公开(公告)号：US08849016B2

公开(公告)日：2014-09-30

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: G06K9/00

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：US08768027B2

公开(公告)日：2014-07-01

申请号：US12710522

申请日：2010-02-23

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00 ,  A61B6/00 ,  G06T7/00

CPC classification number: G06T7/0012 ,  A61B6/5258 ,  G06T11/005 ,  G06T2207/10081

Abstract: A method of providing a corrected reconstructed computed tomography image accesses image data for computed tomography images of a subject, identifying a subset of the computed tomography images that contain high density features. At least one high density feature is detected in each of the identified subset. The high density feature is classified and a compensation image is formed by distributing pixels representative of tissue over the classified high density feature. A difference sinogram is generated for each image in the identified subset of images by subtracting a first sinogram of the high density feature from a second sinogram of the original image. A resultant sinogram is generated for each image in the identified subset by adding a third sinogram generated according to the compensation image to the difference sinogram. The corrected reconstructed computed tomography image is formed according to the resultant sinogram generated for each image in the identified subset of images.

Abstract translation: 提供校正的重建计算机断层摄影图像的方法访问用于对象的计算机断层摄影图像的图像数据，识别包含高密度特征的计算机断层摄影图像的子集。 在所识别的每个子集中检测到至少一个高密度特征。 高密度特征被分类，并且通过在分类的高密度特征上分布代表组织的像素来形成补偿图像。 通过从原始图像的第二正弦图中减去高密度特征的第一正弦图，对识别的图像子集中的每个图像生成差异正弦图。 通过将根据补偿图像生成的第三正弦图加到差分正弦图中，为识别的子集中的每个图像生成正弦图。 根据在识别的图像子集中为每个图像生成的合成正弦图形成校正的重建计算机断层摄影图像。

公开(公告)号：US20130243276A1

公开(公告)日：2013-09-19

申请号：US13422145

申请日：2012-03-16

Applicant: Andre Souza ,  Lawrence A. Ray

Inventor： Andre Souza ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06T7/162 ,  G06T7/11 ,  G06T7/194 ,  G06T2200/04 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/20072 ,  G06T2207/20101 ,  G06T2207/30036

Abstract: A method for 3-D interactive examination of a subject tooth, executed at least in part by a computer, obtains volume image data containing at least the subject tooth and background content adjacent to the subject tooth and displays a first image from the volume data that shows at least the subject tooth and the background content. A portion of the background content in the first image is identified according to a first operator instruction. Tooth content for at least the subject tooth in the first image is identified according to a second operator instruction. At least the subject tooth is segmented from within the volume data according to the first and second operator instructions. The segmented subject tooth is then displayed.

Abstract translation: 用于至少部分由计算机执行的对象牙齿的3-D交互式检查的方法获得至少包含与所述牙齿相邻的对象牙齿和背景内容的体积图像数据，并从所述体积数据显示第一图像， 至少显示受试者牙齿和背景内容。 根据第一操作者指令来识别第一图像中的背景内容的一部分。 根据第二操作者指令识别至少第一图像中的被检齿的牙齿含量。 根据第一和第二操作者指令，至少从卷数据内分割被检齿。 然后显示分段的主题牙齿。

公开(公告)号：US08150120B2

公开(公告)日：2012-04-03

申请号：US12341000

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 ,  G06T17/00

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

Abstract: A method of bounding an anatomical object of interest in a 3-dimensional volume image includes displaying an image of at least a portion of the object, selecting a plurality of points in the displayed image, at least a first and second point of the plurality of points spanning the object, forming a non-rectilinear surface bounding the plurality of points, identifying a seed point within the surface and extracting a plurality of statistical values corresponding to image voxels disposed proximate the seed point, and classifying image voxels within the surface into a first class and a second class based on the plurality of statistical values.

Abstract translation: 在三维体积图像中界定感兴趣的解剖学对象的方法包括显示所述对象的至少一部分的图像，在所显示的图像中选择多个点，所述多个图像中的至少第一和第二点 跨越对象的点，形成界定多个点的非直线表面，识别表面内的种子点，并提取对应于靠近种子点设置的图像体素的多个统计值，以及将表面内的图像体素分类为 基于多个统计值的第一类和第二类。

公开(公告)号：US08068657B2

公开(公告)日：2011-11-29

申请号：US12211405

申请日：2008-09-16

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/62 ,  A61B6/04

CPC classification number: G06K9/6288 ,  G06T7/0012 ,  G06T2207/10116 ,  G06T2207/30068

Abstract: A method of microcalcification detection in a digital mammographic image identifies one or more potential microcalcification sites in the mammographic image according to spot clustering. Each of the one or more potential microcalcification sites is assigned either as a member of a positive candidate set or as a member of a rejected candidate set. Optionally at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set is executed, according to results from the at least one subsequent classifier process. One or more members of the rejected candidate set are selected as a reclamation candidate set according to results from the initial and any subsequent classifier process. One or more members of the reclamation candidate set are assigned either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process.

