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21.发明申请公开(公告)号：US20120051608A1
公开(公告)日：2012-03-01
申请号：US12870314
申请日：2010-08-27
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , G01R33/5608 , G06K2209/05 , G06T7/11 , G06T2207/10072 , G06T2207/30016
摘要： A system and method for analyzing and visualizing local clinical features includes identification of a first region of interest (ROI) from a medical image dataset acquired from a patient and extraction of a feature dataset representing a feature of interest specific to the ROI. The system also includes identification of a second ROI from the medical image dataset, extraction of a reference dataset comprising reference data representing an expected behavior of the feature of interest, comparison of the feature dataset to the reference dataset, generation of a deviation metric representing a deviation of the feature of interest based on the comparison, and creation of a visual representation of the deviation metric.
摘要翻译： 用于分析和可视化本地临床特征的系统和方法包括从从患者获取的医学图像数据集中识别第一感兴趣区域（ROI），以及提取表示ROI特有的感兴趣特征的特征数据集。 该系统还包括从医学图像数据集识别第二ROI，提取参考数据集，其包括表示感兴趣特征的期望行为的参考数据，特征数据集与参考数据集的比较，生成表示 基于比较的感兴趣特征的偏差，以及偏差度量的视觉表示的创建。
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公开(公告)号：US20120030217A1
公开(公告)日：2012-02-02
申请号：US12845853
申请日：2010-07-29
CPC分类号： G06F17/30994 , G06F17/30985 , G06F19/00 , G06F19/324 , G16H10/60
摘要： A system and method for analyzing clinical data includes a reference database comprising a stored set of reference data comprising enumerated results of a reference population for a clinical test. The system also includes a patient database comprising a stored set of clinical data corresponding to a patient result for the clinical test that is selected from the enumerated results. A processor is included in the system and is programmed to access the patient and reference databases, identify a distribution of reference data over the enumerated test results, and calculate a relevance index based on the distribution of reference data. The processor is further programmed to compare the patient result to the distribution of reference data, calculate a disagreement index based on the comparison, and calculate a deviation index from the relevance and disagreement indices. A graphical user interface is also included to output a visualization of the deviation index.
摘要翻译： 用于分析临床数据的系统和方法包括参考数据库，其包括存储的一组参考数据，其包括用于临床测试的参考群的列举结果。 该系统还包括患者数据库，其包括对应于从列举的结果中选择的用于临床测试的患者结果的存储的一组临床数据。 处理器被包括在系统中，并被编程以访问患者和参考数据库，通过枚举的测试结果识别参考数据的分布，并且基于参考数据的分布来计算相关性指数。 处理器进一步编程为将患者结果与参考数据的分布进行比较，根据比较计算分歧指数，并计算相关性和不一致指数的偏差指数。 还包括图形用户界面以输出偏差指数的可视化。
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23.发明申请SYSTEM AND METHOD FOR INTEGRATED QUANTIFIABLE DETECTION, DIAGNOSIS AND MONITORING OF DISEASE USING POPULATION RELATED TIME TREND DATA AND DISEASE PROFILES 审中-公开使用人口相关时间趋势数据和疾病概况综合量化检测，诊断和疾病监测的系统和方法公开(公告)号：US20110129131A1
公开(公告)日：2011-06-02
申请号：US12627160
申请日：2009-11-30
CPC分类号： G16H50/20 , G06F19/321 , G16H15/00 , G16H50/70
摘要： A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.
摘要翻译： 一种用于检测，诊断和监测疾病并确定疾病特征的系统和方法，包括访问指示患者数据和代表群体区段的参考数据之间的差异的患者偏差分数，从纵向患者数据导出的患者偏差得分，使得 患者偏差得分包括多组患者偏差得分，每组设置指示在各个时间点收集的患者数据与参考数据之间的差异。 该系统和方法还包括识别针对至少一个临床参数的患者偏差得分中的趋势，生成包括趋势的视觉指示的报告，以及输出报告。 该报告包括一个或多个视图，包括使用图像和非图像数据的T视图的Z，T，D，DT和D反馈。
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24.发明申请Electronic medical record-influenced data acquisition, processing, and display system and method 审中-公开电子医疗记录影响数据采集，处理和显示系统及方法公开(公告)号：US20090006131A1
公开(公告)日：2009-01-01
申请号：US11824091
申请日：2007-06-29
IPC分类号： G06F19/00
CPC分类号： G06Q50/24 , G06F19/321 , G16H10/60 , G16H50/20 , G16H50/70
摘要： The acquisition, reconstruction, processing, analysis, display and visualization of imaging data in a medical diagnostic context is influenced by information stored in an electronic medical record. The electronic medical record may include past imaging information, as well as parameter settings, protocol identifications, and any other information extracted from the previous imaging data or derived from that data. The EMR may also include non-imaging data, such as clinical data, and results of various examinations performed of a non-imaging type. Based upon the information in the electronic medical record, recommendations of future imaging may be made, as well as recommendations of protocols, and techniques for acquisition, reconstruction, processing, analysis, display and visualization. The information in the EMR may be used directly for setting imaging system parameters in future imaging acquisition and post-acquisition processing.
