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1. 发明申请

US20100128950A1 Computer-Aided Detection of Regions of Interest in Tomographic Breast Imagery 有权
标题翻译：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
申请人： Kevin Woods , Michael J. Collins , Senthil Periaswamy , Robert L. Van Uitert
发明人： Kevin Woods , Michael J. Collins , Senthil Periaswamy , Robert L. Van Uitert
IPC分类号： G06K9/00 , H05G1/60
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。

2. 发明授权

US08634622B2 Computer-aided detection of regions of interest in tomographic breast imagery 有权
标题翻译：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
申请人： Kevin Woods , Michael J. Collins , Senthil Periaswamy , Robert L. Van Uitert
发明人： Kevin Woods , Michael J. Collins , Senthil Periaswamy , Robert L. Van Uitert
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。

3. 发明申请

US20100189326A1 COMPUTER-AIDED DETECTION OF FOLDS IN MEDICAL IMAGERY OF THE COLON 审中-公开
标题翻译：计算机辅助检测胶卷医学影像中的影像
公开(公告)号：US20100189326A1
公开(公告)日：2010-07-29
申请号：US12362111
申请日：2009-01-29
申请人： Ryan McGinnis , Kevin Woods , Senthil Periaswamy , Robert L. Van Uitert
发明人： Ryan McGinnis , Kevin Woods , Senthil Periaswamy , Robert L. Van Uitert
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。

4. 发明授权

US08175351B2 Computer-aided detection and classification of suspicious masses in breast imagery 有权
标题翻译：计算机辅助检测和乳腺图像中可疑肿块的分类
公开(公告)号：US08175351B2
公开(公告)日：2012-05-08
申请号：US12211593
申请日：2008-09-16
申请人： Michael J. Collins , Kevin Woods , Brent Woods , William Pierson , Ryan McGinnis
发明人： Michael J. Collins , Kevin Woods , Brent Woods , William Pierson , Ryan McGinnis
IPC分类号： G06K9/00 , G06K9/62 , A61B6/04
CPC分类号： G06K9/6292 , G06K2209/053 , G06T7/0012 , G06T2207/30068
摘要： Methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.
摘要翻译：提出了以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或致密特征的质粒状区域的方法。在乳房的医学图像中识别出一个或多个可疑群体。在某些实施方案中，针对位于每个可疑质量计算密度的定量测量和密度的定量测量。然后，根据这两种定量方法，选择至少一种使用具有相似量化措施的真假假阳性分类方案。在某些其他实施例中，针对每个可疑质量计算乳房位置的度量。在一个实施例中，该位置确定可疑质量是否出现在乳房的实质区域的内部或外部。

5. 发明申请

US20100067754A1 COMPUTER-AIDED DETECTION AND CLASSIFICATION OF SUSPICIOUS MASSES IN BREAST IMAGERY 有权
标题翻译：乳腺成像中计算机辅助检测和分类的可疑质量
公开(公告)号：US20100067754A1
公开(公告)日：2010-03-18
申请号：US12211593
申请日：2008-09-16
申请人： Michael J. Collins , Kevin Woods , Brent Woods , William Pierson , Ryan McGinnis
发明人： Michael J. Collins , Kevin Woods , Brent Woods , William Pierson , Ryan McGinnis
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6292 , G06K2209/053 , G06T7/0012 , G06T2207/30068
摘要： Methods, a system, and a computer readable medium are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In accordance with certain embodiments, for each suspicious mass located, a quantitative measure of spiculation and quantitative measure of density are computed. At least one classification scheme is then selected for each suspicious mass according to both quantitative measures. Each classification scheme is developed using true positives and false positives with similar quantitative measures.In accordance with certain other embodiments, for each suspicious mass located, a measure of breast location is computed. At least one classification scheme is then selected for each suspicious mass according to the measure of breast location. Each classification scheme is developed using true positives and false positives that appear in the same breast location. In one embodiment, the location measure determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.
摘要翻译：提出了方法，系统和计算机可读介质，其以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或密度特征的质量样区域。在乳房的医学图像中识别出一个或多个可疑群体。根据某些实施例，对于每个可疑的质量位置，计算密度的定量测量和密度的定量测量。然后根据这两种量化措施，为每个可疑物质选择至少一种分类方案。每个分类方案是使用具有相似量化措施的真阳性和假阳性来开发的。根据某些其他实施例，对于位于每个可疑质量块，计算乳房位置的量度。然后根据乳房位置的测量，为每个可疑质量选择至少一个分类方案。每个分类方案使用出现在同一乳房位置的真阳性和假阳性进行开发。在一个实施例中，位置测量确定可疑质量是否出现在乳房的实质区域的内部或外部。

