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公开(公告)号：US07873196B2
公开(公告)日：2011-01-18
申请号：US11688980
申请日：2007-03-21
IPC分类号： G06K9/00
CPC分类号： G06K9/036 , G06K9/00 , G06K2209/05
摘要： A visibility index for medical images. The method includes generating a visibility index from a training set of images; making a number of measurements of a set of features from an image of an abnormality that is not a member of the training set; and combining the number of measurements to generate a visibility score mapped to the visibility index.
摘要翻译： 医学图像的可视性指标。 该方法包括从训练图像组生成可见度指数; 从不是训练集的成员的异常的图像中进行一组特征的测量; 并组合测量数以产生映射到可见度指数的可见性分数。
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2.发明申请MEDICAL IMAGING SYSTEM FOR ACCURATE MEASUREMENT EVALUATION OF CHANGES IN A TARGET LESION 审中-公开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：US20160015355A1
公开(公告)日：2016-01-21
申请号：US14711685
申请日：2015-05-13
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 calibration device kit for generating phantom image measurements for accurately determining size of an object including a transportable casing sized to contain a synthetic calibration object. The casing containing the synthetic calibration object is adapted to be scanned to generate phantom image measurements of the at least one synthetic calibration object in relation to each of the synthetic calibration objects, a body, and the casing.
摘要翻译： 一种用于产生幻影图像测量以用于准确地确定物体的尺寸的校准装置套件，包括尺寸适于包含合成校准物体的可移动外壳的尺寸。 包含合成校准物体的壳体适于被扫描以相对于每个合成校准物体，主体和壳体产生至少一个合成校准物体的幻影图像测量。
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3.发明授权Medical imaging system for accurate measurement evaluation of changes in a target lesion 有权医学成像系统用于准确测量目标病变变化的评估公开(公告)号：US07876939B2
公开(公告)日：2011-01-25
申请号：US11552516
申请日：2006-10-24
IPC分类号： G06K9/00
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病变，并且在第一和第二组成像数据中测量目标病变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。
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公开(公告)号：US09033576B2
公开(公告)日：2015-05-19
申请号：US13012113
申请日：2011-01-24
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 system and method for nodule boundary visualization superimposed on a scan image, including generating phantom image measurements of at least one synthetic calibration object in relation to a body to calibrate a scanner; acquiring a first image of a nodule on the calibrated scanner; computing and marking a boundary on the image; displaying the first image with the boundary superimposed over the first image; presenting the initial boundary to a user for modification where the user can add one or more modification points to the image to create a modified boundary that is encompassed by the one or more modification points; once the user has marked the one or more modification points on the image, computing an updated boundary that adapts to include the new points.
摘要翻译： 一种叠加在扫描图像上的结节边界可视化的系统和方法，包括相对于身体产生至少一个合成校准物体的幻影图像测量以校准扫描仪; 在校准的扫描器上获取结节的第一图像; 计算和标记图像上的边界; 以叠加在第一图像上的边界显示第一图像; 向用户呈现初始边界以进行修改，其中用户可以向图像添加一个或多个修改点以创建被一个或多个修改点包围的修改的边界; 一旦用户已经标记了图像上的一个或多个修改点，则计算适应于包括新点的更新的边界。
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5.发明授权公开(公告)号：US07596401B2
公开(公告)日：2009-09-29
申请号：US11377031
申请日：2006-03-16
IPC分类号： A61B5/00
CPC分类号： G06T7/0012 , A61B6/12 , G06F19/00 , G06F19/321 , G06T2207/30004 , G16H50/20
摘要： A method for expanding the domain of imaging software in a diagnostic work-up includes the steps of: imaging a patient's body parts for a first condition using a first imaging technique directed to a first condition; acquiring known patient risk factors indicating a second condition; compensating for differences in accuracy between a first imaging technique directed to a first condition, and a second imaging technique directed to testing for the second condition to generate a set of measures; placing a range and confidence interval around the set of measures; and evaluating for a second condition using the set of measures and known patient risk factors.
摘要翻译： 一种用于在诊断处理中扩展成像软件的领域的方法包括以下步骤：使用针对第一状态的第一成像技术对患者的身体部位进行第一状态成像; 获取指示第二个状况的已知患者危险因素; 补偿针对第一条件的第一成像技术之间的精度差异，以及针对第二条件的测试以产生一组措施的第二成像技术; 在一组措施周围放置范围和置信区间; 并使用所述测量集和已知的患者危险因素来评估第二条件。
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6.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：US20090083075A1
公开(公告)日：2009-03-26
申请号：US12245888
申请日：2008-10-06
IPC分类号： G06Q50/00
CPC分类号： G06F19/3481 , G06Q50/24 , G16H10/60 , G16H50/20
摘要： 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. is
摘要翻译： 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。 是的
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公开(公告)号：US20110116606A1
公开(公告)日：2011-05-19
申请号：US13012113
申请日：2011-01-24
IPC分类号： G01D18/00
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 system and method for nodule boundary visualization superimposed on a scan image, including generating phantom image measurements of at least one synthetic calibration object in relation to a body to calibrate a scanner; acquiring a first image of a nodule on the calibrated scanner; computing and marking a boundary on the image; displaying the first image with the boundary superimposed over the first image; presenting the initial boundary to a user for modification where the user can add one or more modification points to the image to create a modified boundary that is encompassed by the one or more modification points; once the user has marked the one or more modification points on the image, computing an updated boundary that adapts to include the new points.
摘要翻译： 一种叠加在扫描图像上的结节边界可视化的系统和方法，包括相对于身体产生至少一个合成校准物体的幻影图像测量以校准扫描仪; 在校准的扫描器上获取结节的第一图像; 计算和标记图像上的边界; 以叠加在第一图像上的边界显示第一图像; 向用户呈现初始边界以进行修改，其中用户可以向图像添加一个或多个修改点以创建被一个或多个修改点包围的修改的边界; 一旦用户已经标记了图像上的一个或多个修改点，则计算适应于包括新点的更新的边界。
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8.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
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。
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9.发明申请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：US20100272341A1
公开(公告)日：2010-10-28
申请号：US12829717
申请日：2010-07-02
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。
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10.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：US07660451B2
公开(公告)日：2010-02-09
申请号：US12074211
申请日：2008-02-29
IPC分类号： G06K9/62
CPC分类号： A61B6/5258 , G06T5/20 , G06T7/0012 , G06T7/11 , G06T7/155 , G06T2207/10081 , G06T2207/30064
摘要： The present invention is directed to diagnostic imaging of small pulmonary nodules. There are two main stages in the evaluation of pulmonary nodules from Computed Tomography (CT) scans: detection, in which the locations of possible nodules are identified, and characterization, in which a nodule is represented by measured features that may be used to evaluate the probability that the nodule is cancer. Currently, the most useful prediction feature is growth rate, which requires the comparison of size estimates from two CT scans recorded at different times. The present invention includes methods for detection and feature extraction for size characterization. The invention focuses the analysis of small pulmonary nodules that are less than 1 centimeter in size, but is also suitable for larger nodules as well.
摘要翻译： 本发明涉及小型肺结节的诊断成像。 计算机断层扫描（CT）扫描对肺结节进行评估有两个主要阶段：其中确定可能结节位置的检测和表征，其中结节由可用于评估结节的测量特征表示 结节是癌症的概率。 目前，最有用的预测特征是增长率，这需要比较不同时间记录的两个CT扫描的大小估计。 本发明包括用于尺寸表征的检测和特征提取的方法。 本发明重点分析小小于1厘米的小肺结节，但也适用于较大的结节。
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