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    Methods and devices useful for analyzing color medical images
    3.
    发明授权
    Methods and devices useful for analyzing color medical images 有权
    用于分析彩色医学图像的方法和设备

    公开(公告)号：US07613335B2

    公开(公告)日：2009-11-03

    申请号：US10777764

    申请日：2004-02-12

    申请人： Geoffrey McLennan ,  Martin Donnelley ,  Deepa Gopalakrishnan ,  Eric Hoffman ,  Joseph Reinhardt ,  Melissa Suter

    发明人： Geoffrey McLennan ,  Martin Donnelley ,  Deepa Gopalakrishnan ,  Eric Hoffman ,  Joseph Reinhardt ,  Melissa Suter

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4652 ,  G06T7/0012 ,  G06T7/90 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/30004

    摘要： In one embodiment, a method that includes comparing a subject color medical image to normal color medical image data; and identifying abnormal pixels from the subject color medical image. Another embodiment includes a computer readable medium comprising machine readable instructions for implementing one or more steps of that method. Another embodiment includes a device that has a field programmable gate array configured to perform one or more of the steps of that method. Another embodiment includes a device that has an application specific integrated circuit configured to perform one or more of the steps of that method.

    摘要翻译： 在一个实施例中，一种方法，其包括将主题彩色医学图像与正常彩色医学图像数据进行比较; 以及从所述被摄体彩色医学图像识别异常像素。 另一实施例包括计算机可读介质，其包括用于实现该方法的一个或多个步骤的机器可读指令。 另一个实施例包括具有被配置为执行该方法的一个或多个步骤的现场可编程门阵列的设备。 另一实施例包括具有被配置为执行该方法的一个或多个步骤的专用集成电路的设备。

    Systems and Methods for Bioluminescent Computed Tomographic Reconstruction
    5.
    发明申请
    Systems and Methods for Bioluminescent Computed Tomographic Reconstruction 有权
    生物发光计算机断层扫描重建的系统和方法

    公开(公告)号：US20120069958A1

    公开(公告)日：2012-03-22

    申请号：US13304063

    申请日：2011-11-23

    申请人： Ge Wang ,  Eric Hoffman ,  Geoffrey McLennan

    发明人： Ge Wang ,  Eric Hoffman ,  Geoffrey McLennan

    IPC分类号： H05G1/60 ,  G01N23/04

    CPC分类号： A61B5/0035 ,  A61B5/0071 ,  A61B5/0073 ,  A61B5/0077 ,  A61B5/055 ,  A61B6/032 ,  A61B6/4014 ,  A61B6/4266 ,  A61B6/4417 ,  A61B6/466 ,  A61B6/508 ,  A61B6/5247 ,  G01R33/4808 ,  G06T11/005

    摘要： An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.

    摘要翻译： 使用两个或多个成像模态协同重建对象的图像。 使用第一成像模态产生显示对象的结构信息的第一重建图像。 第一重建图像被分割，然后将对象的已知光学属性映射到第一重构图像。 检测来自物体的光信号发射并将其与第一重构图像一起登记。 然后，基于第一图像和来自第二模态的数据之间的配准之后的映射光学性质，使用第二成像模态产生第二重建图像体积。 第二重建图像描绘了物体的一些光学性质，例如生物发光源分布或光学性质，例如衰减和散射性质。

    Systems and methods for bioluminescent computed tomographic reconstruction
    6.
    发明授权
    Systems and methods for bioluminescent computed tomographic reconstruction 有权
    生物发光计算机断层扫描重建的系统和方法

    公开(公告)号：US08090431B2

    公开(公告)日：2012-01-03

    申请号：US10791140

    申请日：2004-03-02

    申请人： Ge Wang ,  Eric Hoffman ,  Geoffrey McLennan

    发明人： Ge Wang ,  Eric Hoffman ,  Geoffrey McLennan

    IPC分类号： A61B6/00

    CPC分类号： A61B5/0035 ,  A61B5/0071 ,  A61B5/0073 ,  A61B5/0077 ,  A61B5/055 ,  A61B6/032 ,  A61B6/4014 ,  A61B6/4266 ,  A61B6/4417 ,  A61B6/466 ,  A61B6/508 ,  A61B6/5247 ,  G01R33/4808 ,  G06T11/005

