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1. 发明申请

US20060072797A1 Method and system for structuring dynamic data 有权
标题翻译：用于构建动态数据的方法和系统
公开(公告)号：US20060072797A1
公开(公告)日：2006-04-06
申请号：US10946857
申请日：2004-09-22
申请人： Allison Weiner , Saad Sirohey , Gopal Avinash
发明人： Allison Weiner , Saad Sirohey , Gopal Avinash
IPC分类号： G06K9/00
CPC分类号： G06Q50/22 , G06F19/00 , G06F19/321 , G16H15/00 , H04L67/12
摘要： Certain embodiments of the present invention provide a system and method for structuring dynamic data from a plurality of images. Certain embodiments include accessing an image data set including data representing a plurality of images, determining a dynamic or functional attribute in the image data set, associating the dynamic or functional attribute with a lexical attribute from a lexicon, and storing the lexical attribute and an associated code. The lexical attribute and associated code may be stored in a database and/or a structured report, for example. The lexicon may be modified to accommodate attributes and medical terminology. Attributes relate to a feature and/or a region of interest in the image data set.
摘要翻译：本发明的某些实施例提供了用于从多个图像构造动态数据的系统和方法。某些实施例包括访问包括表示多个图像的数据的图像数据集，确定图像数据集中的动态或功能属性，将动态或功能属性与来自词典的词汇属性相关联，以及存储词法属性和相关联的码。例如，词汇属性和关联代码可以存储在数据库和/或结构化报告中。可以修改词典以适应属性和医学术语。属性涉及图像数据集中的特征和/或感兴趣区域。

2. 发明申请

US20070078873A1 Computer assisted domain specific entity mapping method and system 审中-公开
标题翻译：计算机辅助领域专用实体映射方法和系统
公开(公告)号：US20070078873A1
公开(公告)日：2007-04-05
申请号：US11240880
申请日：2005-09-30
申请人： Gopal Avinash , Saad Sirohey , Allison Weiner
发明人： Gopal Avinash , Saad Sirohey , Allison Weiner
IPC分类号： G06F7/00
CPC分类号： G06K9/6267 , G06F16/31 , G06F16/51
摘要： A technique for identifying, analyzing, structuring, mapping and classifying data entities is disclosed. A conceptual framework is established by a domain definition having an association list of attributes of interest. Data entities are accessed, analyzed, structured if appropriate, mapped and classified in accordance with the association list and attributes found in the entities, and in accordance with rules and algorithms for analyzing, recognizing and classifying the attributes. Various types of analysis may be performed following the classification. Searches and selection of the data entities may also be performed. Complex data entities may be processed, including text documents, image data, audio data, waveform data, and combinations of these.
摘要翻译：公开了一种用于识别，分析，构造，映射和分类数据实体的技术。通过具有感兴趣属性的关联列表的域定义建立概念框架。如果适当，访问，分析，结构化数据实体，根据实体中发现的关联列表和属性进行映射和分类，并根据用于分析，识别和分类属性的规则和算法。可以在分类之后执行各种类型的分析。也可以执行数据实体的搜索和选择。可以处理复杂数据实体，包括文本文档，图像数据，音频数据，波形数据以及它们的组合。

3. 发明申请

US20100130848A1 METHODS AND APPARATUS FOR DETERMINING BRAIN CORTICAL THICKNESS 有权
标题翻译：测定脑脊膜厚度的方法和装置
公开(公告)号：US20100130848A1
公开(公告)日：2010-05-27
申请号：US12324498
申请日：2008-11-26
申请人： Zhongmin Steve Lin , Gopal Avinash , Saad Sirohey , Ananth Mohan , Satoshi Minoshima
发明人： Zhongmin Steve Lin , Gopal Avinash , Saad Sirohey , Ananth Mohan , Satoshi Minoshima
IPC分类号： A61B5/055
CPC分类号： A61B5/1075 , A61B5/055 , G06T7/62 , G06T2207/10088 , G06T2207/30016
摘要： Methods and apparatus for determining brain cortical thickness. One method includes determining an intensity profile at each of a plurality of cortical surface points of an imaged brain using brain tissue image data and calculating a cortical thickness based on a parametrically determined transition point of each intensity profile.
摘要翻译：测定脑皮质厚度的方法和装置。一种方法包括使用脑组织图像数据确定成像脑的多个皮质表面点中的每一个处的强度分布，并且基于每个强度分布的参数确定的转变点来计算皮质厚度。

