AUTOMATED METHOD AND SYSTEM FOR THE ALIGNMENT AND CORRELATION OF IMAGES FROM TWO DIFFERENT MODALITIES
    2.
    发明公开
    AUTOMATED METHOD AND SYSTEM FOR THE ALIGNMENT AND CORRELATION OF IMAGES FROM TWO DIFFERENT MODALITIES 失效
    用于定向与对比两种不同的模式自动的方法和系统

    公开(公告)号:EP0731956A4

    公开(公告)日:1997-04-23

    申请号:EP95904081

    申请日:1994-11-30

    Applicant: ARCH DEV CORP

    Abstract: A method and system for computerized registration of radionuclide images with radiographic images, including generating image data from radiographic and radionuclide images of the thorax (10, 12). Techniques include contouring the lung regions in each type of chest image (15, 16), scaling (17) and registration (19) of the contours based on location of lung apices, and superimposition (18) after appropriate shifting of the images. Specific applications are given for the automated registration of radionuclide lung scans with chest radiographs. The method in the example given yields a system that spatially registers and correlates digitized chest radiographs with V/Q scans in order to correlate V/Q functional information with the greater structural detail of chest radiographs.

    Abstract translation: 一种用于与放射线照相图像,包括来自胸部的X线和放射性核素的图像生成图像数据的放射性核素图像的计算机化登记方法和系统。 技术包括轮廓的肺部区域中的每个类型的胸部图像的,缩放和基于肺顶点的位置,并且叠加的图像的适当的变速后的轮廓的登记。 特定的应用程序,给出了放射性核素肺部扫描与胸片自动注册。 在给定的实施例的方法产生的系统做了空间寄存器和为了与胸部X光的更大的结构细节V / Q功能信息相互关联相关为V / Q数字化的扫描胸片。 最终输出可以是来自图像的每个类型叠加在任何原始图像,或重叠的放射性核素图像数据的,其中含有高活性,走上放射线照相图像胸部所述计算机确定的轮廓。

    Automated method and system for the detection of gross abnormalities and asymmetries in chest images

    公开(公告)号:AU1290695A

    公开(公告)日:1995-06-19

    申请号:AU1290695

    申请日:1994-11-30

    Applicant: ARCH DEV CORP

    Abstract: A method for the automated detection of gross abnormalities and asymmetries in chest images, including generating image data from radiographic images of the thorax. The image data are then analyzed in order to produce the boundaries of the aerated lung regions in the thorax. This analysis comprises location of the mediastinum and lung apices, iterative global thresholding with centroid testing of contours, local thresholding on regions along initial contours of the aerated lung, correction for regions near the costo- and cardiophrenic angles in the chest, analysis of the areas and density distribution within the aerated lung regions in the chest and determination of the likelihood of the presence of a gross abnormality or asymmetry. Final output could be the computer determined contours of the lungs or the likelihood for abnormality.

    AUTOMATED METHOD AND SYSTEM FOR THE DETECTION OF GROSS ABNORMALITIES AND ASYMMETRIES IN CHEST IMAGES

    公开(公告)号:CA2177475A1

    公开(公告)日:1995-06-08

    申请号:CA2177475

    申请日:1994-11-30

    Applicant: ARCH DEV CORP

    Abstract: A method for the automated detection of gross abnormalities and asymmetries in chest images (10), including generating image data from radiographic images of the thorax. The image data are then analyzed in order to produce the boundaries of the aerated lung regions in the thorax. This analysis comprises location of the mediastinum and lung apices, itorative global thresholding (11) with centroid testing of contours, local thresholding (12) on regions along initial contours of the aerated lung, correction (13) for regions near the costo and cardiophrenic angles in the chest, analysis (15) of the areas and density distribution within the aerated lung regions in the chest and determination (16) of the likelihood of the presence of a gross abnormality or asymmetry. Finat ouptut could be the computer determined contours of the lungs or the likelihood for abnormality.

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