公开(公告)号：US08761493B2

公开(公告)日：2014-06-24

申请号：US13187596

申请日：2011-07-21

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00 ,  H04N3/00

CPC classification number: G06T3/0031 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/194 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20096 ,  G06T2207/20101 ,  G06T2207/30036

Abstract: A method for segmenting a feature of interest from a volume image acquires image data elements from the image of a subject. At least one view of the acquired volume is displayed. One or more boundary points along a boundary of the feature of interest are identified according to one or more geometric primitives defined by a user with reference to the displayed view. A foreground seed curve defined according to the one or more identified boundary points and a background seed curve encompassing and spaced apart from the foreground seed curve are formed. Segmentation is applied to the volume image according to foreground values that are spatially bounded within the foreground seed curve and according to background values that lie outside the background seed curve. An image of the segmented feature of interest is displayed.

Abstract translation: 从体积图像分割感兴趣特征的方法从被摄体的图像获取图像数据元素。 显示所获取的卷的至少一个视图。 根据由用户参考所显示的视图定义的一个或多个几何基元，来识别沿着感兴趣特征边界的一个或多个边界点。 形成根据一个或多个所识别的边界点定义的前景种子曲线和包含并与前景种子曲线间隔开的背景种子曲线。 根据前景种子曲线中空间有限的前景值，并根据位于背景种子曲线之外的背景值将分割应用于体积图像。 显示感兴趣的分段特征的图像。

公开(公告)号：US20130022252A1

公开(公告)日：2013-01-24

申请号：US13290196

申请日：2011-11-07

Applicant: Shoupu Chen ,  Lawrence A. Ray ,  Jean-Marc Inglese

Inventor： Shoupu Chen ,  Lawrence A. Ray ,  Jean-Marc Inglese

IPC: G06K9/46

CPC classification number: G06T3/0031 ,  G06K2209/05 ,  G06T3/4038

Abstract: A method for forming a panoramic image from a computed tomography image volume, acquires image data elements for one or more computed tomographic volume images of a subject, identifies a subset of the acquired computed tomographic images that contain one or more features of interest and defines, from the subset of the acquired computed tomographic images, a sub-volume having a curved shape that includes one or more of the contained features of interest. The curved shape is unfolded by defining a set of unfold lines wherein each unfold line extends at least between two curved surfaces of the curved shape sub-volume and re-aligning the image data elements within the curved shape sub-volume according to a re-alignment of the unfold lines. One or more views of the unfolded sub-volume are displayed.

Abstract translation: 一种用于从计算机断层摄影图像体积形成全景图像的方法，获取对象的一个​​或多个计算机断层摄影体积图像的图像数据元素，识别包含一个或多个感兴趣特征的所获取的计算机断层图像的子集， 从所获取的计算机断层图像的子集中，具有包括感兴趣的所包含特征中的一个或多个的具有弯曲形状的子体积。 弯曲形状通过限定一组展开线而展开，其中每个展开线至少在弯曲形状子体积的两个弯曲表面之间延伸，并且根据重新排列在曲面形状子体积内重新对准图像数据元素， 展开线对齐。 显示展开的子卷的一个或多个视图。

公开(公告)号：US08224051B2

公开(公告)日：2012-07-17

申请号：US12973035

申请日：2010-12-20

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00 ,  A61B6/00

CPC classification number: G06T7/0012 ,  G06K9/4633 ,  G06T2207/20104 ,  G06T2207/30068

Abstract: A method for detecting a linear structure in a digital mammographic image, using a processor or computer at least in part, locates at least one microcalcification candidate cluster in the image data and extracts a first region of interest that encloses the at least one microcalcification candidate cluster. The first region of interest is processed to identify feature points that correspond to geometric structures in the first region of interest. A linear detection algorithm is applied by a repeated process that selects a line model from a predefined set of line models and analyzes the line model to determine whether a linear structure is present in the first region of interest.

Abstract translation: 一种用于使用处理器或计算机至少部分地检测数字乳腺X线照相图像中的线性结构的方法，将至少一个微钙化候选聚类定位在图像数据中，并提取包围至少一个微钙化候选簇的第一感兴趣区域 。 第一感兴趣区域被处理以识别对应于第一感兴趣区域中的几何结构的特征点。 通过重复的过程应用线性检测算法，该过程从预定义的一组线模型中选择线模型，并分析线模型以确定在第一感兴趣区域中是否存在线性结构。

公开(公告)号：US08150113B2

公开(公告)日：2012-04-03

申请号：US12018247

申请日：2008-01-23

Applicant: Lawrence A. Ray ,  Richard A. Simon ,  Henry Nicponski ,  Edward B. Gindele

Inventor： Lawrence A. Ray ,  Richard A. Simon ,  Henry Nicponski ,  Edward B. Gindele

IPC: G06K9/30 ,  G06K9/34

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T7/162 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20101 ,  G06T2207/30061 ,  G06T2207/30101 ,  Y10S128/92 ,  Y10S128/922 ,  Y10S128/923

Abstract: A method and a system are disclosed for labeling an anatomical point associated with a lesion in an organ such as a lung. The method includes: a segmentation of a vessel tree anatomical structure starting from an autonomously determined initial image point; labeling the vessel segments of the vessel tree segmentation with segment labels based on a priori anatomical knowledge, thereby creating an individualized anatomical model; receiving a user-specified image point having a location from a user and locating a nearby vessel structure; tracking along the vessel structure in a direction towards a root of a parent vessel tree until a prior labeled vessel segment is encountered in the anatomical model, and assigning the label of the encountered prior labeled vessel segment from the anatomical model as an anatomical location label of the user-specified image point.