4. 发明申请

US20070081701A1 Systems, methods and apparatus for tracking progression and tracking treatment of disease from categorical indices 审中-公开
标题翻译：用于跟踪分类指标疾病进展和跟踪治疗的系统，方法和装置
公开(公告)号：US20070081701A1
公开(公告)日：2007-04-12
申请号：US11241570
申请日：2005-09-29
申请人： Saad Sirohey , Gopal Avinash , Janet Blumenfeld , William Bridge , Satoshi Minoshima
发明人： Saad Sirohey , Gopal Avinash , Janet Blumenfeld , William Bridge , Satoshi Minoshima
IPC分类号： G06K9/00
CPC分类号： G06F19/321 , G16H50/20
摘要： Systems, methods and apparatus are provided through which in some embodiments, and database of images have categorized levels of severity of a disease or medical condition is generated from human designation of the severity. In some embodiments, the severity of a disease or medical condition is diagnosed by comparison of a patient image to images in the database. In some embodiments, changes in the severity of a disease or medical condition of a patient are measured by comparing a patient image to images in the database.
摘要翻译：提供了系统，方法和装置，通过该系统，方法和装置，在一些实施例中，并且图像的数据库已经根据人类对严重性的指定产生疾病严重程度或医疗状况。在一些实施例中，通过将患者图像与数据库中的图像进行比较来诊断疾病或医学状况的严重性。在一些实施例中，通过将患者图像与数据库中的图像进行比较来测量患者的疾病或医疗状况的严重性的变化。

5. 发明授权

US09008394B2 Methods and apparatus for determining brain cortical thickness 有权
标题翻译：测定脑皮质厚度的方法和装置
公开(公告)号：US09008394B2
公开(公告)日：2015-04-14
申请号：US12324498
申请日：2008-11-26
申请人： Zhongmin Steve Lin , Gopal Avinash , Saad Sirohey , Ananth Mohan , Satoshi Minoshima
发明人： Zhongmin Steve Lin , Gopal Avinash , Saad Sirohey , Ananth Mohan , Satoshi Minoshima
IPC分类号： A61B5/055 , A61B5/107
CPC分类号： A61B5/1075 , A61B5/055 , G06T7/62 , G06T2207/10088 , G06T2207/30016
摘要： Methods and apparatus for determining brain cortical thickness are provided. One method includes determining an intensity profile at each of a plurality of cortical surface points of an imaged brain using brain tissue image data and calculating a cortical thickness based on a parametrically determined transition point of each intensity profile.
摘要翻译：提供了确定脑皮质厚度的方法和装置。一种方法包括使用脑组织图像数据确定成像脑的多个皮质表面点中的每一个处的强度分布，并且基于每个强度分布的参数确定的转变点来计算皮质厚度。