    摘要： An image of an object is synergistically reconstructed using two or multiple imaging modalities. A first reconstructed image, showing structural information of the object is produced using a first imaging modality. The first reconstructed image is segmented, and known optical properties of the object are then mapped to the first reconstructed image. Optical signal emissions from the object are detected and registered with the first reconstructed image. A second reconstructed image volume is then produced using a second imaging modality, based on the mapped optical properties after registration between the first image and the data from the second modality. The second reconstructed image depicts some optical property, such as a bioluminescent source distribution, or optical properties, such as, attenuation and scattering properties, of the object.

    摘要翻译： 使用两个或多个成像模态协同重建对象的图像。 使用第一成像模态产生显示对象的结构信息的第一重建图像。 第一重建图像被分割，然后将对象的已知光学属性映射到第一重构图像。 检测来自物体的光信号发射并将其与第一重构图像一起登记。 然后，基于第一图像和来自第二模态的数据之间的配准之后的映射光学性质，使用第二成像模态产生第二重建图像体积。 第二重建图像描绘了物体的一些光学性质，例如生物发光源分布或光学性质，例如衰减和散射性质。

    Methods and apparatuses for analyzing images
    9.
    发明授权
    Methods and apparatuses for analyzing images 有权
    用于分析图像的方法和装置

    公开(公告)号：US07885438B2

    公开(公告)日：2011-02-08

    申请号：US10251446

    申请日：2002-09-20

    申请人： Renuka Uppaluri ,  Theophano Mitsa ,  Eric A. Hoffman ,  Geoffrey McLennan ,  Milan Sonka

    发明人： Renuka Uppaluri ,  Theophano Mitsa ,  Eric A. Hoffman ,  Geoffrey McLennan ,  Milan Sonka

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012

    摘要： A method for automated analysis of textural differences present on an image volume. The image volume includes a plurality of volume elements, and each volume element has a gray level. The method includes defining a volume of interest (VOI); performing texture measures within the VOI; and classifying the VOI as belonging to a tissue pathology class based upon the texture measures. Computer readable media encoded with computer readable instructions for carrying out these functions. An apparatus that includes an image input adapted to receive a diagnostic medical image. The image includes a plurality of pixels, and each pixel has a particular gray level. The apparatus also includes a display for displaying a graphical user interface and the received image; and a processor adapted to perform texture measures on one or more groups of pixels within the image and classify each group of pixels to a tissue pathology class based upon the textures measures. The processor is further adapted to (1) associate a color to each group of pixels indicative of the group's tissue pathology class, (2) cause the display to display one or more of the colors on the image at the location of the associated group or groups of pixels, (3) permit a user to manually associate a tissue pathology class to a group of pixels, and (4) cause the display to display the manually-associated tissue pathology class.

    摘要翻译： 用于自动分析图像体积上存在的纹理差异的方法。 图像体积包括多个体积元素，并且每个体积元素具有灰度级。 该方法包括定义感兴趣体积（VOI）; 在VOI内执行纹理测量; 并且基于纹理测量将VOI分类为属于组织病理学类别。 用计算机可读指令编码的用于执行这些功能的计算机可读介质。 一种包括适于接收诊断医学图像的图像输入的装置。 图像包括多个像素，并且每个像素具有特定的灰度级。 该装置还包括用于显示图形用户界面和接收到的图像的显示器; 以及处理器，其适于在所述图像内的一个或多个像素组上执行纹理测量，并且基于所述纹理测量将每组像素分类到组织病理类别。 处理器还适于（1）将颜色与指示组的组织病理类别的每组像素相关联，（2）使得显示器在相关联的组的位置处的图像上显示一种或多种颜色，或 （3）允许用户将组织病理学类别手动地关联到一组像素，以及（4）使显示器显示手动相关的组织病理学类。