DETECTNIG ASYMETRIC ABNORMALITIES IN CHEST RADIOGRAPHY BY CONTRALATERAL AND TEMPORAL SUBTRACTION TECHNIQUE USING ELASTIC MATCHING
    1.
    发明申请
    DETECTNIG ASYMETRIC ABNORMALITIES IN CHEST RADIOGRAPHY BY CONTRALATERAL AND TEMPORAL SUBTRACTION TECHNIQUE USING ELASTIC MATCHING 审中-公开
    通过对比度和时间偏移技术使用弹性匹配来检测超声波非线性异常

    公开(公告)号:WO0129770A3

    公开(公告)日:2001-12-06

    申请号:PCT/US0041299

    申请日:2000-10-20

    Applicant: ARCH DEV CORP

    Abstract: A method, system and computer readable medium of computerized processing of chest images including obtaining digital first and second images of a chest and detecting rib edges in at least one of the first and second images. The rib edges are detected by correlating points in the at least one of the first and second images to plural rib edge models using a Hough transform to identify approximate rib edges in one of the images, and delineating actual rib edges derived from the identified approximate rib edges using a snake model. The method system and computer readable medium further include deriving the shift values using the actual rib edges and warping one of the first and second images to produce a warped image which is registered to the other of the first and second images based at least in part on the shift values.

    Abstract translation: 一种用于胸部图像的计算机化处理的方法,系统和计算机可读介质,包括获得胸部的数字第一和第二图像以及检测第一和第二图像中的至少一个中的肋缘。 通过使用霍夫变换将第一和第二图像中的至少一个图像中的点与多个肋边缘模型相关联来检测肋边缘,以识别其中一个图像中的近似肋边缘,并且描绘从识别的近似肋导出的实际肋边缘 边缘使用蛇模型。 方法系统和计算机可读介质进一步包括使用实际的肋边缘导出移位值,并使第一和第二图像之一变形,以产生至少部分地基于第一和第二图像被注册到第一和第二图像中的另一个的扭曲图像 移位值。

    SYSTEM FOR COMPUTERIZED PROCESSING OF CHEST RADIOGRAPHIC IMAGES
    2.
    发明申请
    SYSTEM FOR COMPUTERIZED PROCESSING OF CHEST RADIOGRAPHIC IMAGES 审中-公开
    用于计算机图像处理的系统

    公开(公告)号:WO0028466A9

    公开(公告)日:2000-09-28

    申请号:PCT/US9924007

    申请日:1999-11-05

    CPC classification number: G06T3/0068 G06T5/50 G06T7/174

    Abstract: A method, system and computer readable medium for computerized processing of chest images including obtaining a digital first image of a chest (S100); producing a second image which is a mirror image (S300) of the first image; performing image warping on one of the first and second images to produce a warped image (S400) which is registered to the other of the first and second images; and subtracting the warped image from the other image to generate a subtraction image (S600). Another embodiment includes obtaining a digital first image of the chest of a subject; detecting ribcage edges on both sides of the lungs in the first chest image; determining average horizontal locations of the left and right ribcage edges at plural vertical locations; fitting the determined average horizontal locations to a straight line to derive a midline; rotating the chest image so that the midline is vertical; and shifting the rotated image to produce a lateral inclination corrected (S200) second image with the midline centered in the lateral inclination corrected image.

    Abstract translation: 一种用于计算机化处理胸部图像的方法,系统和计算机可读介质,包括获得胸部的数字第一图像(S100); 产生作为第一图像的镜像(S300)的第二图像; 在第一和第二图像之一上执行图像扭曲以产生被注册到第一和第二图像中的另一个的翘曲图像(S400); 并从另一图像中减去翘曲图像以产生减法图像(S600)。 另一实施例包括获得对象胸部的数字第一图像; 在第一胸部图像中检测肺两侧的肋骨边缘; 确定在多个垂直位置处的左和右胸腔边缘的平均水平位置; 将确定的平均水平位置拟合到直线以导出中线; 旋转胸部图像,使中线垂直; 并移动旋转的图像以产生横向倾斜校正(S200)第二图像,其中心线位于横向倾斜校正图像中。

    SYSTEM FOR COMPUTERIZED PROCESSING OF CHEST RADIOGRAPHIC IMAGES
    3.
    发明公开
    SYSTEM FOR COMPUTERIZED PROCESSING OF CHEST RADIOGRAPHIC IMAGES 审中-公开
    系统自动化VERARBEITUNG VON RADIOGRAFISCHEN BRUSTBILDERN

    公开(公告)号:EP1127330A4

    公开(公告)日:2003-03-26

    申请号:EP99960126

    申请日:1999-11-05

    Applicant: ARCH DEV CORP

    CPC classification number: G06T3/0068 G06T5/50 G06T7/174

    Abstract: A method, system and computer readable medium for computerized processing of chest images including obtaining a digital first image of a chest (S100); producing a second image which is a mirror image (S300) of the first image; performing image warping on one of the first and second images to produce a warped image (S400) which is registered to the other of the first and second images; and subtracting the warped image from the other image to generate a subtraction image (S600). Another embodiment includes obtaining a digital first image of the chest of a subject; detecting ribcage edges on both sides of the lungs in the first chest image; determining average horizontal locations of the left and right ribcage edges at plural vertical locations; fitting the determined average horizontal locations to a straight line to derive a midline; rotating the chest image so that the midline is vertical; and shifting the rotated image to produce a lateral inclination corrected (S200) second image with the midline centered in the lateral inclination corrected image.

    Abstract translation: 一种用于计算机化处理胸部图像的方法,系统和计算机可读介质,包括获得胸部的数字第一图像(S100); 产生作为第一图像的镜像(S300)的第二图像; 在第一和第二图像之一上执行图像扭曲以产生被注册到第一和第二图像中的另一个的翘曲图像(S400); 并从另一图像中减去翘曲图像以生成减法图像(S600)。 另一实施例包括获得对象胸部的数字第一图像; 在第一胸部图像中检测肺两侧的肋骨边缘; 确定在多个垂直位置处的左和右胸腔边缘的平均水平位置; 将确定的平均水平位置拟合到直线以导出中线; 旋转胸部图像,使中线垂直; 并且移动旋转的图像以产生以横向倾斜校正图像为中心的中线的横向倾斜校正(S200)第二图像。

    Process, system and computer readable medium for pulmonary nodule detection using multiple-templates matching

    公开(公告)号:AU4147502A

    公开(公告)日:2002-06-11

    申请号:AU4147502

    申请日:2001-11-21

    Applicant: ARCH DEV CORP

    Abstract: A method to determine whether a candidate abnormality in a medical digital image is an actual abnormality, a system which implements the method, and a computer readable medium which stores program steps to implement the method, wherein the method includes obtaining a medical digital image including a candidate abnormality; obtaining plural first templates and plural second templates respectively corresponding to predetermined abnormalities and predetermined non-abnormalities; comparing the candidate abnormality with the obtained first and second templates to derive cross-correlation values between the candidate abnormality and each of the obtained first and second templates; determining the largest cross-correlation value derived in the comparing step and whether the largest cross-correlation value is produced by comparing the candidate abnormality with the first templates or with the second templates; and determining the candidate abnormality to be an actual abnormality when the largest cross-correlation value is produced by comparing the candidate abnormality with the first templates and determining the candidate abnormality to be a non-abnormality when the largest cross-correlation value is produced by comparing the candidate abnormality with the second templates. An actual abnormality is similarly classified as malignant or benign based on further cross-correlation values obtained by comparisons with additional templates corresponding to malignant and benign abnormalities.

Patent Agency Ranking