Abstract translation: 公开了用于标记与诸如肺的器官中的病变相关联的解剖点的方法和系统。 该方法包括：从自主确定的初始图像点开始的血管树解剖结构的分割; 基于先验解剖知识，用分段标签对血管树分割的血管分段进行标记，由此创建个体化解剖模型; 从用户接收具有位置的用户指定的图像点并定位附近的血管结构; 沿着血管结构沿着母体血管树的根部的方向跟踪，直到在解剖模型中遇到先前标记的血管区段，并且将解剖模型中遇到的先前标记的血管区段的标签分配为解剖学位置标签 用户指定的图像点。

公开(公告)号：US20120014571A1

公开(公告)日：2012-01-19

申请号：US12834921

申请日：2010-07-13

Applicant: Victor C. Wong ,  James R. Milch ,  Lawrence A. Ray ,  Peter D. Burns

Inventor： Victor C. Wong ,  James R. Milch ,  Lawrence A. Ray ,  Peter D. Burns

IPC: G06K9/00 ,  H04N7/18

CPC classification number: A61B1/24 ,  A61B1/00006 ,  A61B1/00009 ,  A61B1/04 ,  A61B1/0638 ,  G01J3/46 ,  G01J3/462 ,  G01J3/465 ,  G01J3/50 ,  G01J3/501 ,  G01J3/508 ,  G01J3/524

Abstract: A method and apparatus for generating a color mapping for a dental object. The method includes generating a transformation matrix according to a set of spectral reflectance data for a statistically valid sampling of teeth. Illumination is directed toward the dental object over at least a first, a second, and a third wavelength band, one wavelength band at a time. For each of a plurality of pixels in an imaging array, an image data value is obtained, corresponding to each of the at least first, second, and third wavelength bands. The transformation matrix is applied to form the color mapping by generating a set of visual color values for each of the plurality of pixels according to the obtained image data values and according to image data values obtained from a reference object at the at least first, second, and third wavelength bands. The color mapping can be stored in an electronic memory.

Abstract translation: 一种用于产生牙科物体的颜色映射的方法和装置。 该方法包括根据用于统计学上有效的牙齿取样的一组光谱反射率数据产生变换矩阵。 通过至少第一，第二和第三波长带，一次一个波长带照射朝向牙科物体。 对于成像阵列中的多个像素中的每一个，获得对应于至少第一，第二和第三波长带中的每一个的图像数据值。 应用变换矩阵以通过根据所获得的图像数据值生成一组视觉颜色值以形成颜色映射，并且根据从至少第一，第二的参考对象获得的图像数据值 和第三波长带。 颜色映射可以存储在电子存储器中。

公开(公告)号：US08077948B2

公开(公告)日：2011-12-13

申请号：US12341022

申请日：2008-12-22

Applicant: Edward B. Gindele ,  Lawrence A. Ray ,  Richard A. Simon

Inventor： Edward B. Gindele ,  Lawrence A. Ray ,  Richard A. Simon

IPC: G06K9/00

CPC classification number: G06T19/00 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/30064 ,  G06T2219/008

Abstract: A digital image editing method includes receiving a three-dimensional volume image of an anatomical object of interest, wherein the volume image is characterized by first and second mutually exclusive segmentation classes. The method also includes deriving a two-dimensional slice image from the volume image, selecting a single point on the slice image within the second segmentation class, and defining a plane in response to the selection of the single point, the plane dividing the second segmentation class into a target portion corresponding to the object and a remainder portion.

Abstract translation: 数字图像编辑方法包括接收感兴趣的解剖学对象的三维体积图像，其中体积图像的特征在于第一和第二相互排斥的分割类别。 该方法还包括从卷图像中导出二维切片图像，在第二分割类别内选择切片图像上的单个点，以及响应于单个点的选择定义平面，该平面将第二分割 类进入与对象相对应的目标部分和余数部分。

公开(公告)号：US07844087B2

公开(公告)日：2010-11-30

申请号：US11612711

申请日：2006-12-19

Applicant: Lawrence A. Ray ,  Richard A. Simon

Inventor： Lawrence A. Ray ,  Richard A. Simon

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06K9/4638 ,  G06K2209/05 ,  G06T7/11 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/30061

Abstract: A method of segmenting a lesion (910) from normal anatomy in a 3-dimensional image comprising the steps of: receiving an initial set of voxels (520) that are contained within the lesion to be segmented; growing a region which includes the lesion from the initial set of voxels; identifying a second set of voxels (530) on a surface of the normal anatomy; determining a surface containing the second set of voxels which demarks a boundary (540) between the lesion and the normal anatomy; and classifying voxels which are part of the lesion.

