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    PICTURE PROCESSING METHOD OF PICTURE DIAGNOSIS SUPPORT DEVICE
    81.
    发明专利
    PICTURE PROCESSING METHOD OF PICTURE DIAGNOSIS SUPPORT DEVICE 失效

    公开(公告)号：JPH08335271A

    公开(公告)日：1996-12-17

    申请号：JP9685296

    申请日：1996-04-18

    Applicant: ARCH DEV CORP

    Inventor： DOI KUNIO ,  SHIN UEI SHIYUU ,  KATSURAGAWA SHIGEHIKO ,  MORISHITA JIYUNJI

    IPC: A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  G06T7/60

    Abstract: PROBLEM TO BE SOLVED: To provide a new and improved method for automatic detection of the exact boundary of a chest part in a digitized chest part X-ray picture. SOLUTION: This is a computerized method for detecting and characterizing a disease by a picture obtained from a chest part X-ray picture. The picture in the chest part X-ray picture is processed for deciding the boundary of the chest part including the edge of a lung upper end, right and left chest part edges, and right and left half diaphragm edges. An organizational scale including the RMS change of pixel values in a concerned area is converted into relative exposure, and a system noise component which is present in a system used for the generation of the picture is compensated. An organizational index and a geometrical pattern index are generated. Also, the histogram of the index is generated, and inputted to a learned artificial neural network for classifying the normality and abnormality of the picture to be applied.

    COMPUTER DIAGNOSIS SUPPORT METHOD
    82.
    发明专利
    COMPUTER DIAGNOSIS SUPPORT METHOD 失效

    公开(公告)号：JPH07299053A

    公开(公告)日：1995-11-14

    申请号：JP10330695

    申请日：1995-04-27

    Applicant: ARCH DEV CORP

    Inventor： ROBAATO EMU NISHIKAWA ,  EMA TAKEHIRO ,  YOSHIDA HIROYUKI ,  DOI KUNIO

    IPC: A61B6/00 ,  G06F19/00 ,  G06K9/52 ,  G06T7/00

    Abstract: PURPOSE: To enable an anatomically abnormal region to be automatically detected by specifying a plurality of locations in a digital image having a possibility as an abnormal region through digital image processing of a subject having an anatomically abnormal region, and by deciding an edge gradient to each region and comparing their threshold values. CONSTITUTION: In the case that a position of cluster containing a signal of a microcalcified part is detected, firstly, it is photographed by an X-ray system and a signal extraction processing 300 is carried out after producing a differential image 200 imputting a digital mammogram 100 digitalized by a laser scanner. Next, with a possible location as a microcalcified part which becomes a problem in the differential image specified, the differential image data in the circumferential region of the specified location is processed in a characteristic extraction processing 600. Next, an area vs contrast test 700 and a contrast vs background test 800 are carried out and a cluster is processed in highlighting by carrying out a cluster filter processing 900.

    LUNG NODULE DETECTION USING EDGE GRADIENT HISTOGRAMS
    83.
    发明公开
    LUNG NODULE DETECTION USING EDGE GRADIENT HISTOGRAMS 审中-公开
    Von LUNGENNODULEN HISTGRAMMEN VON RANDGRADIENTEN

    公开(公告)号：EP1082694A4

    公开(公告)日：2007-08-08

    申请号：EP99909494

    申请日：1999-02-23

    Applicant: ARCH DEV CORP

    Inventor： XU XIN-WEI ,  DOI KUNIO

    IPC: A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  G06K9/00

    CPC classification number: G06T7/0012

    Abstract: An automated method and a computer storage medium storing instructions for executing the method, for analysis of image features in lung nodule detection in a digital chest radiographic image, including preprocessing the image to identify candidate nodules in the image (1200); establishing a region of interest (ROI) including a candidate nodule within the ROI (1210); performing image enhancement of the candidate nodule within the ROI (1220); obtaining a histogram of accumulated edge gradients as a function of radial angles within the ROI after performing the image enhancement (1230); and determining whether the candidate nodule is a false positive based on the obtained histogram (1240).

    Abstract translation: 一种自动化方法和计算机存储介质，存储用于执行该方法的指令，用于分析数字胸部放射线照相图像中的肺结节检测中的图像特征，包括预处理该图像以识别图像中的候选结节（1200）; 在ROI（1210）内建立包括候选结节的感兴趣区域（ROI）; 执行ROI内的候选结节的图像增强（1220）; 在执行图像增强（1230）之后获得作为ROI内的径向角的函数的累积边缘梯度的直方图; 以及基于所获得的直方图确定候选结节是否为假阳性（1240）。

    BIFUNCTIONAL PHENYL MONOPHOSPHONIC/SULFONIC ACID ION EXCHANGE RESIN AND PROCESS FOR USING THE SAME
    84.
    发明公开
    BIFUNCTIONAL PHENYL MONOPHOSPHONIC/SULFONIC ACID ION EXCHANGE RESIN AND PROCESS FOR USING THE SAME 审中-公开
    相对于苯MONOPHOSPHON- / MONOSULPHON ACID操作程序和供其使用双功能交换

