An efficient reconstruction approach for a class of dynamic imaging operators
An efficient reconstruction approach for a class of dynamic imaging operators
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DOI：
10.1088/1361-6420/ab178b
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发表时间：
2019-08
期刊：
影响因子：
2.1
通讯作者：
Bernadette N. Hahn;Megan Garrido
中科院分区：
文献类型：
--
作者：
Bernadette N. Hahn;Megan Garrido
本文讨论了从被物体运动损坏的断层扫描数据中恢复图像的问题。利用广义Radon变换作为动态成像算子的模型，我们提出了一种新的重建方法。所提出的方法，动机的结果微局部分析，近似的解决方案，通过过滤反投影型算法，具有快速实现的优点。应用于动态光声层析成像（PAT）数据的数值结果证实了所提出的方法的效率和相关性。
This article deals with the problem of recovering an image from tomographic data corrupted by the motion of an object. Using generalized Radon transforms as modeling for the dynamic imaging operators, we present a novel approach for the reconstruction process. The proposed method, motivated by results on microlocal analysis, approximates the solution via a filtered backprojection-type algorithm which has the advantage of being quick to implement. The numerical results applied on dynamic photoacoustic tomography (PAT) data corroborate the efficiency and relevance of the proposed method.