6. 发明申请

US20080008371A1 Considerations when colon segmentation differs between CAD processing and visualization 审中-公开
标题翻译：当CAD处理和可视化之间的结肠分割不同时，注意事项
公开(公告)号：US20080008371A1
公开(公告)日：2008-01-10
申请号：US11451719
申请日：2006-06-13
申请人： Kevin Woods , Michael J. Collins , Ryan Edward McGinnis
发明人： Kevin Woods , Michael J. Collins , Ryan Edward McGinnis
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/30028
摘要： A system and method for preserving CAD marks falling outside the three-dimensional rendering on a visualization display following segmentation of CT medical image slices for review by a user is disclosed. The CT medical images are processed by both a CAD algorithm and a visualization workstation. The CAD algorithm reports detected suspicious regions to the visualization workstation for display on the three-dimensional rendering of the medical images as well as creates a list of the detections to notify the user. If the detected CAD marks are not located on the three-dimensional rendering of the medical images, the user is notified. The user can the view the detected CAD marks on the two-dimensional CT medical images.
摘要翻译：公开了一种系统和方法，用于在用于用户审查的CT医学图像切片的分割之后，在可视化显示器上保留落在三维渲染之外的CAD标记。 CT医学图像由CAD算法和可视化工作站进行处理。 CAD算法报告检测到可视区域到可视化工作站，以显示医学图像的三维呈现以及创建用于通知用户的检测列表。如果检测到的CAD标记不位于医学图像的三维呈现上，则通知用户。用户可以查看二维CT医学图像上检测到的CAD标记。

7. 发明授权

US08687867B1 Computer-aided detection and classification of suspicious masses in breast imagery 有权
标题翻译：计算机辅助检测和乳腺图像中可疑肿块的分类
公开(公告)号：US08687867B1
公开(公告)日：2014-04-01
申请号：US13465808
申请日：2012-05-07
申请人： Michael J. Collins , Kevin Woods , Brent Woods , William Pierson , Ryan McGinnis
发明人： Michael J. Collins , Kevin Woods , Brent Woods , William Pierson , Ryan McGinnis
IPC分类号： G06K9/00 , A61B6/04 , G01N23/00
CPC分类号： G06K9/6292 , G06K2209/053 , G06T7/0012 , G06T2207/30068
摘要： Systems and methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.
摘要翻译：提出了系统和方法，其以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或密集特征的质量样区域。在乳房的医学图像中识别出一个或多个可疑群体。在某些实施方案中，针对位于每个可疑质量计算密度的定量测量和密度的定量测量。然后，根据这两种量化方法，选择至少一种使用具有相似量化措施的真假假阳性分类方案。在某些其他实施例中，针对每个可疑质量计算乳房位置的度量。在一个实施例中，该位置确定可疑质量是否出现在乳房的实质区域的内部或外部。

8. 发明申请

US20110026791A1 SYSTEMS, COMPUTER-READABLE MEDIA, AND METHODS FOR CLASSIFYING AND DISPLAYING BREAST DENSITY 审中-公开
标题翻译：系统，计算机可读介质和分类和显示乳腺密度的方法
公开(公告)号：US20110026791A1
公开(公告)日：2011-02-03
申请号：US12533952
申请日：2009-07-31
申请人： Michael J. Collins , Hrishikesh Haldankar , Brent Woods , Ryan McGinnis , Kevin Woods
发明人： Michael J. Collins , Hrishikesh Haldankar , Brent Woods , Ryan McGinnis , Kevin Woods
IPC分类号： G06K9/00
CPC分类号： G06K9/62 , A61B6/502 , A61B6/5217 , G06K2209/053 , G06T7/136 , G06T7/40 , G06T7/60 , G06T2207/10072 , G06T2207/10116 , G06T2207/20064 , G06T2207/30068
摘要： Systems, computer-readable media, methods, and a medical imaging system are presented that compute and output a density estimate of a breast. The density estimate may be computed using information from at least two digital images, wherein each image represents a view of at least a portion of the breast from a different specific angle. The density estimate may be computed using information from at least one digital breast image and at least one digital opposite breast image, wherein the at least one digital breast image represents a view of at least a portion of the breast from a specific angle and wherein the at least one digital opposite breast image represents a view of at least a portion of the opposite breast. The density estimate may be computed using computed parenchyma information, the parenchyma information being computed using texture information and density information derived from at least one digital image of at least a portion of the breast. The density estimate may be computed using computed parenchyma information, the parenchyma information being computed from at least one digital image using computed vessel line information, the computed vessel line information being computed from the at least one digital image.
摘要翻译：提出了计算和输出乳房密度估计的系统，计算机可读介质，方法和医学成像系统。可以使用来自至少两个数字图像的信息来计算密度估计，其中每个图像表示来自不同特定角度的乳房的至少一部分的视图。可以使用来自至少一个数字乳房图像和至少一个数字相对乳房图像的信息来计算密度估计，其中所述至少一个数字乳房图像从特定角度表示乳房的至少一部分的视图，并且其中至少一个数字相对乳房图像表示相对乳房的至少一部分的视图。可以使用计算的实质信息计算密度估计，使用纹理信息计算的薄壁信息和从至少一部分乳房的至少一个数字图像导出的密度信息。可以使用计算的实质信息来计算密度估计，使用计算的血管线信息从至少一个数字图像计算实体信息，所计算的血管线信息是从至少一个数字图像计算的。

