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    Method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
    2.
    发明授权
    Method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans 有权
    用于计算机断层扫描的小型肺结节计算机辅助诊断的方法和装置

    公开(公告)号：US08050481B2

    公开(公告)日：2011-11-01

    申请号：US12829717

    申请日：2010-07-02

    申请人： Anthony P. Reeves ,  David Yankelevitz ,  Claudia Henschke ,  Antoni Chan

    发明人： Anthony P. Reeves ,  David Yankelevitz ,  Claudia Henschke ,  Antoni Chan

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T3/0075 ,  G06T7/44 ,  G06T2207/10081 ,  G06T2207/30061

    摘要： The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, a lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images or the lung region of the CT scan pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points.

    摘要翻译： 本发明是使用连续结节候选细化方法的多级检测算法。 检测算法涉及四个主要步骤。 首先，从整个肺CT扫描分割肺部区域。 随后是从肺区识别结节候选位置的假设生成阶段。 在第三阶段，CT扫描的结节候选子图像或肺区域通过条纹伪影去除过程。 然后使用逐渐增加的复杂度的一系列滤波器连续地细化结节候选物。 第一个过滤器使用附件区域信息从结节候选列表中移除血管和大血管分叉点。 第二个过滤器移除小分叉点。

    System and method for conducting a clinical trial study
    3.
    发明授权
    System and method for conducting a clinical trial study 有权
    进行临床试验研究的系统和方法

    公开(公告)号：US07693729B2

    公开(公告)日：2010-04-06

    申请号：US10901362

    申请日：2004-07-28

    申请人： David Yankelevitz ,  Claudia Henschke ,  Anthony P. Reeves

    发明人： David Yankelevitz ,  Claudia Henschke ,  Anthony P. Reeves

    IPC分类号： G06Q10/00

    CPC分类号： G06Q50/22 ,  G06F19/00 ,  G06Q50/24 ,  G16H10/20

    摘要： Described is a method and system for conducting a clinical trial. Medical data is obtained from a patient participating in the clinical trial. Then, the medical data and at least one identifier are transmitted, via a communications network, for storage at a remote server. The at least one identifier links the medical data to a record of the patient. Access to at least portions of the medical data is provided, via the communications network, to trial participants based on predefined clinical trial procedures. The remote server tracks accessing of the medical data by the trial participants and generation by the trial participants of work product responsive to the medical data.

    摘要翻译： 描述了进行临床试验的方法和系统。 从参与临床试验的患者获得医学数据。 然后，经由通信网络传送医疗数据和至少一个标识符，以便在远程服务器处存储。 至少一个标识符将医疗数据链接到患者的记录。 基于预定义的临床试验程序，通过通信网络向医学参与者提供至少部分医疗数据的访问。 远程服务器跟踪试用参与者对医疗数据的访问和响应于医疗数据的工作产品的试用参与者的生成。

    MEDICAL IMAGING SYSTEM FOR ACCURATE MEASUREMENT EVALUATION OF CHANGES IN A TARGET LESION
    8.
    发明申请
    MEDICAL IMAGING SYSTEM FOR ACCURATE MEASUREMENT EVALUATION OF CHANGES IN A TARGET LESION 有权
    医疗成像系统用于精确测量目标检测中的变化评估

    公开(公告)号：US20070100226A1

    公开(公告)日：2007-05-03

    申请号：US11552516

    申请日：2006-10-24

    申请人： David Yankelevitz ,  Anthony Reeves ,  Claudia Henschke

    发明人： David Yankelevitz ,  Anthony Reeves ,  Claudia Henschke

    IPC分类号： A61B5/05

    CPC分类号： A61B6/583 ,  A61B5/1075 ,  A61B6/03 ,  A61B6/032 ,  A61B6/12 ,  G06T7/0012 ,  G06T7/12 ,  G06T11/60 ,  G06T2207/30004 ,  G06T2207/30096

    摘要： A body part is scanned to produce a first set of imaging data. A target lesion in the imaging data is identified. The body part is rescanned at a subsequent time so as to produce a second set of imaging data. The target lesion is identified in the second set of imaging data and the size of the target lesion is measured in the first and second sets of imaging data to determine two apparent image volumes corresponding to the first and second sets of imaging data. A change in size is estimated by comparing the first and second apparent lesion sizes. A variance on the change in size is estimated so as to determine a bound on the change in size measurement.

