公开(公告)号：US20130022255A1

公开(公告)日：2013-01-24

申请号：US13467401

申请日：2012-05-09

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/34

CPC classification number: G06K9/34 ,  G06T7/12 ,  G06T7/149 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/20096 ,  G06T2207/20116 ,  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. One or more boundary points along a boundary of the feature of interest are identified according to one or more geometric primitives with reference to the displayed view. A foreground seed curve is defined according to the one or more identified boundary points. A background field array that lies outside of, and is spaced from, the foreground seed curve by a predetermined distance, is defined. Segmentation is applied to the volume image according to foreground values obtained according to image data elements that are spatially bounded on or within the foreground seed curve and according to background field array values to create a segmented feature of interest.

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。 参照所显示的视图，根据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。 根据一个或多个所识别的边界点来定义前景种子曲线。 定义了背景场阵列，其位于前景种子曲线外部并与之前的种子曲线间隔预定距离。 根据根据在前景种子曲线上或内部空间上界定的图像数据元素获得的前景值以及根据背景场阵列值创建分割的感兴趣特征，将分割应用于体积图像。

公开(公告)号：US20100246884A1

公开(公告)日：2010-09-30

申请号：US12412438

申请日：2009-03-27

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06F19/321 ,  G06T7/42 ,  G06T2200/24 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20061 ,  G06T2207/20081 ,  G06T2207/30068 ,  G16H50/20

Abstract: A method for displaying a diagnostic image acquires the diagnostic digital image and applies one or more pattern recognition algorithms to the acquired diagnostic digital image, detecting at least one feature within the acquired diagnostic digital image. At least a portion of the acquired diagnostic digital image displays with a marking at the location of the at least one detected feature. At least one detected feature displays under a first set of image display settings for a first interval, then under at least a second set of image display settings for a second interval.

Abstract translation: 用于显示诊断图像的方法获取诊断数字图像，并且对所获取的诊断数字图像应用一个或多个模式识别算法，检测所获取的诊断数字图像中的至少一个特征。 所获取的诊断数字图像的至少一部分在所述至少一个检测到的特征的位置处以标记显示。 在第一间隔的第一组图像显示设置下显示至少一个检测到的特征，然后在至少第二组图像显示设置下显示第二间隔。

公开(公告)号：US07773791B2

公开(公告)日：2010-08-10

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 ,  A61B5/05

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。

公开(公告)号：US20100104155A1

公开(公告)日：2010-04-29

申请号：US12624635

申请日：2009-11-24

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T2207/10116 ,  G06T2207/20104 ,  G06T2207/30068

Abstract: A method for linear structure detection in mammographic images, comprising: locating a plurality of microcalcification candidate clusters in digital mammographic images; extracting a region of interest that encloses each of the candidate clusters; processing the region of interest to generate feature points that reveal geometric properties in the region; applying a line detection algorithm to the feature points to produce a line model; and analyzing the line model to determine whether a true linear structure is present in the first region of interest.

Abstract translation: 一种用于乳房X线照相图像中的线性结构检测的方法，包括：在数字乳房X光照相图像中定位多个微钙化候选聚类; 提取包围每个候选聚类的感兴趣区域; 处理感兴趣区域以产生显示该区域中的几何属性的特征点; 将线检测算法应用于特征点以产生线模型; 并且分析线模型以确定在第一感兴趣区域中是否存在真实的线性结构。

公开(公告)号：US07706617B2

公开(公告)日：2010-04-27

申请号：US11097932

申请日：2005-03-30

Applicant: Nathan D. Cahill ,  Marvin M. Goodgame ,  Shoupu Chen ,  Lawrence A. Ray

Inventor： Nathan D. Cahill ,  Marvin M. Goodgame ,  Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06K9/6218 ,  G06F17/3079 ,  G06F17/30849 ,  G06F17/30858 ,  G06F19/321 ,  G06K2209/05 ,  G11B27/28

Abstract: An image indexer for indexing a plurality of images that includes a first data structure for subsequent classification of the one or more images. The first data structure includes characteristics for at least one class. An image classifier classifies one or more individual images found in the plurality of images as classified images according to the first data structure. A second data structure performs subsequent clustering of the plurality of images, wherein the second data structure includes at least two sequential events in a set of known events. The classified images are clustered according to the second data structure, and a representative image is selected from each cluster of classified images.