6. 发明申请

US20070133851A1 Method and apparatus for selecting computer-assisted algorithms based on protocol and/or parameters of an acquisistion system 审中-公开
标题翻译：基于采集系统的协议和/或参数选择计算机辅助算法的方法和装置
公开(公告)号：US20070133851A1
公开(公告)日：2007-06-14
申请号：US11301856
申请日：2005-12-12
申请人： Saad Sirohey , Gopal Avinash
发明人： Saad Sirohey , Gopal Avinash
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06F19/321 , G06K9/6253 , G06K2209/05 , G06T2207/30004 , G16H50/20
摘要： A system and method for selecting a computer algorithm for processing a medical image for a clinical purpose is enclosed. The method includes accessing image data, accessing clinical data, and accessing a structured knowledgebase. An optimal computer algorithm is selected with associated optimal operating parameters from a plurality of computer algorithms. The optimal computer algorithm may be selected based on the image data, the clinical data, and the structured knowledgebase information. The image data may be processed with the optimal computer algorithm. The structured knowledgebase may comprise a finite set of algorithms that span the possible algorithms for the clinical purpose. The image data may include meta data and anatomical information. The meta data may include modality information and image acquisition information. The computer algorithms may include computer algorithms for executing computer aided detection. The computer algorithms may also include computer algorithms for executing volume computer assisted reading.
摘要翻译：封闭了用于选择用于临床目的处理医学图像的计算机算法的系统和方法。该方法包括访问图像数据，访问临床数据和访问结构化知识库。从多个计算机算法中选择具有相关联的最佳操作参数的最优计算机算法。可以基于图像数据，临床数据和结构化知识库信息来选择最优计算机算法。图像数据可以用最优计算机算法来处理。结构化知识库可以包括跨越用于临床目的的可能算法的有限的算法集合。图像数据可以包括元数据和解剖信息。元数据可以包括模态信息和图像获取信息。计算机算法可以包括用于执行计算机辅助检测的计算机算法。计算机算法还可以包括用于执行卷计算机辅助阅读的计算机算法。

7. 发明申请

US20050152587A1 System and method for overlaying color cues on a virtual representation of an anatomical structure 有权
标题翻译：用于在解剖结构的虚拟表示上重叠颜色线索的系统和方法
公开(公告)号：US20050152587A1
公开(公告)日：2005-07-14
申请号：US10756872
申请日：2004-01-12
申请人： Saad Sirohey , Gopal Avinash , Jerome Knoplioch , Laurent Launay , Renaud Capolunghi
发明人： Saad Sirohey , Gopal Avinash , Jerome Knoplioch , Laurent Launay , Renaud Capolunghi
IPC分类号： G06K9/00 , G06T7/00 , G06T15/20 , G06T17/40
CPC分类号： G06T19/00 , G06T7/0012 , G06T2207/30028 , G06T2210/41 , G06T2219/021 , G06T2219/2012
摘要： Certain embodiments of the present invention provide a system and method for displaying a set of data with a virtually dissected anatomical structure. In an embodiment, the anatomical structure is a colon and various attributes of the colonic lumen are assigned a color. In an embodiment, a virtual dissection of the colon is created by mapping a three-dimensional data set to a two dimensional data set. A plurality of display index values are computed which correspond to the three-dimensional data set. Various colors are assigned to specific display index values. The three-dimensional display index values are mapped to a two-dimensional set of display index values. As directed by a user, various color cues may be displayed with the virtually dissected lumen to provide color highlights to various aspects of the colon, such as highlighting shape, fluid, or fecal presence.
摘要翻译：本发明的某些实施例提供了用虚拟解剖解剖结构显示一组数据的系统和方法。在一个实施例中，解剖结构是结肠，并且将结肠腔的各种属性赋予颜色。在一个实施例中，通过将三维数据集映射到二维数据集来创建冒号的虚拟解剖。计算与三维数据集相对应的多个显示索引值。各种颜色分配给特定的显示索引值。三维显示索引值被映射到二维显示索引值集合。根据使用者的指示，各种颜色提示可以与实际解剖的管腔一起显示，以便为结肠的各个方面提供颜色亮点，例如突出形状，流体或粪便存在。

