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RESTORATION OF COMPUTER-TOMOGRAPHIC IMAGES WITH NEURAL NETWORKS

机译:用神经网络恢复计算机断层图像

摘要

Method and device for making a two-dimensional image of a determined activity distribution in a three-dimensional body along a determined section through that body by restoring a two-dimensional image that has been reconstructed from projections of this activity distribution obtained using an activity detector, using an artificial neural network, wherein in a first step the neural network is trained by supplying to the output thereof at least one set of data corresponding with one determined simulated activity distribution and by supplying to the input thereof a set of data which data corresponds with a two-dimensional image that has been reconstructed from simulated projections of this simulated activity distribution, and in a second step data is supplied to the input of the thus trained network which corresponds with the two-dimensional images reconstructed from the obtained projections.
机译:通过恢复已经从使用活动检测器获得的该活动分布的投影重建的二维图像中,沿着穿过该物体的确定断面,在三维物体中通过该物体在三维物体中确定活动分布的二维图像的方法和装置使用人工神经网络,其中在第一步中,通过向神经网络提供至少一个与一个确定的模拟活动分布相对应的数据集并向其输入提供一组数据来训练神经网络,利用已经从该模拟活动分布的模拟投影重建的二维图像,在第二步骤中,将数据提供给如此训练的网络的输入,该数据与从所获得的投影重建的二维图像相对应。

著录项

  • 公开/公告号WO9306560A1

    专利类型

  • 公开/公告日1993-04-01

    原文格式PDF

  • 申请/专利权人 BEEKMAN FREDERIK JOHANNES;

    申请/专利号WO1992NL00154

  • 发明设计人 BEEKMAN FREDERIK JOHANNES;

    申请日1992-09-08

  • 分类号G06T11/00;

  • 国家 WO

  • 入库时间 2022-08-22 05:07:22

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