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    SYSTEM FOR DETECTION OF MALIGNANCY IN PULMONARY NODULES
    93.
    发明公开
    SYSTEM FOR DETECTION OF MALIGNANCY IN PULMONARY NODULES 审中-公开
    检测方法的恶性肺结节

    公开(公告)号：EP1129426A4

    公开(公告)日：2002-08-21

    申请号：EP99958770

    申请日：1999-11-12

    Applicant: ARCH DEV CORP

    Inventor： DOI KUNIO ,  NAKAMURA KATSUMI

    IPC: A61B6/03 ,  A61B6/00 ,  G06K9/00 ,  G06T1/00 ,  G06T7/00 ,  G06F19/00 ,  G06K9/66

    CPC classification number: G06T7/0012 ,  G06K9/00127

    Abstract: A method, computer program product, and system (100) for computerized analysis of the likelihood of malignancy in a pulmonary nodule using artificial neural networks (ANNs) (S4). The method, on which the computer program product and the system is based on, includes obtaining a digital outline of a nodule; generating objective measures corresponding to physical features of the outline of the nodule; applying the generated objective measures to an ANN; and determining a likelihood of malignancy of the nodule based on an output of the ANN. Techniques include novel developments and implementations of artificial neural networks and feature extraction for digital images. Output from the inventive method yields an estimate of the likelihood of malignancy (S7) for a pulmonary nodule.

    NONTRACKING SOLAR CONCENTRATORS
    94.
    发明公开
    NONTRACKING SOLAR CONCENTRATORS 失效
    太阳能聚光没有跟踪

    公开(公告)号：EP1007890A4

    公开(公告)日：2001-05-16

    申请号：EP98936007

    申请日：1998-07-24

    Applicant: ARCH DEV CORP

    Inventor： WINSTON ROLAND ,  RIES HARALD

    IPC: F24S23/30 ,  F24S23/70 ,  H04L29/06 ,  H04M3/54 ,  F24J2/08 ,  F24J2/10

    CPC classification number: H04L69/16 ,  F24J2/1047 ,  Y02E10/40

    Abstract: A non-imaging optical system for operating on light using broken symmetry reflector surfaces (30). The theoretical upper limit for concentration of direct solar radiation at low latitudes with stationary concentrators is determined from the projected solid angle sampled by the apparent motion of the sun. Based on the fact that the solar radiation is not uniformly distributed within this projected solid angle, we derive higher concentrations which apply when rejecting the lower density radiation. Trough type systems, which have translational symmetry, cannot be ideal stationary concentrators. Efficiency is improved by using broken symmetry for surfaces of the reflector (30) and the light source or concentrator. We note that what applies to concentrators applies equally to reflectors for illumination.

    METHOD AND SYSTEM FOR THE SEGMENTATION OF LUNG REGIONS IN LATERAL CHEST RADIOGRAPHS
    95.
    发明公开
    METHOD AND SYSTEM FOR THE SEGMENTATION OF LUNG REGIONS IN LATERAL CHEST RADIOGRAPHS 失效
    VERFAHREN UND SYSTEM ZUR EINTEILUNG VON TEILEN DER LUNGE BEI LATERALER THORAX-RADIOGRAPHIE

    公开(公告)号：EP0998719A4

    公开(公告)日：2000-11-22

    申请号：EP98937064

    申请日：1998-07-24

    Applicant: ARCH DEV CORP

    Inventor： ARMATO SAMUEL G III ,  GIGER MARYELLEN L ,  MACMAHON HEBER

    IPC: A61B6/00 ,  G06K9/38 ,  G06T1/00 ,  G06T5/00 ,  G06K9/00

    CPC classification number: G06K9/38 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10116 ,  G06T2207/20012 ,  G06T2207/30061

    Abstract: A method and system for the automated segmentation of the lung regions in lateral chest radiographs (10) based on gray-level threshold analysis. Approximate outer bounds on the extent of the lung fields in the image are identified to restrict the region further analyzed (16). An iterative global gray-level thresholding method (20) is applied based on the features of a global gray-level histogram. Features of the regions in a binary image constructed at each iteration are identified and subjected to a modified analysis to exclude regions external to the lung field. Individual regions-of-interest (ROIs) are placed along the initial contour. The single gray-level threshold to be applied to the pixels within the individual ROIs is determined (1009). A final contour is constructed to enclose "on" regions (26). Smoothing is performed using a rolling ball method and fitted polynomial curves are spliced into the final contour (1011).

    Abstract translation: 侧胸部X光照片中肺部区域自动分割的方法和系统。 根据本发明，通过提供基于灰度级阈值分析的改进的计算机化，自动化的图像分割方法来实现。 执行用于识别图像中肺域范围的近似外界的独特方法，以限制进一步分析的区域。 基于全局灰度直方图的特征，应用迭代全局灰度阈值法。 识别在每次迭代中构建的二进制图像中的区域的特征，并进行修改分析以排除肺部外部的区域。 由该全局过程产生的初始肺区域轮廓用于促进新颖的自适应局部灰度阈值法。 感兴趣的个别地区（ROI）沿初始轮廓放置。 几个ROI的尺寸基于其中包围的患者解剖结构。 实施独特的过程来确定要应用于各个ROI内的像素的单个灰度级阈值。 形成复合二进制图像，并且构造最终轮廓以包围其上的“开”区域。 应用平滑过程，包括滚球法的独特适应性，并将拟合的多项式曲线拼接成最终轮廓。

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