摘要翻译： 在医疗诊断环境中的成像数据的采集，重建，处理，分析，显示和可视化受到存储在电子医疗记录中的信息的影响。 电子医疗记录可以包括过去的成像信息，以及参数设置，协议标识以及从先前的成像数据提取或从该数据导出的任何其它信息。 EMR还可以包括非成像数据，例如临床数据，以及非成像类型进行的各种检查的结果。 根据电子医疗记录中的信息，可以提出未来成像的建议，以及协议的建议以及采集，重建，处理，分析，显示和可视化的技术。 EMR中的信息可以直接用于在将来的成像采集和采集后处理中设置成像系统参数。
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25.发明授权
公开(公告)号：US5832134A
公开(公告)日：1998-11-03
申请号：US757181
申请日：1996-11-27
CPC分类号： G06T7/0081 , A61B6/5258 , G06T5/002 , G06T7/0012 , G06T7/0091 , G06T2207/10072 , G06T2207/30101
摘要： The present invention provides a system for performing fast segmentation and image processing for enhanced three dimensional (3-D) visualization of a subject. The present invention automatically extracts unwanted dominant features from images while preserving the desired information. The present invention works especially well with Computed Tomography Angiograms (CTA) for viewing vasculature of a subject's head. Segmenting and removing dominant structures from image data permits visualization techniques such as maximum intensity projection (MIP), surface rendering and volume rendering, to provide enhanced vessel visualization.
摘要翻译： 本发明提供一种用于执行用于对象的增强的三维（3-D）可视化的快速分割和图像处理的系统。 本发明自动地从图像中提取不想要的显性特征，同时保留期望的信息。 本发明特别适用于用于观察受试者头部的脉管系统的计算机断层扫描血管造影（CTA）。 从图像数据分割和去除显性结构允许可视化技术，如最大强度投影（MIP），表面渲染和体积渲染，以提供增强的血管可视化。
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公开(公告)号：US08761479B2
公开(公告)日：2014-06-24
申请号：US12941162
申请日：2010-11-08
IPC分类号： G06K9/00
CPC分类号： A61B6/482 , A61B6/032 , A61B6/463 , A61B6/465 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T11/001 , G06T2207/10081 , G06T2207/20104
摘要： A system and method for analyzing and visualizing spectral CT data includes access of a set of image data acquired from a patient comprising spectral CT data, identification of a plurality of target regions of interest (TROIs) and a reference region of interest (RROI) from the set of image data, extraction of a plurality of target spectral Hounsfield unit (HU) curves from image data representing the plurality of TROIs, extraction of a reference spectral HU curve from image data representing the RROI, normalization of the plurality of target spectral HU curves with respect to the reference spectral HU curve, and display of the plurality of normalized target spectral HU curves.
摘要翻译： 用于分析和可视化频谱CT数据的系统和方法包括从患者获取的一组图像数据的访问，包括频谱CT数据，多个目标感兴趣区域（TROI）和感兴趣的参考区域（RROI）的识别从 图像数据集合，从表示多个TROI的图像数据中提取多个目标光谱Hounsfield单位（HU）曲线，从表示RROI的图像数据中提取参考光谱HU曲线，多个目标光谱HU的归一化 相对于参考光谱HU曲线的曲线，以及多个归一化的目标光谱HU曲线的显示。
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公开(公告)号：US20120189179A1
公开(公告)日：2012-07-26
申请号：US13400530
申请日：2012-02-20
CPC分类号： H04N19/59 , A61B6/548 , H04N19/12 , H04N19/132 , H04N19/154 , H04N19/162 , H04N19/17 , H04N19/426 , H04N19/63
摘要： A technique for prioritizing portions of compressed multi-resolution medical image data to be processed. More relevant portions of medical image data are compressed at a higher resolution than less relevant portions of medical image data. A mask is created from the image data and used to assign data compression quality factors to corresponding image blocks in the image data. The image data in each region is compressed based on their assigned quality factor. During processing of the compressed image data, the compressed image data and the mask are accessed. The mask is used to direct the processing of the compressed image data. Depending upon the application, the mask can be used to direct that the image data for the regions of most relevance be processed before the image data for the regions of lesser relevance. However, the mask can be used to direct that the image data for the regions of lesser relevance be processed before the image data for the regions of most relevance.
