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    Automatic Alignment of Magnetic Resonance Imaging (MRI) Brain Scan By Anatomic Landmarks
    1.
    发明申请
    Automatic Alignment of Magnetic Resonance Imaging (MRI) Brain Scan By Anatomic Landmarks 有权
    磁共振成像（MRI）脑扫描自动对准解剖标志

    公开(公告)号：US20090093706A1

    公开(公告)日：2009-04-09

    申请号：US12165830

    申请日：2008-07-01

    申请人： Li Zhang ,  Carol L. Novak ,  Qing Xu ,  Chong Chen

    发明人： Li Zhang ,  Carol L. Novak ,  Qing Xu ,  Chong Chen

    IPC分类号： A61B5/055

    CPC分类号： A61B5/055 ,  A61B5/417 ,  A61B5/4504

    摘要： A method to automatically align magnetic resonance (MR) brain scans for diagnostic scan planning, including: acquiring a three-dimensional (3D) localizer image of a patient; selecting a two-dimensional (2D) coronal view and a 2D transverse view from the localizer image; identifying a mid-sagittal plane (MSP) line in each of the coronal and transverse views and calculating a 3D MSP based on the MSP lines; reconstructing the localizer image based on an equation for the 3D MSP to obtain an image of the MSP of the patient's brain; identifying crista galli (CG) and tip of the occipital bone (TOB) in the image of the MSP of the patient's brain; calculating a transformation matrix based on the MSP, CG and TOB in the image and using the transformation matrix to obtain a scan plan for the patient; and outputting the scan plan for the patient.

    摘要翻译： 一种用于自动对准用于诊断扫描计划的磁共振（MR）脑扫描的方法，包括：获取患者的三维（3D）定位器图像; 从定位器图像中选择二维（2D）冠状视图和2D横向视图; 识别每个冠状和横向视图中的中矢状面（MSP）线，并基于MSP线计算3D MSP; 基于3D MSP的等式重建定位器图像以获得患者脑的MSP的图像; 在患者大脑的MSP图像中识别嵴（CG）和枕骨顶端（TOB）; 基于图像中的MSP，CG和TOB计算变换矩阵，并使用变换矩阵获得患者的扫描方案; 并输出病人的扫描方案。

    Automatic alignment of magnetic resonance imaging (MRI) brain scan by anatomic landmarks
    2.
    发明授权
    Automatic alignment of magnetic resonance imaging (MRI) brain scan by anatomic landmarks 有权
    通过解剖学标记自动对准磁共振成像（MRI）脑扫描

    公开(公告)号：US08190232B2

    公开(公告)日：2012-05-29

    申请号：US12165830

    申请日：2008-07-01

    申请人： Li Zhang ,  Carol L. Novak ,  Qing Xu ,  Chong Chen

    发明人： Li Zhang ,  Carol L. Novak ,  Qing Xu ,  Chong Chen

    IPC分类号： A61B5/05

    CPC分类号： A61B5/055 ,  A61B5/417 ,  A61B5/4504

    摘要： A method to automatically align magnetic resonance (MR) brain scans for diagnostic scan planning, including: acquiring a three-dimensional (3D) localizer image of a patient; selecting a two-dimensional (2D) coronal view and a 2D transverse view from the localizer image; identifying a mid-sagittal plane (MSP) line in each of the coronal and transverse views and calculating a 3D MSP based on the MSP lines; reconstructing the localizer image based on an equation for the 3D MSP to obtain an image of the MSP of the patient's brain; identifying crista galli (CG) and tip of the occipital bone (TOB) in the image of the MSP of the patient's brain; calculating a transformation matrix based on the MSP, CG and TOB in the image and using the transformation matrix to obtain a scan plan for the patient; and outputting the scan plan for the patient.

    摘要翻译： 一种用于自动对准用于诊断扫描计划的磁共振（MR）脑扫描的方法，包括：获取患者的三维（3D）定位器图像; 从定位器图像中选择二维（2D）冠状视图和2D横向视图; 识别每个冠状和横向视图中的中矢状面（MSP）线，并基于MSP线计算3D MSP; 基于3D MSP的等式重建定位器图像以获得患者脑的MSP的图像; 在患者大脑的MSP图像中识别嵴（CG）和枕骨顶端（TOB）; 基于图像中的MSP，CG和TOB计算变换矩阵，并使用变换矩阵获得患者的扫描方案; 并输出病人的扫描方案。

    System and method for detecting solid components of ground glass nodules in pulmonary computed tomography images
    4.
    发明授权
    System and method for detecting solid components of ground glass nodules in pulmonary computed tomography images 有权
    用于检测肺部计算机断层摄影图像中磨玻璃结节固体成分的系统和方法

    公开(公告)号：US07747052B2

    公开(公告)日：2010-06-29

    申请号：US11555817

    申请日：2006-11-02

    申请人： Jing Huo ,  Li Zhang ,  Carol L. Novak

    发明人： Jing Huo ,  Li Zhang ,  Carol L. Novak

    IPC分类号： G06K9/00 ,  A61B6/00

    CPC分类号： A61B6/032 ,  A61B6/02 ,  A61B6/504 ,  G06T7/0012 ,  G06T2207/30048 ,  G06T2207/30101

    摘要： A method for detecting solid components in ground glass nodules (GGNs) in medical images, includes: performing an intensity-based segmentation on a segmented GGN to identify a high intensity region; and performing a shape analysis to determine whether the high intensity region is a solid component or a vessel, wherein the shape analysis comprises: computing a compactness of the high intensity region; and determining whether the high intensity region is a solid component or a vessel by using an area, a maximum distance on a distance transform map and the compactness of the region; or determining whether the high intensity region is a solid component or a vessel by scaling and normalizing the region and computing a compactness for the scaled and normalized region.

