公开(公告)号：WO9954705A3

公开(公告)日：2002-12-27

申请号：PCT/US9904290

申请日：1999-04-02

Applicant: ARCH DEV CORP

Inventor： ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO ,  DOI KUNIO

IPC: A61B6/00 ,  G01N20060101 ,  G06K9/00 ,  G06K9/80 ,  G06T1/00 ,  G06T3/00 ,  G06T5/40 ,  G06T7/00 ,  G06T7/20 ,  H04N5/325

CPC classification number: G06T7/0016 ,  G06T3/0068 ,  G06T7/254 ,  G06T7/337 ,  G06T2207/30061

Abstract: A method of computerized analysis of temporally sequential digital images, including (a) determining first shift values between pixels of a first digital image and corresponding pixels of a second digital image (440); (b) warping the second digital image based on the first shift values to obtain a first warped image in which spatial locations of pixels are varied in relation to the first shift values (450); (c) determining second shift values between pixels of the first digital image and pixels of the first warped image; and (d) warping the first warped image based on the second shift values to obtain a second warped image (470). Iterative warping enhances image for the first subtraction of the first digital image and the final warped image to produce a difference image (480).

Abstract translation: 一种对时间顺序数字图像进行计算机化分析的方法，包括：（a）确定第一数字图像的像素与第二数字图像的对应像素之间的第一移位值（440）; （b）基于第一移位值对第二数字图像进行翘曲以获得其中像素的空间位置相对于第一移位值变化的第一翘曲图像（450）; （c）确定第一数字图像的像素与第一翘曲图像的像素之间的第二移位值; 和（d）基于第二偏移值使第一翘曲图像翘曲以获得第二扭曲图像（470）。 迭代翘曲增强了第一数字图像和最终的弯曲图像的第一次减法的图像以产生差分图像（480）。

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

Applicant: ARCH DEV CORP ,  DOI KUNIO ,  LI QIANG ,  KATSURAGAWA SHIGEHIKO ,  ISHIDA TAKAYUKI

Inventor： DOI KUNIO ,  LI QIANG ,  KATSURAGAWA SHIGEHIKO ,  ISHIDA TAKAYUKI

IPC: A61B6/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/60 ,  G06K9/00

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。

公开(公告)号：EP0998721A4

公开(公告)日：2003-12-10

申请号：EP98936980

申请日：1998-07-24

Applicant: ARCH DEV CORP

Inventor： DOI KUNIO ,  ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO

IPC: A61B6/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/00 ,  G06T7/60 ,  G06K9/60

CPC classification number: G06T7/0016 ,  G06T3/0081 ,  G06T5/50 ,  G06T7/254 ,  G06T7/337 ,  G06T2207/10116 ,  G06T2207/30061

Abstract: A method and computerized automated initial image matching algorithm technique for enhancing detection of interval changes between temporally subsequent radiographic images via image subtraction. The method includes the steps of digitizing images (100), normalizing density and contrast in the digital images (102), correcting for lateral inclination in the digital images (104), detecting edges of a same feature in each image (106), converting the images into low resolution matrices (108), blurring the low resolution images (110), segmenting portions of the blurred low resolution matrices based on the detected edges (112), matching the digital images based on a cross-correlation match between the segmented portions, performing non-linear warping to further match Regions of Interest (ROI), and performing image subtraction between the matched digital images (120). The low resolution matrices are greater than 64x64 in size and are produced by averaging. Blurring of the low resolution matrices is performed via a Gaussian filter that removes fine structure in each image such as small vessels, bronchia, etc. The method may be performed by a computer system according to instructions stored on a computer readable medium.

Abstract translation: 一种方法和计算机化的自动化初始图像匹配技术，用于通过图像减法来增强在时间上随后的放射照相图像之间的间隔变化的检测。 该方法包括数字化图像数字化，标准化数字图像中的浓度和对比度，校正数字图像中的横向倾斜，检测每个图像中相同特征的边缘，将图像转换成低分辨率矩阵，模糊低分辨率图像 基于检测到的边缘对模糊的低分辨率矩阵进行分段，基于分段部分之间的互相关匹配匹配数字图像，执行非线性翘曲以进一步匹配感兴趣区域（ROI），并执行图像相减 在匹配的数字图像之间。 低分辨率矩阵的大小大于64x64，并通过平均生成。 通过高斯滤波器执行低分辨率矩阵的模糊，其去除每个图像中的精细结构，例如小血管，支气管等。该方法可以由计算机系统根据存储在计算机可读介质上的指令执行。

公开(公告)号：EP1295244A4

公开(公告)日：2009-06-03

申请号：EP99917300

申请日：1999-04-02

Applicant: ARCH DEV CORP

Inventor： ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO ,  DOI KUNIO

IPC: A61B6/00 ,  G06T7/00 ,  G01N20060101 ,  G06K9/00 ,  G06K9/80 ,  G06T1/00 ,  G06T3/00 ,  G06T5/40 ,  G06T7/20 ,  H04N5/325

CPC classification number: G06T7/0016 ,  G06T3/0068 ,  G06T7/254 ,  G06T7/337 ,  G06T2207/30061

Abstract: A method of computerized analysis of temporally sequential digital images, including (a) determining first shift values between pixels of a first digital image and corresponding pixels of a second digital image (440); (b) warping the second digital image based on the first shift values to obtain a first warped image in which spatial locations of pixels are varied in relation to the first shift values (450); (c) determining second shift values between pixels of the first digital image and pixels of the first warped image; and (d) warping the first warped image based on the second shift values to obtain a second warped image (470). Iterative warping enhances image for the first subtraction of the first digital image and the final warped image to produce a difference image (480).

