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Differential reconstruction for planar object in computed tomography

机译:计算机断层扫描中平面物体的微分重构

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摘要

Traditional reconstruction algorithm in computed tomography (CT) requires a square reconstruction matrix, regardless of the particular object shape. This becomes inefficient when reconstructing planar objects such as IC chips which have a large area-to-thickness ratio. This article presents a differential reconstruction algorithm for planar object CT scan. By automatically determining the scanning start orientation of the object and its tilting angle with respect to the rotation axis, a reconstruction matrix with different dimensions and/or different reconstruction resolutions is employed to reconstruct the object area only. For demonstration, a low-temperature co-fire ceramic (LTCC) component is scanned and reconstructed. It shows that the new method requires much less computation time and storage, can achieve higher reconstruction resolution in the thickness dimension, and makes layer separation much easier for multilayer objects.
机译:不论特定的对象形状如何,计算机断层扫描(CT)中的传统重建算法都需要正方形重建矩阵。当重建诸如面积/厚度比大的IC芯片之类的平面物体时,这变得效率低下。本文提出了一种用于平面目标CT扫描的差分重建算法。通过自动确定对象的扫描开始方向及其相对于旋转轴的倾斜角度,采用具有不同尺寸和/或不同重建分辨率的重建矩阵仅重建对象区域。为了演示,对低温共烧陶瓷(LTCC)组件进行了扫描和重建。结果表明,该新方法所需的计算时间和存储量少得多,可以在厚度方向上实现更高的重建分辨率,并使多层对象的层分离更加容易。

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