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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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2.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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3.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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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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公开(公告)号：US20080298662A1
公开(公告)日：2008-12-04
申请号：US12121865
申请日：2008-05-16
申请人： Senthil Periaswamy , Xiang Zhou , Yiqiang Zhan , Arun Krishnan
发明人： Senthil Periaswamy , Xiang Zhou , Yiqiang Zhan , Arun Krishnan
IPC分类号： G06K9/80
CPC分类号： G06T7/0012 , G06T7/62 , G06T7/68 , G06T2207/30101
摘要： A method for detecting lymph nodes in a medical image includes receiving image data. One or more regions of interest are detected from within the received image data. One or more lymph node candidates are identified using a set of predefined parameters that is particular to the detected region of interest where each lymph node candidate is located. The identifying unit may identify the one or more lymph node candidates by performing DGFR processing. The method may also include receiving user-provided adjustments to the predefined parameters that are particular to the detected regions of interest and identifying the lymph node candidates based on the adjusted parameters. The lymph node candidates identified based on the adjusted parameters may be displayed along with the image data in real-time as the adjustments are provided.
摘要翻译： 用于检测医学图像中的淋巴结的方法包括接收图像数据。 从所接收的图像数据中检测一个或多个感兴趣的区域。 使用一组预定义的参数来识别一个或多个淋巴结候选物，该组预定参数对于检测到的每个淋巴结候选者所在的感兴趣区域是特别的。 识别单元可以通过执行DGFR处理来识别一个或多个淋巴结候选。 该方法还可以包括接收用户提供的对所检测到的感兴趣区域特有的预定义参数的调整，并且基于经调整的参数来识别淋巴结候选。 随着提供调整，可以实时地显示基于调整后的参数识别的淋巴结候选以及图像数据。
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公开(公告)号：US07397936B2
公开(公告)日：2008-07-08
申请号：US10915077
申请日：2004-08-10
申请人： Senthil Periaswamy
发明人： Senthil Periaswamy
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/30028
摘要： A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.
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公开(公告)号：US20080080756A1
公开(公告)日：2008-04-03
申请号：US11877863
申请日：2007-10-24
申请人： Senthil Periaswamy
发明人： Senthil Periaswamy
IPC分类号： G06K9/46
CPC分类号： G06T7/0012 , G06T2207/30028
摘要： A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.
摘要翻译： 提供一种识别数字体积中的结肠息肉的方法，其中所述体积包括对应于3D空间中的点的域的多个值。 该方法包括选择对应于息肉的母体小波缩放函数; 对体积执行正向小波变换以获得一组小波系数，其中每个小波系数与长度尺度相关联; 对于每个长度尺度，确定变换幅度; 并且对于每个长度尺度，形成与长度尺度相关联的变换的小波系数集合。 对每个长度尺度的变换小波系数执行逆小波变换以获得重建的体积，并且分析重建的体积是否存在息肉。
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