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

Inventor： DOI KUNIO ,  LI QIANG ,  KATSURAGAWA SHIGEHIKO ,  ISHIDA TAKAYUKI

IPC: A61B6/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/60 ,  G06K9/00 ,  G06F19/00

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。

公开(公告)号：JPH10171910A

公开(公告)日：1998-06-26

申请号：JP30713097

申请日：1997-11-10

Applicant: ARCH DEV CORP

Inventor： DOI KUNIO ,  ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO

IPC: A61B5/00 ,  G06F15/18 ,  G06N3/00 ,  G06Q50/00 ,  G06T1/00 ,  G06T7/00 ,  G06F19/00

Abstract: PROBLEM TO BE SOLVED: To efficiently detect an abnormality using an artificial neural network by providing a 2nd neural network means for outputting 2nd signal data based on 1st signal data, and a decision means for outputting a diagnosis result based on the 2nd signal data, etc. SOLUTION: This system is composed of an extracting means for extracting part data from picture data, a 1st neural network means for outputting the 1st signal data based on the extracted part data, the 2nd neural network means for outputting the 2nd signal data based on the 1st signal data, and the decision means for outputting the diagnosis result based on the 2nd signal data. Then, the part data is extracted from the picture data, and the 1st signal data is outputted from the 1st neural network based on this part data. The 2nd signal data is outputted from the 2nd neural network based on this 1st signal data, and the diagnosis result is outputted based on this data.

公开(公告)号：AU8579898A

公开(公告)日：1999-02-16

申请号：AU8579898

申请日：1998-07-24

Applicant: ARCH DEV CORP

Inventor： DOI KUNIO ,  ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO

IPC: A61B6/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/00 ,  G06T7/60 ,  G06K9/60

Abstract: A method and computerized automated initial image matching technique for enhancing detection of interval changes between temporally subsequent radiographic images via image subtraction. The method includes the steps of digitizing images, normalizing density and contrast in the digital images, correcting for lateral inclination in the digital images, detecting edges of a same feature in each image, converting the images into low resolution matrices, blurring the low resolution images, segmenting portions of the blurred low resolution matrices based on the detected edges, matching the digital images based on a cross-correlation match between the segmented portions, performing non-linear warping to further match Regions of Interest (ROI), and performing image subtraction between the matched digital images. The low resolution matrices are greater than 64x64 in size and are produced by averaging. Blurring of the low resolution matrices is performed via a Gaussian filter that removes fine structures in each image such as small vessels, bronchia, etc. The method may be performed by a computer system according to instructions stored on a computer readable medium.

公开(公告)号：AU1706000A

公开(公告)日：2000-05-29

申请号：AU1706000

申请日：1999-11-05

Applicant: ARCH DEV CORP

Inventor： DOI KUNIO ,  LI QIANG ,  KATSURAGAWA SHIGEHIKO ,  ISHIDA TAKAYUKI

IPC: A61B6/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/60 ,  G06K9/00

公开(公告)号：AU3545299A

公开(公告)日：1999-11-08

申请号：AU3545299

申请日：1999-04-02

Applicant: ARCH DEV CORP

Inventor： ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO ,  DOI KUNIO

IPC: A61B6/00 ,  G01N20060101 ,  G06K9/00 ,  G06K9/80 ,  G06T1/00 ,  G06T3/00 ,  G06T5/40 ,  G06T7/00 ,  G06T7/20 ,  H04N5/325

Abstract: A method of computerized analysis of temporally sequential digital images, including (a) determining first shift values between pixels of a first digital image and corresponding pixels of a second digital image; (b) warping the second digital image based on the first shift values to obtain a first warped image in which spatial locations of pixels are varied in relation to the first shift values; (c) determining second shift values between pixels of the first digital image and pixels of the first warped image; and (d) warping the first warped image based on the second shift values to obtain a second warped image in which spatial locations of pixels of the first warped image are varied in relation to the second shift values. Additional iterations of image warping are possible to enhance image registration between the first digital image and the warped version of the second digital image, followed by image subtraction of the first digital image and the final warped image to produce a difference image from which diagnosis of temporal changes ensues. Temporal subtraction assists radiologists in the detection of interval changes on chest radiographs, and particularly to overcome severe misregistration errors in the temporally sequential images mainly due to differences in a subject's inclination and/or rotation. In the production of shift values used in image warping, initial shift values are obtained by cross-correlation techniques using a template and search regions of interest. Shift vectors and a histogram of shift vectors in each lung are obtained from initial shift values. The histograms of shift vectors are used in the selection of sets of shift values for smoothing, using two-dimensional fitting and subsequent use of fitted shift values in image warping.

公开(公告)号：CA2326776A1

公开(公告)日：1999-10-28

申请号：CA2326776

申请日：1999-04-02

Applicant: ARCH DEV CORP

Inventor： ISHIDA TAKAYUKI ,  KATSURAGAWA SHIGEHIKO ,  DOI KUNIO

IPC: A61B6/00 ,  G01N20060101 ,  G06K9/00 ,  G06K9/80 ,  G06T1/00 ,  G06T3/00 ,  G06T5/40 ,  G06T7/00 ,  G06T7/20 ,  H04N5/325

Abstract: A method of computerized analysis of temporally sequential digital images, including (a) determining first shift values between pixels of a first digital image and corresponding pixels of a second digital image; (b) warping the second digital image based on the first shift values to obtain a first warped image in which spatial locations of pixels are varied in relation to the first shift values; (c) determining second shift values between pixels of the first digital image and pixels of the first warped image; and (d) warping the first warped image based on the second shift values to obtain a second warped image in which spatial locations of pixels of the first warped image are varied in relation to the second shift values. Additional iterations of image warping are possible to enhance image registration between the first digital image and the warped version of the second digital image, followed by image subtraction of the first digital image and the final warped image to produce a difference image from which diagnosis of temporal changes ensues.