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Method and data processing unit for optimizing an image reconstruction algorithm

机译:用于优化图像重建算法的方法和数据处理单元

摘要

A method includes provisioning a set of training data sets, each of the training data sets respectively including an acquisition data set; generating a first medical image for each of the training data sets of at least one first subset of the set of training data sets using the image reconstruction algorithm based on a respective acquisition data set; determining an image processing result for each of the respective first medical images using an image processing algorithm based on the respective first medical image; determining image processing information for each of the respective first medical images relating to a quality of the respective image processing result based on the respective image processing resu and optimizing the image reconstruction algorithm based on a first machine learning algorithm, the at least one first subset of the set of training data sets and the image processing information for the respective first medical images.
机译:一种方法,包括提供一组训练数据集,每个训练数据集分别包括获取数据集;基于相应的采集数据集,使用图像重建算法为训练数据集的至少一个第一子集的每个训练数据集生成第一医学图像;使用基于相应的第一医学图像的图像处理算法来确定每个相应的第一医学图像的图像处理结果;基于相应的图像处理结果,确定与相应的图像处理结果的质量有关的每个相应的第一医学图像的图像处理信息;基于第一机器学习算法,训练数据集的至少一个第一子集以及相应的第一医学图像的图像处理信息,优化图像重建算法。

著录项

  • 公开/公告号US10614597B2

    专利类型

  • 公开/公告日2020-04-07

    原文格式PDF

  • 申请/专利权人 SIEMENS HEALTHCARE GMBH;

    申请/专利号US201715659707

  • 发明设计人 PHILIPP HOELZER;RAZVAN IONASEC;

    申请日2017-07-26

  • 分类号G06T11;G06T7/11;G06T7;

  • 国家 US

  • 入库时间 2022-08-21 11:26:31

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