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Quantitative results in ultrasonic tomography of large objects using line sources and curved detector arrays

机译:使用线源和弯曲检测器阵列对大型物体进行超声层析成像的定量结果

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摘要

A tomographic reconstruction technique valid for line sources, curved detector arrays, and large object is presented. For acquisitions involving a curved detector array, inverse diffraction is first used to propagate the field back to a straight line and then the standard filtered backpropagation (FBP) algorithm is employed to reconstruct the image. Using inverse diffraction the measured field can be accurately propagated all the way back to the reconstruction area. Thus an essential improvement is obtained compared to using the approximate backpropagation of Rytov data contained in the FBP algorithm, which becomes inaccurate when the distance from the measurement surface to the reconstruction area is large. This technique is applied to measured data and it is shown that it gives reconstructions of high quality, both with respect to geometry and velocity. It is also shown that, when the illuminating wave is cylindrical rather than plane, segmentation of the image can be used in combination with inverse diffraction and FBP reconstruction to obtain high-quality images of large objects.
机译:提出了一种适用于线源,弯曲探测器阵列和大物体的层析成像重建技术。对于涉及弯曲探测器阵列的采集,首先使用逆衍射将场传播回直线,然后使用标准的滤波反向传播(FBP)算法来重建图像。使用逆衍射,可以将测量场精确地一直传播到重建区域。因此,与使用FBP算法中包含的Rytov数据的近似反向传播相比,可获得本质上的改进,当从测量表面到重建区域的距离较大时,这将变得不准确。将该技术应用于测量数据,结果表明,该技术在几何形状和速度方面均提供了高质量的重构。还显示出,当照明波是圆柱形而不是平面时,可以将图像分割与逆衍射和FBP重建结合使用以获得大物体的高质量图像。

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