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Computed tomographic-based estimation of airway size with correction for scanned plane tilt angle

机译:基于基于断层扫描的气道尺寸估计,扫描平面倾斜角度校正

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A new technique for airway measurement that simultaneously estimates airway tilt angle, caliber, and wall thickness is presented. An idealized (circular cross-section) airway model is parameterized by airway caliber, wall thickness, and tilt angle. Using a 2D CT slice and the full-width-half-max principle we form an estimate of the inner and outer airway wall locations. We then fit ellipses to the inner and outer airway walls using a direct least squares fit and use the major and minor axes of the ellipses to estimate the tilt angle. The airway model is then initialized with tilt angle and size estimates and convolved with the 3D scanner PSF to generate a predicted image. We compare predicted versus actual images to determine the goodness-of-fit. The initial airway parameters are refined using a multi-dimensional, unconstrained, non-linear minimization routine (Nelder-Mead). When optimization converges, airway model parameters estimate the airway inner and outer radii, and tilt angle. Results using a plexiglass phantom show that tilt angle could be estimated to within plus or minus 5 degrees, the inner radius to within about one half of a pixel, and the outer radius to within one pixel.
机译:介绍了一种新的气道测量技术,同时估计气道倾斜角,口径和壁厚。理想化(圆形横截面)气道模型由气道口径,壁厚和倾斜角度参数化。使用2D CT切片和全宽半最大原理,我们形成内部和外部气道墙位置的估计。然后,我们使用直接最小二乘拟合并使用椭圆的主要和次轴来拟合椭圆和外气道墙壁来估计倾斜角度。然后,通过倾斜角度和大小估计初始化气道模型并与3D扫描仪PSF卷积以产生预测图像。我们比较预测的与实际图像以确定适合的身体。初始气道参数使用多维,无约束的非线性最小化例程(Nelder-Mead)精制。当优化融合时,气道模型参数估计气道内部和外部半径,倾斜角度。使用有机玻璃幻影的结果显示,可以在像素的大约一半的大约一半内估计倾斜角度,内半径和一个像素内的外半径。

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