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166 条记录 (耗时 0.032 秒)

    SYSTEM AND METHOD FOR ON-DEMAND VISUAL ENHANCEMENT OF CLINICAL CONITIONS IN IMAGES
    41.
    发明申请
    SYSTEM AND METHOD FOR ON-DEMAND VISUAL ENHANCEMENT OF CLINICAL CONITIONS IN IMAGES 审中-公开
    用于图像中临床应用的视觉增强的系统和方法

    公开(公告)号：US20080025583A1

    公开(公告)日：2008-01-31

    申请号：US11460315

    申请日：2006-07-27

    申请人： Kadri Nizar Jabri ,  Renuka Uppaluri ,  Gopal B. Avinash ,  Saad Ahmed Sirohey

    发明人： Kadri Nizar Jabri ,  Renuka Uppaluri ,  Gopal B. Avinash ,  Saad Ahmed Sirohey

    IPC分类号： A61B5/05

    CPC分类号： G06T7/0012 ,  G06T5/00 ,  G06T2207/30004 ,  G16H40/63

    摘要： A system and method for enhancing visualization of clinical conditions comprising receiving imaging data on a subject from an imaging modality, receiving user input on at least one suspected clinical condition of the subject undergoing imaging on the imaging modality, and processing the imaging data in association with a knowledgebase using an optimal image processing algorithm to enhance visualization of the at least one suspected clinical condition in at least one image.

    摘要翻译： 一种用于增强临床状况的可视化的系统和方法，包括从成像模态接收受试者的成像数据，在对成像模态进行成像的受试者的至少一个疑似临床状况上接收用户输入，以及与成像模式相关联地处理成像数据 使用最佳图像处理算法的知识库来增强至少一个图像中的所述至少一个疑似临床状况的可视化。

    System and method for analysis of multiple diseases and severities
    43.
    发明授权
    System and method for analysis of multiple diseases and severities 有权
    多种疾病和严重程度分析的系统和方法

    公开(公告)号：US08430816B2

    公开(公告)日：2013-04-30

    申请号：US12123918

    申请日：2008-05-20

    申请人： Gopal B. Avinash ,  Saad Ahmed Sirohey ,  Fausto J. Espinal ,  Zhongmin Lin ,  Ananth Mohan ,  Tamanna Bembenek

    发明人： Gopal B. Avinash ,  Saad Ahmed Sirohey ,  Fausto J. Espinal ,  Zhongmin Lin ,  Ananth Mohan ,  Tamanna Bembenek

    IPC分类号： G06K9/00 ,  G06K6/20 ,  G06K9/36 ,  G06K9/46 ,  G06K9/62 ,  G06K9/66 ,  A61B5/00 ,  A61B5/05

    CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/324 ,  G06T2207/10072 ,  G06T2207/30016 ,  G16H15/00

    摘要： A data processing technique is provided. In one embodiment, a computer-implemented method includes accessing reference deviation maps for a plurality of disease types. The reference deviation maps may include subsets of maps associated with severity levels of respective disease types, and a disease severity score may be associated with each severity level. The method may include selecting patient severity levels for multiple disease types based on the subsets of reference deviation maps. Also, the method may include automatically calculating a combined patient disease severity score based at least in part on the disease severity scores associated with the selected patient severity levels, and may include outputting a report based at least in part on the combined patient disease severity score. Additional methods, systems, and manufactures are also disclosed.

    摘要翻译： 提供了一种数据处理技术。 在一个实施例中，计算机实现的方法包括访问多种疾病类型的参考偏差图。 参考偏离图可以包括与各种疾病类型的严重性水平相关联的地图子集，并且疾病严重性评分可以与每个严重性级别相关联。 该方法可以包括基于参考偏差图的子集来选择多种疾病类型的患者严重性水平。 此外，该方法可以包括至少部分地基于与所选择的患者严重性水平相关联的疾病严重性评分来自动计算组合的患者疾病严重性评分，并且可以包括至少部分地基于组合的患者疾病严重程度评分来输出报告 。 还公开了附加的方法，系统和制造。

    Method and apparatus for virtual subtraction of stool from registration and shape based analysis of prone and supine scans of the colon
    44.
    发明授权
    Method and apparatus for virtual subtraction of stool from registration and shape based analysis of prone and supine scans of the colon 有权
    方法和装置，用于从登记的虚拟减法和结肠的俯卧和仰卧扫描的形状分析

    公开(公告)号：US08224054B2

    公开(公告)日：2012-07-17

    申请号：US12463909

    申请日：2009-05-11

    申请人： Saad Ahmed Sirohey ,  Gopal B. Avinash

    发明人： Saad Ahmed Sirohey ,  Gopal B. Avinash

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/33 ,  G06T7/38 ,  G06T7/49 ,  G06T2207/10081 ,  G06T2207/30028 ,  G06T2207/30032

    摘要： Certain embodiments of the present invention provide a system and method for identifying stool particles in virtual dissection data for a colon. A shape classification may be determined for a segmented colon by three-dimensional filtering of a prone data set and a supine data set. The shape classification may be mapped onto a prone virtual dissection image and a supine virtual dissection image. The prone data set and the supine data set may be registered using one-dimensional registration to determine a registration. Shapes may be localized based on the shape classification and the registration for the prone virtual dissection and the supine virtual dissection. A distance metric may be applied to the localized shapes to identify stool particles. The identified stool particles may be suppressed. A prone virtual dissected image and a supine virtual dissected image may be displayed having the stool particles suppressed.

