WIRELESS CT DATA TRANSMISSION
    42.
    发明公开

    公开(公告)号:EP3834733A1

    公开(公告)日:2021-06-16

    申请号:EP19215192.6

    申请日:2019-12-11

    摘要: An imaging system (MIS), optionally a medical imaging system, with wireless communication capability and related method. The imaging system comprises a gantry (RG) rotatable around a rotation axis. The gantry includes a detector device (D) capable of recording, in plural spatial positions, measurement data in relation to a subject (such as a patient) (PAT) to be imaged. The system also includes a radio transmitter (TX) for generating a directed radio beam propagatable along a propagation axis to transmit the measurement data to a radio receiver (RX). The radio transmitter (TX) is arranged at the rotatable gantry and is operable so that the propagation direction intersects the rotation axis in a location that is situated away from the rotatable gantry.

    STATISTICALLY WEIGHTED REGULARIZATION IN MULTI-CONTRAST IMAGING
    46.
    发明公开
    STATISTICALLY WEIGHTED REGULARIZATION IN MULTI-CONTRAST IMAGING 审中-公开
    多对比成像中的统计加权正则化

    公开(公告)号:EP3230946A1

    公开(公告)日:2017-10-18

    申请号:EP15802048.7

    申请日:2015-11-26

    IPC分类号: G06T5/00 G06T5/50 G06T11/00

    摘要: An image processing system (IPS) and related method to transform different multi-modal or multi-contrast input images (u,v) into respective transformed images (U, V). The transformation may proceed iteratively to improve a regularized objective function. The regularization is via a regularizer function (R). The regularizer function (R) is computed from noise normalized gradients of the two or more transformed images (u,v).

    摘要翻译: 一种图像处理系统(IPS)和相关方法,用于将不同的多模式或多种对比度输入图像(u,v)转换成相应的变换图像(U,V)。 转换可以迭代地进行,以改善正则化的目标函数。 正则化是通过正则化函数(R)。 正则化函数(R)是根据两幅或多幅变换图像(u,v)的噪声归一化梯度计算出来的。

    DE-NOISED RECONSTRUCTED IMAGE DATA EDGE IMPROVEMENT
    48.
    发明公开
    DE-NOISED RECONSTRUCTED IMAGE DATA EDGE IMPROVEMENT 有权
    RANDVERBESSERUNG VON ENTRAUSCHTEN REKONSTRUIERTEN BILDDATEN

    公开(公告)号:EP2992504A1

    公开(公告)日:2016-03-09

    申请号:EP14720262.6

    申请日:2014-04-04

    IPC分类号: G06T5/00

    摘要: A system includes obtaining de-noised reconstructed image data and edge improving a sub-set of the de-noised reconstructed image data corresponding to edges of structure represented in the de-noise reconstructed image data. A system (100) includes an edge detector (202) that detects an edge map of edge locations within de-noised reconstructed image data, a noise image data generator (204) that generates noise image data by subtracting the reconstructed image data by the de-noised reconstructed image data, a noisy edge image data generator (206) that generates noisy edge image data by multiplying the noise image data and the edge map, and an edge improver (208) that generates edge improved de-noised image data by adding the noisy edge image data and a product of a weight and the de-noised reconstructed image data.

    摘要翻译: 一种系统包括获得去噪重建图像数据和边缘改善对应于在去噪重构图像数据中表示的结构的边缘的去噪重建图像数据的子集。 系统(100)包括:边缘检测器(202),其检测去噪重建图像数据内的边缘位置的边缘图;噪声图像数据生成器(204),其通过减去重建图像数据产生噪声图像数据 噪声重建图像数据,通过将噪声图像数据图像数据与权重的乘积和去噪重建图像数据相乘产生噪声边缘图像数据的噪声边缘图像数据生成器(206)。

    AUTOMATIC DETERMINATION OF REGULARIZATION FACTOR FOR ITERATIVE IMAGE RECONSTRUCTION WITH REGULARIZATION AND/OR IMAGE DE-NOISING
    49.
    发明公开
    AUTOMATIC DETERMINATION OF REGULARIZATION FACTOR FOR ITERATIVE IMAGE RECONSTRUCTION WITH REGULARIZATION AND/OR IMAGE DE-NOISING 有权
    对于调节和/或图像降噪图像重建迭代调整因子的自动确定

    公开(公告)号:EP2748798A1

    公开(公告)日:2014-07-02

    申请号:EP12812393.2

    申请日:2012-12-04

    IPC分类号: G06T11/00

    摘要: A processing component (122) processes images based on an iterative reconstruction algorithm with regularization and/or de-noising algorithm. The processing component includes a set point determiner (224) that determines a quality set point (216) between predetermined lower and upper quality bounds (226) based on a quality variable (228) indicative of an image quality of interest. The processing component further includes a comparator (214) that compares, each processing iteration, a quality metric of a current generated image with the quality set point and generates a difference value indicative of a difference between the quality metric and the quality set point. The processing component further includes a regularization factor updater (220) that generates an updated regularization factor for a next processing iteration based on a current value (222) of the regularization factor and at least the quality metric in response to the difference value indicating that the quality metric is outside of a predetermined range about the quality set point.

    摘要翻译: 处理组件(122)处理在与正则化和/或去噪算法迭代重建算法基于图像。 处理组件包括一组点确定器(224)确实bestimmt预定下限和上限的质量界限之间的质量设定点(216)的基础上一个质量变量(228)指示感兴趣的图像质量的(226)。 该处理部件还包括一个比较器(214)做比较,每个处理迭代时,与质量设定点和基因率的差分值指示所述质量度量和质量设定点之间的差的电流所产生的图像的质量度量。 该处理部件还包括一个正则化因子更新器(220)确实产生更新的正因子的速率用于指示DASS模具基于所述正则化因子和至少所述质量度量的电流值(222)响应于所述差值的下一个处理迭代 质量度量是预定的绕质量设定点的范围之外。