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    METHODS FOR IMPROVING THE ACCURACY IN DIFFERENTIAL DIAGNOSIS ON RADIOLOGIC EXAMINATIONS
    22.
    发明申请
    METHODS FOR IMPROVING THE ACCURACY IN DIFFERENTIAL DIAGNOSIS ON RADIOLOGIC EXAMINATIONS 审中-公开
    提高放射学检查差异诊断精度的方法

    公开(公告)号：WO9905503A3

    公开(公告)日：1999-04-15

    申请号：PCT/US9815154

    申请日：1998-07-24

    Applicant: ARCH DEV CORP

    Inventor： NISHIKAWA ROBERT M ,  JIANG YULEI ,  ASHIZAWA KAZUTO ,  DOI KUNIO

    IPC: A61B6/00 ,  G06T1/00 ,  G06T7/00 ,  A61B5/05

    CPC classification number: G06T7/0012 ,  Y10S128/925

    Abstract: A computer-aided method for detecting, classifying, and displaying candidate abnormalities, such as microcalcifications and interstitial lung disease in digitized medical images, such as mammograms and chest radiographs, a computer programmed to implement the method, and a data structure for storing required parameters, wherein in the classifying method candidate abnormalities in a digitized medical image are located, regions are generated around one or more of the located candidate abnormalities, features are extracted from at least one of the located candidate abnormalities within the region and from the region itself, the extracted features are applied to a classification technique, such as an artificial neural network (ANN) to produce a classification result (i.e., probability of malignancy in the form of a number and a bar graph), and the classification result is displayed along with the digitized medical image annotated with the region and the candidate abnormalities within the region.

    Abstract translation: 一种用于检测，分类和显示诸如乳房X线照片和胸片的数字医学图像中的微钙化和间质性肺病等候选异常的计算机辅助方法，用于实现该方法的程序化计算机以及用于存储所需参数的数据结构 其中，在所述分类方法中，定位了数字化医学图像中候选异常的区域，围绕所述定位候选异常中的一个或多个产生区域，从所述区域内和所述区域本身中的位置候选异常中的至少一个提取特征， 提取的特征被应用于诸如人造神经网络（ANN）的分类技术以产生分类结果（即以数字和条形图的形式的恶性的概率），并且分类结果与 用区域注释的数字化医学图像和r内的候选异常 egion。

    FC RECEPTOR NON-BINDING ANTI-CD3 MONOCLONAL ANTIBODIES DELIVER A PARTIAL TCR SIGNAL AND INDUCE CLONAL ANERGY
    23.
    发明申请
    FC RECEPTOR NON-BINDING ANTI-CD3 MONOCLONAL ANTIBODIES DELIVER A PARTIAL TCR SIGNAL AND INDUCE CLONAL ANERGY 审中-公开
    FC受体非结合抗CD3单克隆抗体递送部分TCR信号和诱导克隆病

    公开(公告)号：WO9847531A3

    公开(公告)日：1999-04-15

    申请号：PCT/US9808029

    申请日：1998-04-21

    Applicant: ARCH DEV CORP ,  SMITH JUDITH A ,  TSO J YUN ,  CLARK MARCUS R ,  COLE MICHAEL S ,  BLUESTONE JEFFREY A

    Inventor： SMITH JUDITH A ,  TSO J YUN ,  CLARK MARCUS R ,  COLE MICHAEL S ,  BLUESTONE JEFFREY A

    IPC: A61K38/00 ,  C07K16/28 ,  A61K39/395

    CPC classification number: C07K16/2809 ,  A61K38/00 ,  C07K2317/24 ,  C07K2317/77