8. 发明申请

US20070081707A1 Method and system for automatically generating a disease severity index 有权
标题翻译：自动产生疾病严重度指标的方法和系统
公开(公告)号：US20070081707A1
公开(公告)日：2007-04-12
申请号：US11523878
申请日：2006-09-20
申请人： Saad Sirohey , Gopal Avinash , Tamanna Bembenek
发明人： Saad Sirohey , Gopal Avinash , Tamanna Bembenek
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06F19/00 , G06F19/321 , G16H50/30 , G16H50/70
摘要： Methods and systems for automatically generating a severity index for images of anatomical features of a patient are provided. In an exemplary embodiment, an image of an anatomical feature of a patient is compared with a normal, standardized image of the same anatomical feature. Based on this comparison, a deviation image for the anatomical feature is generated that represents the degree and manner the acquired image deviates from normal for that anatomical feature. The deviation image is automatically pattern matched against multiple images of known disease severity for the anatomical feature. Based on the automated pattern match, a known disease severity, such as in the form of a severity index, is provided as corresponding anatomical feature for the patient.
摘要翻译：提供了用于自动生成患者解剖特征图像的严重性指标的方法和系统。在示例性实施例中，将患者的解剖特征的图像与相同解剖特征的正常的标准化图像进行比较。基于该比较，生成用于解剖特征的偏差图像，其表示所获取的图像从该解剖特征偏离正常的程度和方式。对于解剖特征，偏差图像与已知疾病严重程度的多个图像自动模式匹配。基于自动模式匹配，提供已知疾病严重性，例如以严重性指数的形式，作为患者的相应的解剖特征。

9. 发明申请

US20070081699A1 Systems, methods and apparatus for diagnosis of disease from categorical indices 审中-公开
标题翻译：分类指标诊断疾病的系统，方法和装置
公开(公告)号：US20070081699A1
公开(公告)日：2007-04-12
申请号：US11240609
申请日：2005-09-29
申请人： Gopal Avinash , William Bridge , Saad Sirohey , Janet Blumenfeld , Satoshi Minoshima
发明人： Gopal Avinash , William Bridge , Saad Sirohey , Janet Blumenfeld , Satoshi Minoshima
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06F19/321 , G06T2207/30016 , G16H50/20 , G16H50/30
摘要： Systems, methods and apparatus are provided through which in some embodiments, and database of images have categorized levels of severity of a disease or medical condition is generated from human designation of the severity. In some embodiments, the severity of a disease or medical condition is diagnosed by comparison of a patient image to images in the database. In some embodiments, changes in the severity of a disease or medical condition of a patient are measured by comparing a patient image to images in the database.
摘要翻译：提供了系统，方法和装置，通过该系统，方法和装置，在一些实施例中，并且图像的数据库已经根据人类对严重性的指定产生疾病严重程度或医疗状况。在一些实施例中，通过将患者图像与数据库中的图像进行比较来诊断疾病或医学状况的严重性。在一些实施例中，通过将患者图像与数据库中的图像进行比较来测量患者的疾病或医疗状况的严重性的变化。

10. 发明申请

US20060242146A1 Methods and systems for monitoring tumor burden 有权
标题翻译：监测肿瘤负担的方法和系统
公开(公告)号：US20060242146A1
公开(公告)日：2006-10-26
申请号：US11079694
申请日：2005-03-14
申请人： Kelly Piacsek , Saad Sirohey , Matthieu Ferrant , Gopal Avinash
发明人： Kelly Piacsek , Saad Sirohey , Matthieu Ferrant , Gopal Avinash
IPC分类号： G06F7/00
CPC分类号： G06K9/4609 , G06T7/0012 , G06T7/64
摘要： Methods and systems for quantification of a selected attribute of an image volume are provided. The system is configured to receive an image dataset for a volume of interest, process the dataset for a selected attribute based at least on one of shape and texture to obtain a plurality of responses, and compute an index of an aggregate of a plurality of obtained responses.
摘要翻译：提供了用于量化图像体积的所选属性的方法和系统。该系统被配置为接收感兴趣的体积的图像数据集，根据形状和纹理中的至少一个处理所选择的属性的数据集以获得多个响应，并且计算多个获得的集合的集合的索引回应。

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