    摘要翻译： 扫描身体部位以产生第一组成像数据。 识别成像数据中的目标病变。 身体部分在随后的时间被重新扫描，以产生第二组成像数据。 在第二组成像数据中识别目标损伤，并且在第一组和第二组成像数据中测量目标损伤的大小以确定与第一组和第二组成像数据相对应的两个视在图像体积。 通过比较第一和第二表观损伤大小来估计尺寸变化。 估计大小变化的变化，以确定尺寸测量变化的约束。

    System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
    9.
    发明授权
    System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans 有权
    用于计算机断层扫描的小型肺结节计算机辅助诊断系统，方法和装置

    公开(公告)号：US07499578B2

    公开(公告)日：2009-03-03

    申请号：US10688267

    申请日：2003-10-17

    申请人： Anthony P. Reeves ,  David Yankelevitz ,  Claudia Henschke ,  Antoni Chan

    发明人： Anthony P. Reeves ,  David Yankelevitz ,  Claudia Henschke ,  Antoni Chan

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T3/0075 ,  G06T7/44 ,  G06T2207/10081 ,  G06T2207/30061

    摘要： The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.

    摘要翻译： 本发明是使用连续结节候选细化方法的多级检测算法。 检测算法涉及四个主要步骤。 首先，从全肺CT扫描分割肺部区域。 随后是从肺区识别结节候选位置的假设生成阶段。 在第三阶段，结节候选子图像通过条纹伪影去除过程。 然后使用逐渐增加的复杂度的一系列滤波器连续地细化结节候选物。 第一个过滤器使用附件区域信息从结节候选列表中移除血管和大血管分叉点。 第二个过滤器移除小分叉点。 本发明还提高了结节分离的一致性。 本发明使用刚体登记，直方图匹配和基于规则的调整系统，以在不同时间去除相同结节的两个分段之间的错误分割的体素。

    System and method for analyzing medical data to determine diagnosis and treatment
    10.
    发明申请
    System and method for analyzing medical data to determine diagnosis and treatment 审中-公开
    用于分析医疗数据以确定诊断和治疗的系统和方法

    公开(公告)号：US20060059145A1

    公开(公告)日：2006-03-16

    申请号：US10932443

    申请日：2004-09-02

    申请人： Claudia Henschke ,  Anthony Reeves ,  David Yankelevitz

    发明人： Claudia Henschke ,  Anthony Reeves ,  David Yankelevitz

    IPC分类号： G06F17/30

    CPC分类号： G06F19/3481 ,  G16H10/60

    摘要： Described is a system and method for generating an action plan for diagnosis and treatment of a patient. In particular, a historical database is complied which includes a plurality of records. Each record includes a personal profile and diagnosis data for a person. A plurality of characterizations and corresponding weighting coefficients are derived based on the records in the historical database. Pre-diagnostic patient profile data for a selected patient is obtained for the selected patient. One or more computing modules generate output data for the selected patient as a function of (i) the pre-diagnostic patient profile data, along with the physician's modifications, if any and (ii) the plurality of characterizations and corresponding weighting coefficients. The output data includes at least one of a diagnostic action plan, a confirmation action plan, a confirmation patient profile data and a therapeutic action plan.

    摘要翻译： 描述了一种用于产生用于诊断和治疗患者的动作计划的系统和方法。 特别地，遵循包括多个记录的历史数据库。 每个记录包括一个人的个人资料和诊断数据。 基于历史数据库中的记录导出多个表征和对应的加权系数。 获得所选患者的预诊断患者资料数据。 一个或多个计算模块根据（i）预诊断患者简档数据以及医师的修改（如果有的话）和（ii）多个表征和对应的加权系数，生成所选择的患者的输出数据。 输出数据包括诊断动作计划，确认动作计划，确认患者简档数据和治疗动作计划中的至少一个。