9. 发明申请

US20120150738A1 SYSTEMS AND METHODS FOR AUTOMATED PREFUNDING OF COMMERCIAL PAYMENTS 审中-公开
标题翻译：用于自动预付商业支付的系统和方法
公开(公告)号：US20120150738A1
公开(公告)日：2012-06-14
申请号：US13316214
申请日：2011-12-09
申请人： Allen O. Cage , Steve A. Carlson , Kevin Woods
发明人： Allen O. Cage , Steve A. Carlson , Kevin Woods
IPC分类号： G06Q20/14 , G06Q20/40
CPC分类号： G06Q10/00 , G06Q20/00 , G06Q20/102
摘要： Methods and systems for prefunded accounts are disclosed, which feature controlled credit limits on cards at the time of prefunding validation, creation of files that are electronically passed to a funding source, and implementation of a single use account. Various types of funding mechanisms can be utilized, including, ACH, wire transfer, or traditional check-based systems. According to the invention, an invoice that names a buying organization can be received by an entity offering prefunded account solutions. This can result in payment instructions being generated and funds being transferred from the organization to a funding entity. Once approval of a payment is received, a funded account can be created by transferring funding information by the solutions provider on behalf of the funding entity to a payment facilitator. When the seller generates account charge instructions, funds can be transferred from the payment facilitator to the seller.
摘要翻译：披露了用于资金清算的帐户的方法和系统，其中在预付款验证时具有卡上受控的信用额度限制，创建以电子方式传递给资金来源的文件，以及实施单一使用账户。可以利用各种类型的资金机制，包括ACH，电汇或传统的基于支票的系统。根据本发明，提供购买组织的发票可以由提供预先清算的帐户解决方案的实体接收。这可能导致付款指示生成，资金从组织转移到融资实体。一旦收到付款通知，可以通过将解决方案提供商代表融资实体的资金信息转移给支付协调人，从而创建一个资金账户。当卖家产生帐户费用指示时，资金可以从支付协助人转移给卖方。

10. 发明申请

US20070214235A1 Application server for processing medical image data 审中-公开
标题翻译：用于处理医学图像数据的应用服务器
公开(公告)号：US20070214235A1
公开(公告)日：2007-09-13
申请号：US11414958
申请日：2006-05-01
申请人： Kevin Woods , Ryan McGinnis , Michael Collins
发明人： Kevin Woods , Ryan McGinnis , Michael Collins
IPC分类号： G06F15/16
CPC分类号： G06F19/321
摘要： A method and system for sharing intermediate medical image processing results among several different applications is disclosed. An application server serves as mediator between a medical image database storage, image processing applications, and a workstation display resident on a computer network. The application server polices the intermediate processing results from several different image processing applications in order for the image processing applications to share their intermediate results. By sharing the intermediate results, the application server helps to eliminate duplicate processing and inconsistent results between the image processing applications. The final image processing results are either stored on the medical image database or displayed on the workstation as needed. The image processing applications could reside on the application server or on their own separate networked computer. Alternatively, some image processing applications could reside on the application server and some on separate networked computers.
摘要翻译：公开了在不同应用中共享中间医疗图像处理结果的方法和系统。应用服务器用作医疗图像数据库存储器，图像处理应用程序和驻留在计算机网络上的工作站显示器之间的中介器。应用服务器对来自多个不同图像处理应用程序的中间处理结果进行策略处理，以使图像处理应用程序共享其中间结果。通过共享中间结果，应用服务器有助于消除图像处理应用程序之间的重复处理和不一致的结果。最终的图像处理结果存储在医学图像数据库上，或者根据需要显示在工作站上。图像处理应用程序可以驻留在应用程序服务器或其自己的独立联网计算机上。或者，一些图像处理应用可以驻留在应用服务器上，一些可以驻留在单独的联网计算机上。

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