    Abstract: Anti-CD3 mAbs are potent immunosuppressive agents used in clinical transplantation. However, the activation-related adverse side effects associated with these mAbs have prompted the development of less toxic Fc receptor non-binding anti-CD3 mAb therapies. At present, the functional and biochemical consequences of T cell exposure to Fc receptor non-binding anti-CD3 is unclear. In this study, the inventors have examined the early signaling events triggered by a Fc receptor non-binding anti-CD3 mAb. Like the mitogenic anti-CD3 mAb, Fc receptor non-binding anti-CD3 triggered changes in the TCR complex, including zeta chain tyrosine phosphorylation and ZAP-70 association. However, unlike the mitogenic anti-CD3 stimulation, Fc receptor non-binding anti-CD3 was ineffective at inducing the highly phosphorylated form of zeta (p23) and tyrosine phosphorylation of the associated ZAP-70 tyrosine kinase. This proximal signaling deficiency correlated with minimal PLC gamma -1 phosphorylation and failure to mobilize detectable Ca . Not only did biochemical signals delivered by Fc receptor non-binding anti-CD3 resemble altered peptide ligand signaling, but exposure of Th1 clones to Fc receptor non-binding anti-CD3 also resulted in functional anergy. Finally, a bispecific anti-CD3 x anti-CD4 F(ab)'2 reconstituted early signal transduction events and induced proliferation, suggesting that defective association of 1ck with the TCR complex may underlie the observed signaling differences between the mitogenic and Fc receptor non-binding anti-CD3.

    Abstract translation: 抗CD3 mAb是用于临床移植的有效的免疫抑制剂。 然而，与这些mAb相关的与激活有关的不良副作用促使开发毒性较低的Fc受体非结合抗CD3单克隆抗体。 目前，T细胞暴露于Fc受体非结合抗CD3的功能和生化后果尚不清楚。 在本研究中，本发明人已经研究了由Fc受体非结合抗CD3单克隆抗体引发的早期信号传导事件。 像有丝分裂抗CD3 mAb一样，Fc受体非结合抗CD3引发TCR复合物的变化，包括zeta链酪氨酸磷酸化和ZAP-70缔合。 然而，与有丝分裂抗CD3刺激不同，Fc受体非结合抗CD3在诱导相关ZAP-70酪氨酸激酶的高度磷酸化形式的ζ（p23）和酪氨酸磷酸化方面是无效的。 这种近端信号缺陷与最小的PLCγ-1磷酸化相关，并且不能动员可检测的Ca 2+。 不仅Fc受体非结合抗CD3传递的生化信号类似于改变的肽配体信号传导，而是将Th1克隆暴露于Fc受体非结合抗CD3也导致功能性无能。 最后，双特异性抗CD3 x抗CD4 F（ab）'2重组的早期信号转导事件和诱导增殖，表明1ck与TCR复合物的缺陷缔合可能是观察到的有丝分裂原和Fc受体非 - 结合抗CD3。

    ACCURATE IMAGE RECONSTRUCTION FOR DOI-PET SYSTEMS
    25.
    发明申请
    ACCURATE IMAGE RECONSTRUCTION FOR DOI-PET SYSTEMS 审中-公开
    精密图像重建用于PET系统

    公开(公告)号：WO0143622A9

    公开(公告)日：2002-11-28

    申请号：PCT/US0041378

    申请日：2000-10-20

    Applicant: ARCH DEV CORP

    Inventor： CHEN CHIN-TU ,  PAN XIAOCHUAN ,  KAO CHIEN-MIN

    IPC: G01T1/164 ,  G01T1/29 ,  G01V5/00 ,  G06T11/00 ,  G01T1/20 ,  G01T1/17

    CPC classification number: G01V5/0008 ,  A61B6/037 ,  G01T1/2985 ,  G06T11/005

    Abstract: A method and apparatus are provided for reconstructing images from data obtained from scintillation events occurring within a projection space of a depth-of-interaction positron emission tomography system (10). The method includes the steps of identifying a segment of each depth-of-interaction detector (16) of respective pairs of depth-of-interaction detectors detecting the scintillation events of the data obtained within the projection space and estimating a set of sinograms from the data based upon a set of depth-independent point spread functions (40) of the identified segments of the respective pairs of depth-of-interaction detectors.