    公开(公告)号：EP1117466A4

    公开(公告)日：2003-02-26

    申请号：EP99940797

    申请日：1999-07-02

    Applicant: ARCH DEV CORP ,  UNIV TENNESSEE RES CORP

    Inventor： SPIRO ALEXANDRATOS ,  SHELLEY CHRISTOPHER A ,  HORWITZ E PHILIP ,  CHIARIZIA RENATO ,  GULA MICHAEL J ,  SUI XUE

    IPC: B01J39/04 ,  B01J39/20 ,  B01J49/00 ,  C02F1/42 ,  C08F2/00 ,  C08J5/20 ,  B01J39/12 ,  C22B3/00

    CPC classification number: C02F1/42 ,  B01J39/05 ,  B01J39/20 ,  B01J49/06 ,  C08J5/20

    Abstract: A cross-linked water-insoluble ion exchange resin comprised of polymerized monomers having a phenyl ring is disclosed. A contemplated resin contains: (i) polymerized phenyl ring-containing monomers having a phosphonic acid ligand linked to the phenyl ring; (ii) about 2 to about 5 millimoles per gram (mmol/g) of phosphorous as phosphonic acid ligands; and (iii) a sufficient amount of a sulfonic acid ligand such that the ratio of mmol/g of phosphonic acid to mmol/g sulfonic acid is up to 3:1. A process for removing polyvalent metal cations from aqueous solution, and a process for removing iron (III) cations from acidic copper (II) cation-containing solutions that utilize the contemplated resin or other resins are disclosed.

    Abstract translation: 由具有苯基环聚合的单体的交联的水不溶性离子交换树脂是游离缺失盘。 甲设想树脂含有：（i）聚合含环苯基具有链接到所述苯基环的膦酸配体单体，（ii）约2至磷作为膦酸配位体的每克约5毫摩尔（毫摩尔/克），和（iii ）检测磺酸配位体足够量做毫摩尔的比例/ g的膦酸的至毫摩尔/克的磺酸是至多3:1。 一种用于去除从wässrige溶液多价金属阳离子的方法，以及用于除去铁的工序（III）从酸性铜阳离子（II）含阳离子的溶液并利用所设想的树脂或其它树脂是游离缺失盘。

    SYSTEM FOR MONITORING AN INDUSTRIAL PROCESS AND DETERMINING SENSOR STATUS
    87.
    发明公开
    SYSTEM FOR MONITORING AN INDUSTRIAL PROCESS AND DETERMINING SENSOR STATUS 失效
    监测系统的传感器态的一种工业法确定

    公开(公告)号：EP0746855A4

    公开(公告)日：1997-06-04

    申请号：EP94918170

    申请日：1994-05-27

    Applicant: ARCH DEV CORP

    Inventor： GROSS KENNETH C ,  HOYER KRISTIN K ,  HUMENIK KEITH E

    IPC: G05B9/03 ,  G21C17/00 ,  G21C7/36 ,  G06G7/19

    CPC classification number: G21C17/00 ,  G05B9/03 ,  Y10S706/914

    Abstract: A method and system for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analysed by a statistical probability ratio test.

    AUTOMATED METHOD AND SYSTEM FOR IMPROVED COMPUTERIZED DETECTION AND CLASSIFICATION OF MASSES IN MAMMOGRAMS
    89.
    发明公开
    AUTOMATED METHOD AND SYSTEM FOR IMPROVED COMPUTERIZED DETECTION AND CLASSIFICATION OF MASSES IN MAMMOGRAMS 失效
    FOR乳房X线照片改进计算机化的检测和分类大众的自动方法和系统

    公开(公告)号：EP0731952A4

    公开(公告)日：1997-01-22

    申请号：EP95903554

    申请日：1994-11-29

    Applicant: ARCH DEV CORP

    Inventor： GIGER MARYELLEN L ,  DOI KUNIO ,  LU PING ,  HUO ZHIMIN

    IPC: A61B6/00 ,  G06K9/00 ,  G06T1/00 ,  G06T7/00 ,  G06K9/38 ,  G06K9/44 ,  G06K9/46 ,  G06K9/62

    CPC classification number: G06K9/00127 ,  G06T7/0012

    Abstract: A method and system for automated detection and classification of masses in mammograms. This method and system include the performance of iterative, multi-level gray level thresholding (202), followed by lesion extraction (203) and feature extraction techniques (205) for classifying true masses from false-postive masses and malignant masses from benign masses. The method and system provide improvements in the detection of masses including multi-gray-level thresholding (202) of the processed images to increase sensitivity and accurate region growing and feature analysis to increase specificity. Novel improvements in the classification of masses include a cumulative edge gradient orientation histogram analysis relative to the radial angle of the pixels in question; i.e. either around the margin of the mass or within or around the mass in question. The classification of the mass leads to a likelihood malignancy.

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