    摘要翻译： 一种用于检测医学图像中的玻璃结节（GGN）中的固体成分的方法，包括：对分割的GGN进行基于强度的分割以识别高强度区域; 并且进行形状分析以确定高强度区域是固体成分还是容器，其中形状分析包括：计算高强度区域的紧密度; 以及通过使用区域，距离变换图上的最大距离和所述区域的紧凑度来确定高强度区域是固体分量还是容器; 或者通过对该区域进行缩放和归一化并计算缩放和归一化区域的紧凑度来确定高强度区域是固体分量还是容器。

    System and method for polyp detection in tagged or non-tagged stool images
    5.
    发明授权
    System and method for polyp detection in tagged or non-tagged stool images 有权
    用于标记或非标记粪便图像中息肉检测的系统和方法

    公开(公告)号：US07853062B2

    公开(公告)日：2010-12-14

    申请号：US11468964

    申请日：2006-08-31

    申请人： Atilla Peter Kiraly ,  Carol L. Novak

    发明人： Atilla Peter Kiraly ,  Carol L. Novak

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30028 ,  G06T2207/30032

    摘要： A method for detecting polyp candidates in tagged stool or non-tagged stool images without performing stool subtraction, includes: applying a filter to locations in image data of a colon including tagged or non-tagged stool to generate a response image based on a gradient magnitude, angle, and radius in relation to another location in the image data for each of the locations, wherein the locations are indicated in the response image as tagged or non-tagged stool based on their density or brightness within the response image; and selecting locations in the response image above a threshold as polyp candidates.

    摘要翻译： 一种用于检测标记粪便或非标记粪便图像中的息肉候选的方法，而不执行粪便减法，包括：将过滤器应用于包括标记或未标记粪便的结肠图像数据中的位置，以基于梯度大小生成响应图像 基于它们在响应图像中的密度或亮度，将位置在响应图像中指示为带标记或非标记的凳子的图像数据中的相对于图像数据中的另一位置的角度和角度; 以及选择高于阈值的响应图像中的位置作为息肉候选。

    System and method for polyp visualization
    6.
    发明授权
    System and method for polyp visualization 有权
    息肉可视化的系统和方法

    公开(公告)号：US07349563B2

    公开(公告)日：2008-03-25

    申请号：US10873337

    申请日：2004-06-22

    申请人： Atilla Peter Kiraly ,  Carol L. Novak ,  Bernhard Geiger

    发明人： Atilla Peter Kiraly ,  Carol L. Novak ,  Bernhard Geiger

    IPC分类号： G06K9/00 ,  G01N23/04

    CPC分类号： G06T15/06 ,  G06T15/20 ,  G06T19/003 ,  G06T2210/41 ,  Y10S128/922

    摘要： A system and method for determining a location and a direction for viewing a protrusion, comprising: casting a plurality of rays in an outward direction from a point, wherein the point is inside a protrusion; selecting at least one of the plurality of rays for determining a location and a direction for viewing the protrusion; and determining the location and the direction for viewing the protrusion using the selected at least one of the plurality of rays.

    摘要翻译： 一种用于确定用于观察突起的位置和方向的系统和方法，包括：从一个点向外的方向铸造多个射线，其中所述点在突起内; 选择所述多个光线中的至少一个用于确定用于观察所述突起的位置和方向; 以及使用所选择的所述多个光线中的至少一个来确定所述突起的位置和方向。

    Interactive computer-aided diagnosis method and system for assisting diagnosis of lung nodules in digital volumetric medical images
    7.
    发明授权
    Interactive computer-aided diagnosis method and system for assisting diagnosis of lung nodules in digital volumetric medical images 失效
    交互式计算机辅助诊断方法和系统，用于协助诊断数字体积医学图像中的肺结节

    公开(公告)号：US06944330B2

    公开(公告)日：2005-09-13

    申请号：US09840267

    申请日：2001-04-23

    申请人： Carol L. Novak ,  Li Fan ,  Jianzhong Qian

    发明人： Carol L. Novak ,  Li Fan ,  Jianzhong Qian

    IPC分类号： A61B6/03 ,  G06F19/00 ,  G06K9/00 ,  G06T5/00 ,  G06T7/00

    CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06F19/321 ,  G06F19/324 ,  G06K9/00127 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10081 ,  G06T2207/20012 ,  G06T2207/20132 ,  G06T2207/20156 ,  G06T2207/30064 ,  G16H10/60 ,  G16H15/00 ,  G16H40/63 ,  G16H50/50

