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1.发明授权Systems and methods for identifying suspicious anomalies using information from a plurality of images of an anatomical colon under study 有权使用来自正在研究的解剖结肠的多个图像的信息来识别可疑异常的系统和方法公开(公告)号：US08213700B2
公开(公告)日：2012-07-03
申请号：US12415664
申请日：2009-03-31
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/053 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/30032
摘要： Systems, computer-readable media, and methods are presented that identify suspicious anomalies in a colon with higher sensitivity and at a lower false positive rate. A plurality of images of an anatomical colon is acquired. Candidate suspicious anomalies are identified in each image. The candidate suspicious anomalies across images are then compared using registration and matching. Features of candidate suspicious anomalies across images may be jointly evaluated to perform classification.
摘要翻译： 提出了系统，计算机可读介质和方法，其以更高的灵敏度和更低的假阳性率鉴定结肠中的可疑异常。 获取解剖结肠的多个图像。 每个图像中都有可疑的可疑异常。 然后通过注册和匹配来比较跨图像的候选可疑异常。 跨图像的候选可疑异常的特征可以联合评估以进行分类。
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2.发明申请SYSTEMS, COMPUTER-READABLE MEDIA, AND METHODS FOR THE CLASSIFICATION OF ANOMALIES IN VIRTUAL COLONOGRAPHY MEDICAL IMAGE PROCESSING 审中-公开系统，计算机可读介质，以及虚拟组织医学图像处理中异常分类的方法公开(公告)号：US20110206250A1
公开(公告)日：2011-08-25
申请号：US12711759
申请日：2010-02-24
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K2209/051 , G06K2209/057 , G06T2207/10081 , G06T2207/30032
摘要： This discloses methods and systems for the processing of medical image data of a colon acquired with an imaging device, such as a computerized tomography (“CT”) scanner and more particularly, to methods and systems for the classification of structures or objects in said medical image data. The disclosed methods and systems analyze image data for objects such as rectal tubes or stools, or for clusters of suspicious regions, and may eliminate such objects from further analysis prior to presenting potential polyps to a user.
摘要翻译： 这公开了用于处理用诸如计算机断层摄影（“CT”）扫描仪的成像装置获取的结肠的医学图像数据的处理方法和系统，更具体地，涉及用于在所述医学中分类结构或物体的方法和系统 图像数据。 公开的方法和系统分析诸如直肠管或粪便之类的物体或可疑区域的集束的图像数据，并且可以在向用户呈现潜在的息肉之前将这些物体进一步分析。
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公开(公告)号：US20100189326A1
公开(公告)日：2010-07-29
申请号：US12362111
申请日：2009-01-29
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K2209/053 , G06T2207/10081 , G06T2207/30032
摘要： The application discloses computer-based apparatus and methods for analysis of images of the colon to assist in the detection of colonic polyps. The apparatus and methods include the detection, classification and display of candidate colonic folds.
摘要翻译： 本申请公开了用于分析结肠图像的基于计算机的装置和方法，以帮助检测结肠息肉。 该装置和方法包括候选结肠折叠的检测，分类和显示。
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4.发明申请SYSTEMS AND METHODS FOR IDENTIFYING SUSPICIOUS ANOMALIES USING INFORMATION FROM A PLURALITY OF IMAGES OF AN ANATOMICAL COLON UNDER STUDY 有权使用来自研究中的解剖学图像的多个图像的信息来识别可疑异常的系统和方法公开(公告)号：US20100246912A1
公开(公告)日：2010-09-30
申请号：US12415664
申请日：2009-03-31
CPC分类号： G06K9/00 , G06K2209/053 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/30032
摘要： Systems, computer-readable media, and methods are presented that identify suspicious anomalies in a colon with higher sensitivity and at a lower false positive rate. A plurality of images of an anatomical colon is acquired. Candidate suspicious anomalies are identified in each image. The candidate suspicious anomalies across images are then compared using registration and matching. Features of candidate suspicious anomalies across images may be jointly evaluated to perform classification.
