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Quantification of the thorax-to-abdomen breathing ratio for breathing motion modeling

机译:定量呼吸运动建模中的胸腹呼吸比

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Purpose: The purpose of this study was to develop a methodology to quantitatively measure the thorax-to-abdomen breathing ratio from a 4DCT dataset for breathing motion modeling and breathing motion studies. Methods: The thorax-to-abdomen breathing ratio was quantified by measuring the rate of cross-sectional volume increase throughout the thorax and abdomen as a function of tidal volume. Twenty-six 16-slice 4DCT patient datasets were acquired during quiet respiration using a protocol that acquired 25 ciné scans at each couch position. Fifteen datasets included data from the neck through the pelvis. Tidal volume, measured using a spirometer and abdominal pneumatic bellows, was used as breathing-cycle surrogates. The cross-sectional volume encompassed by the skin contour when compared for each CT slice against the tidal volume exhibited a nearly linear relationship. A robust iteratively reweighted least squares regression analysis was used to determine η(i), defined as the amount of cross-sectional volume expansion at each slice i per unit tidal volume. The sum Ση(i) throughout all slices was predicted to be the ratio of the geometric expansion of the lung and the tidal volume; 1.11. The Xiphoid process was selected as the boundary between the thorax and abdomen. The Xiphoid process slice was identified in a scan acquired at mid-inhalation. The imaging protocol had not originally been designed for purposes of measuring the thorax-to-abdomen breathing ratio so the scans did not extend to the anatomy with η(i) = 0. Extrapolation of η(i)-η(i) = 0 was used to include the entire breathing volume. The thorax and abdomen regions were individually analyzed to determine the thorax-to-abdomen breathing ratios. There were 11 image datasets that had been scanned only through the thorax. For these cases, the abdomen breathing component was equal to 1.11 - Ση(i) where the sum was taken throughout the thorax. Results: The average Ση(i) for thorax and abdomen image datasets was found to be 1.20 ± 0.17, close to the expected value of 1.11. The thorax-to-abdomen breathing ratio was 0.32 ± 0.24. The average Ση(i) was 0.26 ± 0.14 in the thorax and 0.93 ± 0.22 in the abdomen. In the scan datasets that encompassed only the thorax, the average Ση(i) was 0.21 ± 0.11. Conclusions: A method to quantify the relationship between abdomen and thoracic breathing was developed and characterized.
机译:目的:本研究的目的是开发一种方法,用于从4DCT数据集中定量测量胸腔与腹部的呼吸比,以进行呼吸运动建模和呼吸运动研究。方法:通过测量整个胸部和腹部的横截面体积增加率作为潮气量的函数来量化胸腹部呼吸比。在安静的呼吸过程中,使用在每个躺椅位置采集25次ciné扫描的方案,采集了26个16层4DCT患者数据集。十五个数据集包括从脖子到骨盆的数据。使用肺活量计和腹部气动风箱测量的潮气量用作呼吸周期的替代物。当将每个CT切片与潮气量进行比较时,由皮肤轮廓所包围的横截面体积显示出几乎线性的关系。稳健的迭代加权最小二乘回归分析用于确定η(i),定义为每单位潮汐量每片i的横截面体积膨胀量。预计所有切片的总和∑η(i)为肺的几何膨胀与潮气量之比; 1.11。剑突被选为胸腔和腹部的边界。在吸入中途进行的扫描中鉴定出剑突节段。成像协议最初并不是为测量胸腹呼吸比而设计的,因此扫描未扩展到η(i)= 0的解剖结构。η(i)-η(i)= 0的外推法用于包括整个呼吸量。分别分析胸部和腹部区域,以确定胸部与腹部的呼吸比。仅通过胸部扫描了11个图像数据集。对于这些情况,腹部呼吸分量等于1.11-Ση(i),其中整个胸腔的总和。结果:发现胸部和腹部图像数据集的平均Ση(i)为1.20±0.17,接近预期值1.11。胸腹呼吸比为0.32±0.24。平均∑η(i)在胸腔中为0.26±0.14,在腹部中为0.93±0.22。在仅包含胸部的扫描数据集中,平均Ση(i)为0.21±0.11。结论:建立并量化了腹部和胸腔呼吸之间关系的方法。

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