    摘要： A computer-assisted diagnosis method for assisting diagnosis of anatomical structures in a digital volumetric medical image of at least one lung includes identifying an anatomical structure of interest in the volumetric digital medical image. The anatomical structure of interest is automatically segmented, in real-time, in a predefined volume of interest (VOI). Quantitative measurements of the anatomical structure of interest are automatically computed, real-time. A result of the segmenting step and a result of the computing step are displayed, in real-time. A likelihood that the anatomical structure of interest corresponds to a disease or an area warranting further investigation is estimating, in real-time, based on predefined criteria and the quantitative measurements. A warning is generated, in real-time, when the likelihood is above a predefined threshold.

    摘要翻译： 用于辅助诊断至少一个肺的数字体积医学图像中的解剖结构的计算机辅助诊断方法包括识别体积数字医学图像中感兴趣的解剖结构。 感兴趣的解剖结构被实时地以预定义的感兴趣体积（VOI）自动分段。 自动计算感兴趣解剖结构的定量测量，实时测量。 实时地显示分割步骤的结果和计算步骤的结果。 感兴趣的解剖结构对应于疾病或需要进一步调查的区域的可能性实时地基于预定义的标准和定量测量来估计。 当可能性高于预定义的阈值时，实时地产生警告。

    Omnidirectional visual image detector and processor
    8.
    发明授权
    Omnidirectional visual image detector and processor 失效
    全方位视觉图像检测器和处理器

    公开(公告)号：US5920337A

    公开(公告)日：1999-07-06

    申请号：US759920

    申请日：1996-12-04

    申请人： Martin S. Glassman ,  Russell E. Gorr ,  Thomas R. Hancock ,  Stephen J. Judd ,  Carol L. Novak ,  Barak A. Pearlmutter ,  Scott T. Rickard, Jr.

    发明人： Martin S. Glassman ,  Russell E. Gorr ,  Thomas R. Hancock ,  Stephen J. Judd ,  Carol L. Novak ,  Barak A. Pearlmutter ,  Scott T. Rickard, Jr.

    IPC分类号： G01C15/00 ,  H04N7/18

    CPC分类号： G01C15/00 ,  H04N7/181

    摘要： A reflective rotund lens is positioned for projecting a panoramic picture of its horizontal surroundings at a given elevation onto a CCD array, for converting the picture into "pixel form" or an image signal. The image signal is digitized via an A/D converter circuit. A digital signal processor system is programmed for extracting a strip of pixel locations representative of an image ring mapped to pixel locations via superimposition upon the image, whereby all pixel locations outside of the image ring are eliminated by passing the pixels thereof through said A/D converter circuit at a rate higher than the conversion rate of the A/D converter circuit.

    摘要翻译： 定位反射圆形透镜，用于将给定高度的水平环境的全景图像投影到CCD阵列上，用于将图像转换为“像素形式”或图像信号。 图像信号通过A / D转换电路进行数字化。 数字信号处理器系统被编程用于通过叠加在图像上来提取表示映射到像素位置的图像环的像素位置的条带，由此通过使其像素通过所述A / D来消除图像环外的所有像素位置 转换器电路的速率高于A / D转换器电路的转换速率。

    VISUALIZATION OF ABNORMALITIES OF AIRWAY WALLS AND LUMENS
    9.
    发明申请
    VISUALIZATION OF ABNORMALITIES OF AIRWAY WALLS AND LUMENS 审中-公开
    可视化航空公司和公路的不正常现象

    公开(公告)号：US20110071383A1

    公开(公告)日：2011-03-24

    申请号：US12794825

    申请日：2010-06-07

    申请人： Carol L. Novak ,  Benjamin L. Odry

    发明人： Carol L. Novak ,  Benjamin L. Odry

    IPC分类号： A61B5/055 ,  G06T15/00 ,  G06G7/48

    CPC分类号： A61B5/1075 ,  G06F19/321 ,  G06T11/206 ,  G16H15/00 ,  G16H50/50

    摘要： An exemplary embodiment of the present invention includes a method of visualizing an airway of a bronchial tree. The method includes generating a tree model from an airway segmentation of a bronchial tree, determining a lumen, a wall thickness, and an adjacent artery for a branch of the tree model, determining whether the lumen of the branch has a first abnormal state and the wall thickness of the branch has a second abnormal state based on the adjacent artery, and illustrating the branch in one of a plurality of visually distinct styles based on the first and second abnormal states.

    摘要翻译： 本发明的示例性实施例包括可视化支气管树的气道的方法。 该方法包括从支气管树的气道分割生成树模型，确定树模型的分支的管腔，壁厚和相邻动脉，确定分支的管腔是否具有第一异常状态，并且 分支的壁厚基于相邻的动脉具有第二异常状态，并且基于第一和第二异常状态示出以多个视觉上不同的风格之一中的分支。