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Non-invasive scattering imaging method beyond memory effect range based on connected component optimization

机译:基于连接分量优化的存储器效果范围之外的非侵入性散射成像方法

摘要

A non-invasive scattering imaging method beyond a memory effect range based on connected component optimization, including: calculating an autocorrelation image of collected speckle information, and obtaining an autocorrelation graph according to the autocorrelation image; obtaining a reconstruction result according to the autocorrelation graph, and optimizing the reconstruction resu calculating and normalizing autocorrelation of the optimized reconstruction result, to calculate initial autocorrelation of an object; obtaining a reconstruction result according to the autocorrelation of the object obtained in the previous step, calculating autocorrelation of an optimized reconstruction result by using a connected component and performing normalization, and using the autocorrelation graph to calculate autocorrelation of another object; and repeating the preceding steps of calculating autocorrelation of the two objects until a predetermined loop count is reached, and then using a phase recovery algorithm and the calculated autocorrelation of the two objects to perform spatial reconstruction to achieve non-invasive imaging.
机译:一种非侵入性散射成像方法,超出基于连接分量优化的存储器效应范围,包括:计算收集的散斑信息的自相关图像,并根据自相关图像获得自相关图。根据自相关图获得重建结果,并优化重建结果;计算和归一化优化的重建结果的自相关,计算对象的初始自相关;根据先前步骤中获得的对象的自相关的重建结果,通过使用连接的组件来计算优化的重建结果的自相关,并执行归一化,并使用自相关图来计算另一个对象的自相关;并重复计算两个对象的自相关的前面的步骤,直到达到预定的环路计数,然后使用相位恢复算法和两个对象的计算的自相关以执行空间重建以实现非侵入性成像。

著录项

  • 公开/公告号US11162898B2

    专利类型

  • 公开/公告日2021-11-02

    原文格式PDF

  • 申请/专利权人 TSINGHUA SHENZHEN INTERNATIONAL GRADUATE SCHOOL;

    申请/专利号US202016930302

  • 发明设计人 XIN JIN;JUNQI LI;

    申请日2020-07-15

  • 分类号G01B9/02;G01N21/47;

  • 国家 US

  • 入库时间 2022-08-24 22:02:06

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