Abstract translation: 在数字乳腺X线照相图像中微钙化检测的方法根据斑点聚类识别乳房X线照相图像中的一个或多个潜在的微钙化位点。 一个或多个潜在的微钙化位点中的每一个被分配为正候选集合的成员或被拒绝的候选集的成员。 可选地，根据来自至少一个后续分类过程的结果，执行至少一个随后的分类过程，其选择性地将正候选集合的零个或多个成员分配给拒绝的候选集。 根据初始和任何后续分类过程的结果，将被拒绝的候选集的一个或多个成员选为回收候选集。 回收候选集的一个或多个成员根据回收分类过程的结果被分配回拒绝的候选集合或者被分配给正候选集合。

公开(公告)号：US20110229840A1

公开(公告)日：2011-09-22

申请号：US12727671

申请日：2010-03-19

Applicant: Rongguang Liang ,  Lawrence A. Ray

Inventor： Rongguang Liang ,  Lawrence A. Ray

IPC: A61B6/14 ,  H04N7/18 ,  G06T17/00 ,  H04N13/02

CPC classification number: G01B11/24 ,  A61B5/1077 ,  A61B5/4547 ,  A61C9/0053 ,  G01B11/25

Abstract: An apparatus for obtaining 3-D surface contour image data of a tooth has a double telecentric optical system disposed to form an image of the surface of the tooth onto an image detector array. A focus adjustment mechanism is actuable to adjust the position of either or both the double telecentric optical system and the image detector array along an optical axis to each of a sequence of focus positions. A control logic processor is in control signal communication with the focus adjustment mechanism to adjust focus position, and is in image data communication with the image detector array for receiving image data obtained by the image detector array and with a memory for storing the received image data corresponding to each of the sequence of focus positions. The control logic processor is further responsive to stored instructions for computing 3-D surface contour image data from the image data.

Abstract translation: 一种用于获得牙齿的3-D表面轮廓图像数据的装置具有双重远心光学系统，其设置成将牙齿表面的图像形成到图像检测器阵列上。 焦点调节机构是致动的，以将双远心光学系统和图像检测器阵列中的一个或两者沿着光轴的位置调整到一系列焦点位置。 控制逻辑处理器与焦点调整机构进行控制信号通信以调整对焦位置，并且与图像检测器阵列进行图像数据通信，用于接收由图像检测器阵列获得的图像数据和用于存储接收到的图像数据的存储器 对应于每个焦点位置序列。 控制逻辑处理器还响应于存储的指令，用于从图像数据计算3-D表面轮廓图像数据。

公开(公告)号：US20110142323A1

公开(公告)日：2011-06-16

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

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：US20100021036A1

公开(公告)日：2010-01-28

申请号：US12211405

申请日：2008-09-16

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/62

CPC classification number: G06K9/6288 ,  G06T7/0012 ,  G06T2207/10116 ,  G06T2207/30068

Abstract: A method of microcalcification detection in a digital mammographic image identifies one or more potential microcalcification sites in the mammographic image according to spot clustering. Each of the one or more potential microcalcification sites is assigned either as a member of a positive candidate set or as a member of a rejected candidate set. Optionally at least one subsequent classifier process that selectively assigns zero or more members of the positive candidate set to the rejected candidate set is executed, according to results from the at least one subsequent classifier process. One or more members of the rejected candidate set are selected as a reclamation candidate set according to results from the initial and any subsequent classifier process. One or more members of the reclamation candidate set are assigned either back to the rejected candidate set or to the positive candidate set according to results from a reclamation classifier process.

Abstract translation: 在数字乳腺X线照相图像中微钙化检测的方法根据斑点聚类识别乳房X线照相图像中的一个或多个潜在的微钙化位点。 一个或多个潜在的微钙化位点中的每一个被分配为正候选集合的成员或被拒绝的候选集的成员。 可选地，根据来自至少一个后续分类过程的结果，执行至少一个随后的分类过程，其选择性地将正候选集合的零个或多个成员分配给拒绝的候选集。 根据初始和任何后续分类过程的结果，将被拒绝的候选集的一个或多个成员选为回收候选集。 回收候选集的一个或多个成员根据回收分类过程的结果被分配回拒绝的候选集合或者被分配给正候选集合。

公开(公告)号：US20090279756A1

公开(公告)日：2009-11-12

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 ,  G06T15/20

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：US20080137921A1

公开(公告)日：2008-06-12

申请号：US11567857

申请日：2006-12-07

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

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

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/20161 ,  G06T2207/30064

Abstract: A method of analyzing a lesion in a medical digital image using at least one point contained within a lesion to be analyzed includes propagating a wave-front surface from the point(s) for a plurality of steps; partitioning the wave-front surface into a plurality of wave-front parts wherein each wave-front part is associated with a different portion of the wave-front surface corresponding to a previous propagation step; and analyzing at least one feature associated with each wave-front part to classify anatomical structures associated with the lesion and normal anatomy within the medical digital image.

Abstract translation: 使用包含在待分析的病变内的至少一个点来分析医学数字图像中的病变的方法包括：从多个点传播波前表面多个步骤; 将波前表面分割为多个波前部分，其中每个波前部分与波前表面的与先前传播步骤相对应的不同部分相关联; 以及分析与每个波前部分相关联的至少一个特征以对与所述医学数字图像内的病变和正常解剖结构相关联的解剖结构进行分类。