影强度数据准确地转换为肺空气体积的相对变化。我们已将此技术应用于测量机械通气的近期死亡新生兔的X射线图像序列中的区域肺体积变化,而无需使用CT。该方法适用于生物医学研究,能够在高时间分辨率下对相对肺空气体积进行定量区域测量,并显示出未来临床应用的巨大潜力。