摘要翻译： 提出了系统，计算机可读介质和方法，其以更高的灵敏度和更低的假阳性率鉴定结肠中的可疑异常。 获取解剖结肠的多个图像。 每个图像中都有可疑的可疑异常。 然后通过注册和匹配来比较跨图像的候选可疑异常。 跨图像的候选可疑异常的特征可以联合评估以进行分类。
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5.发明申请公开(公告)号：US20100183210A1
公开(公告)日：2010-07-22
申请号：US12357545
申请日：2009-01-22
IPC分类号： G06K9/00
CPC分类号： G06K9/46 , G06K2209/053 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/20036 , G06T2207/30032
摘要： The application discloses computer-based apparatus and methods for analysis of images of the colon to assist in the detection of colonic polyps. The apparatus and methods include the classification of anomalies which are suspected colonic polyps by morphological types, and the use of information about the morphological type to assist in the determination of whether the anomaly is a polyp.
摘要翻译： 本申请公开了用于分析结肠图像的基于计算机的装置和方法，以帮助检测结肠息肉。 该装置和方法包括通过形态类型对疑似结肠息肉的异常进行分类，以及使用关于形态类型的信息来帮助确定异常是否是息肉。
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6.发明申请Computer-Aided Detection of Regions of Interest in Tomographic Breast Imagery 有权计算机辅助检测断层乳腺成像中的感兴趣区域公开(公告)号：US20100128950A1
公开(公告)日：2010-05-27
申请号：US12579898
申请日：2009-10-15
CPC分类号： A61B6/5217 , A61B6/03 , A61B6/502 , G06K9/3233 , G06K2209/053 , G06T7/0012 , G06T2207/10072 , G06T2207/10124 , G06T2207/20104 , G06T2207/20108 , G06T2207/30068
摘要： Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest.
摘要翻译： 公开了包括处理器，输入设备和输出设备的方法和相关系统，其检测断层图像乳房图像中的感兴趣区域。 所述方法可以包括：获取断层摄影乳房图像数据; 从断层图像乳房图像数据中导出多个合成子体积; 其中每个子体积由平行的平面顶部和底部表面限定; 其中连续子体积的平面顶表面和底表面彼此平行; 并且其中子体积的顶部平坦表面偏离先前子体积的顶部平坦表面，使得连续的子体积重叠; 对于每个子体积，导出二维图像; 对于每个二维图像，识别其中感兴趣的区域; 从多个确定的感兴趣区域中产生潜在临床兴趣的至少一个感兴趣区域; 并输出与潜在临床感兴趣的至少一个感兴趣的衍生区域相关联的信息。
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7.发明授权Computer-aided detection of regions of interest in tomographic breast imagery 有权计算机辅助检测断层摄影乳腺成像感兴趣区域公开(公告)号：US08634622B2
公开(公告)日：2014-01-21
申请号：US12579898
申请日：2009-10-15
IPC分类号： A61B6/03
CPC分类号： A61B6/5217 , A61B6/03 , A61B6/502 , G06K9/3233 , G06K2209/053 , G06T7/0012 , G06T2207/10072 , G06T2207/10124 , G06T2207/20104 , G06T2207/20108 , G06T2207/30068
摘要： Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest.
摘要翻译： 公开了包括处理器，输入设备和输出设备的方法和相关系统，其检测断层图像乳房图像中的感兴趣区域。 所述方法可以包括：获取断层摄影乳房图像数据; 从断层图像乳房图像数据中导出多个合成子体积; 其中每个子体积由平行的平面顶部和底部表面限定; 其中连续子体积的平面顶表面和底表面彼此平行; 并且其中子体积的顶部平坦表面偏离先前子体积的顶部平坦表面，使得连续的子体积重叠; 对于每个子体积，导出二维图像; 对于每个二维图像，识别其中感兴趣的区域; 从多个确定的感兴趣区域中产生潜在临床兴趣的至少一个感兴趣区域; 并输出与潜在临床感兴趣的至少一个感兴趣的衍生区域相关联的信息。
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