Abstract translation: 一种在三维图像中从正常解剖学分割病变（910）的方法，包括以下步骤：接收包含在待分割的病变内的初始体素集（520）; 生长一个区域，其中包含来自初始体素集的病变; 识别正常解剖结构的表面上的第二组体素（530）; 确定包含第二组体素的表面，其破坏病变与正常解剖结构之间的边界（540）; 并对作为病变部分的体素进行分类。

公开(公告)号：US07821570B2

公开(公告)日：2010-10-26

申请号：US11290049

申请日：2005-11-30

Applicant: Andrew C. Gallagher ,  Nathan D. Cahill ,  Gabriel Fielding ,  Lawrence A. Ray ,  Edward B. Gindele

Inventor： Andrew C. Gallagher ,  Nathan D. Cahill ,  Gabriel Fielding ,  Lawrence A. Ray ,  Edward B. Gindele

IPC: H04N5/238 ,  H04N5/232 ,  H04N5/235

CPC classification number: G06T5/007 ,  G06T5/20 ,  G06T5/40 ,  G06T2207/20012 ,  G06T2207/30201 ,  H04N5/235 ,  H04N5/2355

Abstract: A method of adjusting exposure of a digital camera based on range information, including a digital camera capturing a first digital image at a selected exposure of a scene having objects; providing range information having two or more range values indicating the distance from the digital camera to objects in the scene; using the range information and pixel values of the captured digital image to determine an exposure adjustment amount for the selected exposure; and applying the exposure adjustment amount to the digital image to produce a second digital image with adjusted exposure.

Abstract translation: 一种基于范围信息来调整数字照相机的曝光的方法，包括在具有物体的场景的选定曝光下拍摄第一数字图像的数字照相机; 提供具有指示从数字照相机到场景中的物体的距离的两个或更多个范围值的范围信息; 使用所捕获的数字图像的范围信息和像素值来确定所选曝光的曝光调整量; 以及将所述曝光调整量应用于所述数字图像，以产生具有调节曝光的第二数字图像。

公开(公告)号：US20090279755A1

公开(公告)日：2009-11-12

申请号：US12341011

申请日：2008-12-22

Applicant: Edward B. Gindele ,  Lawrence A. Ray ,  Richard A. Simon

Inventor： Edward B. Gindele ,  Lawrence A. Ray ,  Richard A. Simon

IPC: G06K9/00

CPC classification number: G06T7/11 ,  G06T2207/20104 ,  G06T2207/20156 ,  G06T2207/30004

Abstract: A method of collecting information regarding an anatomical object of interest includes displaying an image characterized by a first region and a second region, wherein the first and second regions are mutually exclusive and the object is displayed within the second region, selecting first and second points spanning the object in the displayed image, at least one of the points being within the first region, and extracting a plurality of statistical values from image voxels, lying on a line segment between the first and second points, that correspond to the object.

Abstract translation: 收集关于感兴趣的解剖学对象的信息的方法包括显示由第一区域和第二区域表征的图像，其中第一和第二区域是相互排斥的，并且在第二区域内显示对象，选择跨越的第一和第二点 所述显示图像中的对象，所述点中的至少一个位于所述第一区域内，并且从位于所述第一和第二点之间的对应于所述对象的线段上的图像体素提取多个统计值。

公开(公告)号：US20090041326A1

公开(公告)日：2009-02-12

申请号：US11834243

申请日：2007-08-06

Applicant: Shoupu Chen ,  Daoxian Heidi Zhang ,  Yajie Sun ,  Yong Chu ,  Lawrence A. Ray ,  Yang Zheng ,  Yue Shen

Inventor： Shoupu Chen ,  Daoxian Heidi Zhang ,  Yajie Sun ,  Yong Chu ,  Lawrence A. Ray ,  Yang Zheng ,  Yue Shen

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T2207/10116 ,  G06T2207/30068

Abstract: A method for image linear structure detection in medical imaging. The method includes locating microcalcification (mcc) candidate spots in a mammographic image; forming candidate clusters; assigning ranks to the candidate clusters; identifying linear structures in the neighborhood where the candidate clusters reside; and altering the ranks of the candidate clusters for which linear structures have been identified in the neighborhood.

Abstract translation: 一种医学成像中图像线性结构检测的方法。 该方法包括在乳房X光照相图像中定位微钙化（mcc）候选斑点; 形成候选聚类; 将等级分配给候选集群; 识别候选集群所在的邻域中的线性结构; 并改变邻域中已经识别出线性结构的候选聚类的行列。