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GPU-Accelerated Matrix-Free 3D Ultrasound Reconstruction for Nondestructive Testing

机译:GPU加速的无矩阵3D超声重建,用于无损检测

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In this paper, we propose a matrix-free 3D ultrasonic reconstruction scheme based on the Fast Iterative Shrinkage-Thresholding algorithm (FISTA) implemented on a GPU. The matrix-free implementation allows to reconstruct images even for problem sizes that would be intractable when explicitly calculating the matrix. However, due to the matrix-free implementation, additional steps are necessary to estimate the stepsize parameter required by FISTA, since the optimal stepsize depends on the largest singular value of the operator matrix, which in the matrix-free version is unavailable and cannot be built due to its size. The estimation is performed based on a priori knowledge of the model. We compare our method to 3D SAFT and OMP images of volumetric ultrasound measurement data of a steel specimen to show how FISTA leads to sharper images facilitating sizing and locating of defects within a specimen.
机译:在本文中,我们提出了基于在GPU上实现的快速迭代收缩阈值算法(FISTA)的无矩阵3D超声重建方案。无矩阵的实现方式甚至可以针对显式计算矩阵时难以解决的问题大小重建图像。但是,由于采用无矩阵的实现方式,因此需要额外的步骤来估算FISTA所需的stepsize参数,因为最佳的stepsize取决于运算符矩阵的最大奇异值,而在无矩阵版本中,该奇异值不可用且不能由于其大小而建造。基于模型的先验知识来执行估计。我们将我们的方法与钢标本的体积超声测量数据的3D SAFT和OMP图像进行比较,以显示FISTA如何产生更清晰的图像,从而有助于标本尺寸的确定和缺陷的定位。

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