    摘要翻译： 本发明的某些实施方案提供了用于鉴定结肠虚拟解剖数据中的粪便颗粒的系统和方法。 可以通过对倾斜数据集和仰卧数据集进行三维过滤来确定分割结肠的形状分类。 形状分类可以映射到俯卧虚拟解剖图像和仰卧虚拟解剖图像。 倾斜数据集和仰卧数据集可以使用一维注册来登记以确定注册。 形状可以基于形状分类和倾斜虚拟解剖和仰卧虚拟解剖的注册进行定位。 距离度量可以应用于局部形状以识别粪便颗粒。 可以抑制鉴定的粪便颗粒。 可以显示容易的虚拟解剖图像和仰卧虚拟解剖图像，其中粪便颗粒被抑制。

    Method and system for automatically generating a disease severity index
    46.
    发明授权
    Method and system for automatically generating a disease severity index 有权
    自动产生疾病严重度指标的方法和系统

    公开(公告)号：US07929737B2

    公开(公告)日：2011-04-19

    申请号：US11523878

    申请日：2006-09-20

    申请人： Saad Ahmed Sirohey ,  Gopal B. Avinash ,  Tamanna Bembenek

    发明人： Saad Ahmed Sirohey ,  Gopal B. 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。

    Methods for suppression of items and areas of interest during visualization
    47.
    发明授权
    Methods for suppression of items and areas of interest during visualization 有权
    在可视化期间抑制物品和感兴趣区域的方法

    公开(公告)号：US07868900B2

    公开(公告)日：2011-01-11

    申请号：US10844073

    申请日：2004-05-12

    申请人： Saad Ahmed Sirohey ,  Gopal B. Avinash

    发明人： Saad Ahmed Sirohey ,  Gopal B. Avinash

    IPC分类号： G09G5/02 ,  G06K9/40 ,  G06K9/00 ,  G06K9/38 ,  G06K9/42

    CPC分类号： G06T7/0012 ,  A61B6/00 ,  A61B6/03 ,  A61B6/4035 ,  G06T15/503 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/20104 ,  G06T2207/30028 ,  G06T2210/41 ,  G06T2210/62

    摘要： A method for generating an image includes accessing data of a scan of an object, using at least one characteristic of the accessed data to delineate at least one item of interest in the data and generating a 3D visualization image wherein transparency levels for at least some pixels not representing the item of interest are set according to a first set of rules, and transparency levels for at least some pixels representing an interior portion of the item of interest are set according to a second set of rules different than the first set of rules, and at least some pixels representative of a transition area are set according to a third set of rules different than the first and second sets of rules.

    摘要翻译： 一种用于生成图像的方法包括使用访问的数据的至少一个特征来访问对象的扫描的数据，以描绘数据中的至少一个感兴趣的项目，并且生成3D可视化图像，其中至少一些像素的透明度水平 根据第一组规则设置不表示感兴趣的项目，并且根据不同于第一组规则的第二组规则来设置表示感兴趣物品的内部部分的至少一些像素的透明度级别， 并且根据与第一和第二组规则不同的第三组规则来设置表示过渡区域的至少一些像素。

    Method and apparatus for creating a multi-resolution framework for improving medical imaging workflow
    50.
    发明授权
    Method and apparatus for creating a multi-resolution framework for improving medical imaging workflow 有权
    用于创建用于改善医学成像工作流程的多分辨率框架的方法和装置

    公开(公告)号：US07489825B2

    公开(公告)日：2009-02-10

    申请号：US11180270

    申请日：2005-07-13

    申请人： Saad Ahmed Sirohey ,  Gopal B. Avinash

    发明人： Saad Ahmed Sirohey ,  Gopal B. Avinash

    IPC分类号： G06K9/36

    CPC分类号： G06T5/00 ,  A61B6/027 ,  A61B6/032 ,  A61B6/482 ,  A61B6/541 ,  A61B8/00 ,  G06F19/321 ,  H04N19/62

    摘要： Method and apparatus for handling data comprises decomposing data into a plurality of resolution levels using an integer wavelet decomposition. A transform module may be used to perform forward and inverse transformations on multi-dimensional data using integer wavelet transforms. A data stream is compiled comprising the plurality of resolution levels in a predetermined order. At least one resolution level of the plurality of resolution levels associated with a workflow application is accessed by a processor, and the workflow application is performed on the at least one resolution level.

    摘要翻译： 用于处理数据的方法和装置包括使用整数小波分解将数据分解成多个分辨率级别。 变换模块可以用于使用整数小波变换对多维数据进行正向和反向变换。 以预定顺序编译包括多个分辨率级别的数据流。 与工作流应用相关联的多个分辨率级别的至少一个分辨率级别由处理器访问，并且工作流应用在至少一个分辨率级别上被执行。