    Abstract translation: 提供一种方法和装置，用于根据在相互作用的深度正电子发射断层摄影系统（10）的投影空间内发生的闪烁事件获得的数据重构图像。 该方法包括以下步骤：识别检测在投影空间内获得的数据的闪烁事件的相互对的深度相互作用检测器的每个相互作用深度检测器（16）的一段，并估计一组来自 基于相关的相互作用深度检测器对的识别的段的深度无关的点扩散函数（40）的集合的数据。

    AUTOMATED METHOD AND SYSTEM FOR THE SEGMENTATION OF LUNG REGIONS IN COMPUTED TOMOGRAPHY SCANS
    26.
    发明申请
    AUTOMATED METHOD AND SYSTEM FOR THE SEGMENTATION OF LUNG REGIONS IN COMPUTED TOMOGRAPHY SCANS 审中-公开
    自动化方法和系统，用于在计算机图像扫描中分离肺部区域

    公开(公告)号：WO0154066A9

    公开(公告)日：2002-10-17

    申请号：PCT/US0101479

    申请日：2001-01-18

    Applicant: ARCH DEV CORP

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

    IPC: A61B6/03 ,  G06K9/38 ,  G06T1/00 ,  G06T5/00 ,  G06T5/40 ,  G06T7/60

    CPC classification number: G06K9/38 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30064

    Abstract: A method and system for the automated segmentation of the lung regions in thoracic CT scans includes construction of a cumulative gray level profile from pixels along the diagonal of each CT section image. The shape of this profile is used to identify a gray level threshold that is used to create a binary image. A contour detection algorithm generates a segmented thorax region. The trachea and main bronchi are segmented and eliminated from the segmented thorax region to prevent subsequent inclusion within the segmented lung regions. A grey level histogram is constructed to identify a second gray level threshold, which is applied to the segmented thorax region to create a binary image. If the two lungs regions are "fused", the anterior junction is then delineated and turned "off" in the binary image to separate the two lungs. The geometric properties of "holes" within the binary image are analyzed to identify holes caused by the diaphragm. Pixels within such holes are specifically excluded from the segmented lung regions. A contour detection algorithm is used to identify the outer margins of the largest "on" regions in the binary image (excluding pixels identified as diaphragm) to define the segmented lung regions. The segmented lung regions are modified by a rolling ball technique designed to incorporate pixels that may have been erroneously excluded by initial gray level thresholding. A second diaphragm analysis is performed to prevent the rolling ball technique from incorrectly including pixels that belong to the diaphragm.

    Abstract translation: 用于胸部CT扫描中的肺区域的自动分割的方法和系统包括从每个CT部分图像的对角线的像素构建累积灰度分布图。 该轮廓的形状用于识别用于创建二值图像的灰度级阈值。 轮廓检测算法生成分段胸部区域。 气管和主支气管被分割并从分段的胸部区域中消除，以防止随后包围在分段的肺部区域内。 构建灰度级直方图以识别第二灰度级阈值，该阈值应用于分割的胸部区域以创建二值图像。 如果两个肺区域“融合”，则前交叉点被描绘并在二进制图像中“关闭”以分离两个肺。 分析二进制图像中“孔”的几何特性，以识别由隔膜引起的孔。 这种孔内的像素被特定地从分割的肺部区域排除。 轮廓检测算法用于识别二进制图像中最大的“开”区域的外边界（不包括被识别为隔膜的像素），以定义分割的肺区域。 通过滚球技术修改分割的肺部区域，该技术设计为包含可能被初始灰度阈值阈值错误排除的像素。 执行第二膜分析以防止滚球技术错误地包括属于隔膜的像素。

    DETECTNIG ASYMETRIC ABNORMALITIES IN CHEST RADIOGRAPHY BY CONTRALATERAL AND TEMPORAL SUBTRACTION TECHNIQUE USING ELASTIC MATCHING
    28.
    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

    Inventor： LI QIANG ,  KATSURAGAWA SHIGEHIKO ,  DOI KUNIO

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

    CPC classification number: G06T3/0068 ,  G06T5/50 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T7/174 ,  G06T7/344 ,  G06T2207/20061 ,  G06T2207/30008 ,  G06T2207/30061 ,  Y10S128/922

    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。

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