Combined Assessment of Pulmonary Ventilation and Perfusion with Single-Energy Computed Tomography and Image Processing.
Combined Assessment of Pulmonary Ventilation and Perfusion with Single-Energy Computed Tomography and Image Processing.
复制标题
DOI：
10.1016/j.acra.2020.04.004
复制
发表时间：
2021-05
影响因子：
4.8
通讯作者：
Yamamoto T
中科院分区：
文献类型：
--
作者：
Fujita Y;Kent M;Wisner E;Johnson L;Stern J;Qi L;Boone J;Yamamoto T
建立单能量计算机断层扫描（CT）和图像处理/分析（表示为单能量CT通气/灌注成像）联合评估肺通气和灌注的原理证明。17只犬（正常8只，病变9只）在注射碘造影剂前呼气末吸气末进行屏气CT扫描，注射造影剂后吸气末进行屏气CT扫描。采用可变形图像配准计算通气图像，绘制呼气末和吸气末CT图像，并定量分析区域容积变化作为通气的替代指标。灌注图像是通过从变形登记的吸气末对比CT中减去吸气末预对比CT来计算的，得到区域Hounsfield单位增强图作为灌注的替代。采用Wilcoxon秩和检验比较两组间的通气-灌注匹配、空间异质性和重力定向梯度。正常组通气与灌注间分段功能容积空间重叠的Dice相似系数显著高于正常组（中位数0.40 vs. 0.33, p=0.05），表明通气与灌注匹配更强。正常组在16个感兴趣区域的Spearman相关系数也更高（中位数0.58 vs. 0.40, p=0.09）。变异系数具有可比性（中位数，通气0.71 vs 0.91, p=0.60；灌注0.63 vs 0.75, p=0.27）。重力导向梯度的线性回归斜率在通气方面也具有可比性（中位数，通气- 0.26 vs. - 0.18, p=0.19；灌注- 0.17 vs. - 0.06, p=0.11）。这些发现为单能量CT通气/灌注成像提供了原理证明。
To establish a proof-of-principle for combined assessment of pulmonary ventilation and perfusion using single-energy computed tomography (CT) and image processing/analysis (denoted as single-energy CT ventilation/perfusion imaging). Breath-hold CT scans were acquired at end-expiration and end-inspiration before injection of iodinated contrast agents, and repeated at end-inspiration after contrast injection for 17 canines (8 normal and 9 diseased lung subjects). Ventilation images were calculated with deformable image registration to map the end-expiratory and end-inspiratory CT images and quantitative analysis for regional volume changes as surrogates for ventilation. Perfusion images were calculated by subtracting the end-inspiratory precontrast CT from the deformably-registered end-inspiratory postcontrast CT, yielding a map of regional Hounsfield unit enhancement as a surrogate for perfusion. Ventilation-perfusion matching, spatial heterogeneity, and gravitationally directed gradients were compared between two groups using a Wilcoxon rank-sum test. The normal group had significantly higher Dice similarity coefficients for spatial overlap of segmented functional volumes between ventilation and perfusion (median 0.40 vs. 0.33, p=0.05), suggesting stronger ventilation-perfusion matching. The normal group also had greater Spearman’s correlation coefficients based on 16 regions of interest (median 0.58 vs. 0.40, p=0.09). The coefficients of variation were comparable (median, ventilation 0.71 vs. 0.91, p=0.60; perfusion 0.63 vs. 0.75, p=0.27). The linear regression slopes of gravitationally directed gradient were also comparable for ventilation (median, ventilation −0.26 vs. −0.18, p=0.19; perfusion −0.17 vs. −0.06, p=0.11). These findings provide proof-of-principle for single-energy CT ventilation/perfusion imaging.
登录
查看更多内容
影响因子：
3.3
作者：
Altemeier, WA;McKinney, S;Glenny, RW
通讯作者：
Glenny, RW
影响因子：
3.8
作者：
Du, Kaifang;Bayouth, John E.;Reinhardt, Joseph M.
通讯作者：
Reinhardt, Joseph M.
影响因子：
10.6
作者：
Murphy, Keelin;van Ginneken, Bram;Pluim, Josien P. W.
通讯作者：
Pluim, Josien P. W.
影响因子：
10.9
作者：
Metz, C. T.;Klein, S.;Niessen, W. J.
通讯作者：
Niessen, W. J.
影响因子：
9.3
作者：
Hofman, Michael S.;Beauregard, Jean-Mathieu;Hicks, Rodney J.
通讯作者：
Hicks, Rodney J.