Abstract translation: 一种图像索引器，用于索引包括用于所述一个或多个图像的后续分类的第一数据结构的多个图像。 第一数据结构包括至少一个类的特征。 图像分类器根据第一数据结构将在多个图像中发现的一个或多个单独图像分类为分类图像。 第二数据结构执行多个图像的后续聚类，其中第二数据结构包括一组已知事件中的至少两个顺序事件。 分类图像根据第二数据结构聚类，并且从分类图像的每个簇中选择代表图像。

公开(公告)号：US07660445B2

公开(公告)日：2010-02-09

申请号：US12104779

申请日：2008-04-17

Applicant: Lawrence A. Ray

Inventor： Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06F17/30256

Abstract: A method for selecting an emphasis image from a collection of images based on facial identification comprises the steps of: (a) obtaining a collection of digital images; (b) detecting image patterns indicative of the presence of one or more faces in the digital images, thereby identifying one or more detected faces for each image in which a face is detected; (c) recognizing one or more faces from the detected faces for each of the images in which a face is detected; and (d) scoring an image based on the relative frequency of occurrence of a recognized face within the collection of images, thereby producing an emphasis image characteristic of the most frequently occurring face in the collection of images.

Abstract translation: 基于面部识别从图像集合中选择强调图像的方法包括以下步骤：（a）获得数字图像的集合; （b）检测指示数字图像中一个或多个面部的存在的图像图案，从而识别检测到脸部的每个图像的一个或多个检测到的面部; （c）从检测到的脸部识别出面部被检测到的每个图像的一个或多个面部; 以及（d）基于图像集合内识别的面部的出现的相对频率对图像进行评分，由此产生图像集合中最常出现的面部的强调图像特征。

公开(公告)号：US20090279754A1

公开(公告)日：2009-11-12

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

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：US20090129673A1

公开(公告)日：2009-05-21

申请号：US11940380

申请日：2007-11-15

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

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

IPC: G06K9/34 ,  G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T2207/10072 ,  G06T2207/30096 ,  G06T2207/30101

Abstract: A method of image segmentation includes receiving a set of voxels, segmenting the set of voxels into a foreground group and a background group, and classifying voxels of the foreground group as either lesion voxels or normal anatomy voxels. The method also includes blocking the normal anatomy voxels and performing a second segmentation on voxels of the background group and the lesion voxels, the second segmentation forming a stage two foreground group comprising the lesion voxels and a portion of the voxels of the background group. The method further includes classifying voxels of the stage two foreground group as either stage two lesion voxels or stage two normal anatomy voxels.

Abstract translation: 图像分割的方法包括：接收一组体素，将该组体素分割为前景组和背景组，以及将前景组的体素分类为病变体素或正常解剖体素。 该方法还包括阻挡正常解剖体素并对背景组和病变体素的体素执行第二分割，第二分割形成包括病变体素和背景组的体素的一部分的阶段二前景组。 该方法还包括将阶段2前景组的体素分为第二阶段病变体素或第二阶段正常解剖体素。

公开(公告)号：US20080212851A1

公开(公告)日：2008-09-04

申请号：US12104779

申请日：2008-04-17

Applicant: Lawrence A. Ray

Inventor： Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06F17/30256

Abstract: A method for selecting an emphasis image from a collection of images based on facial identification comprises the steps of: (a) obtaining a collection of digital images; (b) detecting image patterns indicative of the presence of one or more faces in the digital images, thereby identifying one or more detected faces for each image in which a face is detected; (c) recognizing one or more faces from the detected faces for each of the images in which a face is detected; and (d) scoring an image based on the relative frequency of occurrence of a recognized face within the collection of images, thereby producing an emphasis image characteristic of the most frequently occurring face in the collection of images.

Abstract translation: 基于面部识别从图像集合中选择强调图像的方法包括以下步骤：（a）获得数字图像的集合; （b）检测指示数字图像中一个或多个面部的存在的图像图案，从而识别检测到脸部的每个图像的一个或多个检测到的面部; （c）从检测到的脸部识别出面部被检测到的每个图像的一个或多个面部; 以及（d）基于图像集合内识别的面部的出现的相对频率对图像进行评分，由此产生图像集合中最常出现的面部的强调图像特征。

公开(公告)号：US20080143718A1

公开(公告)日：2008-06-19

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: G06T17/00

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。