摘要翻译： 一种用于对要处理的压缩多分辨率医学图像数据的部分进行优先排序的技术。 医学图像数据的更相关部分以比医学图像数据的相关部分更高的分辨率被压缩。 从图像数据创建掩模，并用于将数据压缩质量因子分配给图像数据中的相应图像块。 每个区域的图像数据根据其分配的质量因子进行压缩。 在处理压缩图像数据期间，访问压缩图像数据和掩码。 该掩码用于指导压缩图像数据的处理。 根据应用，掩模可以用于指导在相关性较低的区域的图像数据之前处理最相关区域的图像数据。 然而，掩模可以用于指示在最相关的区域的图像数据之前处理较不相关区域的图像数据。
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公开(公告)号：US20120114206A1
公开(公告)日：2012-05-10
申请号：US12941162
申请日：2010-11-08
IPC分类号： G06K9/00
CPC分类号： A61B6/482 , A61B6/032 , A61B6/463 , A61B6/465 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T11/001 , G06T2207/10081 , G06T2207/20104
摘要： A system and method for analyzing and visualizing spectral CT data includes access of a set of image data acquired from a patient comprising spectral CT data, identification of a plurality of target regions of interest (TROIs) and a reference region of interest (RROI) from the set of image data, extraction of a plurality of target spectral Hounsfield unit (HU) curves from image data representing the plurality of TROIs, extraction of a reference spectral HU curve from image data representing the RROI, normalization of the plurality of target spectral HU curves with respect to the reference spectral HU curve, and display of the plurality of normalized target spectral HU curves.
摘要翻译： 用于分析和可视化频谱CT数据的系统和方法包括从患者获取的一组图像数据的访问，包括频谱CT数据，多个目标感兴趣区域（TROI）和感兴趣的参考区域（RROI）的识别从 图像数据集合，从表示多个TROI的图像数据中提取多个目标光谱Hounsfield单位（HU）曲线，从表示RROI的图像数据中提取参考光谱HU曲线，多个目标光谱HU的归一化 相对于参考光谱HU曲线的曲线，以及多个归一化的目标光谱HU曲线的显示。
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公开(公告)号：US07970203B2
公开(公告)日：2011-06-28
申请号：US11725244
申请日：2007-03-19
CPC分类号： A61B6/032 , A61B6/507 , A61B6/548 , A61B6/563 , G06F19/00 , H04N19/132 , H04N19/152 , H04N19/184 , H04N19/60
摘要： A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to define regions of interest in the medical image. At each resolution level of the multi-resolution medical image data set, the regions of interest are stored at the full resolution, while the remaining portions of the medical image are stored at a lesser resolution. A three-dimensional bit mask of the regions of interest is produced from a segmentation of the regions of interest. The segmentation list and the multi-resolution medical image data set are decomposed into multiple resolution levels. Each resolution level has a low frequency component and several high frequency components. The low frequency portions at each resolution level may be stored in their entirety. The segmentation list is used to select the regions in the high frequency portions of the multi-resolution image data that correspond to the regions of interest and those regions that do not. The regions in the high frequency portions of the multi-resolution image data that correspond to the region of interest are stored. Those regions in the high frequency portions of the multi-resolution image data that do not correspond to a region of interest are discarded.
摘要翻译： 一种用于选择要存储的多分辨率医学图像数据集的部分和要被丢弃的多分辨率医学图像数据集的部分的技术，以便减少针对每个图像数据集存储的图像数据的总量 。 该选择基于用于获得医学图像数据的临床目的。 用于获得医学图像的临床目的用于定义医学图像中的感兴趣区域。 在多分辨率医学图像数据集的每个分辨率级别，感兴趣区域以全分辨率存储，而医学图像的其余部分以较低分辨率存储。 感兴趣区域的三维位掩码由感兴趣区域的分割产生。 分割列表和多分辨率医学图像数据集被分解成多个分辨率级别。 每个分辨率级别具有低频分量和几个高频分量。 每个分辨率级别的低频部分可以全部存储。 分割列表用于选择对应于感兴趣区域的那些多分辨率图像数据的高频部分中的区域，以及那些不具有区域的区域。 存储与感兴趣区域对应的多分辨率图像数据的高频部分中的区域。 多分辨率图像数据的高频部分中不对应于感兴趣区域的区域被丢弃。
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公开(公告)号：US20100054630A1
公开(公告)日：2010-03-04
申请号：US12201442
申请日：2008-08-29
IPC分类号： G06K9/32
CPC分类号： G06F3/04845 , G06T7/33 , G06T2207/20016 , G06T2207/30004
摘要： A registration image is aligned or registered with a reference image by user interaction. The registration image is segmented into a hierarchy of elements defining a mesh having more than one level. At each level, individual elements may be selected by the user, translated, rotated and scaled with respect to the remainder of the registration image and to the reference image. Refinement of the user registration is facilitated by allowing the user to define further levels in the segmentation where each of the elements at the further levels may be separately manipulated in a similar manner. Interpolation may be performed between the moved or altered elements and between the elements and the remainder of the registration image to obtain a more satisfactorily registered image. The technique may be used with other interpolation and registration processes.
摘要翻译： 注册图像通过用户交互与参考图像对齐或注册。 注册图像被分割成定义具有多于一个级别的网格的元素的层次结构。 在每个级别，可以由用户选择单个元素，相对于注册图像的其余部分和参考图像进行翻译，旋转和缩放。 通过允许用户在分割中定义进一步的级别来促进用户注册的细化，其中进一步级别的每个元素可以以类似的方式被单独地操纵。 可以在移动或改变的元素之间以及元素之间以及注册图像的其余部分之间执行插值，以获得更令人满意的注册图像。 该技术可以与其他插值和注册过程一起使用。
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