公开(公告)号：US5377025A

公开(公告)日：1994-12-27

申请号：US980860

申请日：1992-11-24

Applicant: Kevin E. Spaulding ,  Lawrence A. Ray ,  James R. Sullivan

Inventor： Kevin E. Spaulding ,  Lawrence A. Ray ,  James R. Sullivan

IPC: H04N1/60 ,  H04N1/46

CPC classification number: H04N1/60 ,  H04N1/6019

Abstract: This invention minimizes the color errors associated with performing conversion and/or correction of color digital image data using multi-dimensional look-up tables of a limited size. By distributing the errors across the color gamut it is possible to reduce the average color error as well as the maximum color errors associated with linear or conventional linear or nonlinear, e.g. cube-root or logarithmic, remapping schemes. The resulting advantage will be color images with greatly reduced artifacts.

Abstract translation: 本发明使用有限尺寸的多维查找表来最小化与执行彩色数字图像数据的转换和/或校正相关联的颜色误差。 通过在色域上分布错误，可以减少与线性或常规线性或非线性相关联的平均颜色误差以及最大色差。 立方根或对数，重映射方案。 所产生的优点将是具有大大减少的伪影的彩色图像。

公开(公告)号：US4861140A

公开(公告)日：1989-08-29

申请号：US242260

申请日：1988-01-13

Applicant: Richard D. Lucitte ,  Paul W. Melnychuck ,  Joseph J. Murray ,  Lawrence A. Ray ,  James R. Sullivan

Inventor： Richard D. Lucitte ,  Paul W. Melnychuck ,  Joseph J. Murray ,  Lawrence A. Ray ,  James R. Sullivan

IPC: G02B27/09 ,  B29D11/00 ,  G02B3/00 ,  G03F7/00

CPC classification number: G03F7/0005 ,  B29D11/00 ,  Y10S359/90

Abstract: A method of making a thin lens having a desired high order curvature includes the steps of providing a layer of transparent photoresist; generating a continuous tone exposure pattern for exposing the photoresist such that when exposed and developed the layer of photoresist will possess the desired high order curvature; exposing the layer of photoresist; and developing the layer to produce the thin lens.

Abstract translation: PCT No.PCT / US88 / 00155 Sec。 371日期：1988年1月13日 102（e）1988年1月13日，1988年1月13日PCT。1。制造具有期望的高阶曲率的薄透镜的方法包括提供透明光致抗蚀剂层的步骤; 产生用于曝光光致抗蚀剂的连续色调曝光图案，使得当曝光和显影时，光致抗蚀剂层将具有期望的高阶曲率; 曝光光刻胶层; 并开发该层以制造薄透镜。

公开(公告)号：US5214517A

公开(公告)日：1993-05-25

申请号：US531266

申请日：1990-05-29

Applicant: James R. Sullivan ,  Lawrence A. Ray

Inventor： James R. Sullivan ,  Lawrence A. Ray

IPC: H04N1/405

CPC classification number: H04N1/4051

Abstract: A digital halftone image is produced by providing a binary bit image pattern having a minimum visual noise for each density level in the image, and the binary bit patterns being correlated in a manner that reduces visual noise resulting from transitions between patterns. The patterns are addressed by pixel density and x,y location to produce a halftone image. The patterns are generated by employing a stochastic minimization technique with a constraint to insure correlation between patterns.

Abstract translation: 通过提供对图像中的每个密度级别具有最小视觉噪声的二进制位图像图案来产生数字半色调图像，并且以减少由图案之间的转换产生的视觉噪声的方式将二进制位模式相关联。 这些图案通过像素密度和x，y位置来处理以产生半色调图像。 通过采用具有约束条件的随机最小化技术来确保模式之间的相关性来生成图案。

公开(公告)号：US09974503B2

公开(公告)日：2018-05-22

申请号：US14131694

申请日：2012-06-12

Applicant: Jay S. Schildkraut ,  Lawrence A. Ray ,  Krishnamoorthy Subramanyan

Inventor： Jay S. Schildkraut ,  Lawrence A. Ray ,  Krishnamoorthy Subramanyan

IPC: A61B6/00 ,  A61B6/03 ,  G06T19/20 ,  G06T7/11

CPC classification number: A61B6/463 ,  A61B6/032 ,  A61B6/4085 ,  A61B6/466 ,  A61B6/469 ,  A61B6/501 ,  A61B6/506 ,  A61B6/5217 ,  A61B6/5223 ,  G06T7/11 ,  G06T19/20 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/20044 ,  G06T2207/30172 ,  G06T2210/41 ,  G06T2219/2012

Abstract: A method for displaying a paranasal sinus region of a patient is executed at least in part on a computer, acquiring volume image data of the paranasal sinus region of the patient, identifying one or more airways within the paranasal sinus region from the volume image data, displaying the at least one or more airways, and highlighting one or more portions of the displayed airways that are constricted below a predetermined value.

公开(公告)号：US08964002B2

公开(公告)日：2015-02-24

申请号：US13178537

申请日：2011-07-08

Applicant: Lawrence A. Ray ,  Richard A. Simon

Inventor： Lawrence A. Ray ,  Richard A. Simon

IPC: H04N13/02 ,  A61B1/04 ,  G01S17/00 ,  A61B1/00 ,  A61B1/24 ,  G01B11/25

CPC classification number: A61B1/04 ,  A61B1/00193 ,  A61B1/24 ,  G01B11/2527 ,  G01B11/2545 ,  G01S17/00

Abstract: A method for registering a first imaging detector to a surface projects a sequence of k images toward the surface, wherein k≧4, wherein each of the k images has a pattern of lines that extend in a direction that is orthogonal to a movement direction. The pattern encodes an ordered sequence of labels, each label having k binary elements, such that, in the movement direction, any portion of the pattern that is k equal increments long encodes one label of the ordered sequence. The method obtains, for at least a first pixel in the first imaging detector, along at least one line that is parallel to the movement direction, a first sequence of k signal values indicative of the k binary elements of a first label from the ordered sequence of labels and correlates the at least the first pixel in the first imaging detector to the surface.

Abstract translation: 一种用于将第一成像检测器登记到表面的方法将k个图像的序列投影到该表面，其中k≥4，其中每个k个图像具有在与移动方向正交的方向上延伸的线条图案。 该图案对有序的标签序列进行编码，每个标签具有k个二进制元素，使得在移动方向上，模式的任何部分相等的增量长度编码有序序列的一个标签。 该方法对于第一成像检测器中的至少第一像素沿着与移动方向平行的至少一条线获得指示来自有序序列的第一标签的k个二进制元素的第一序列 的标签，并将第一成像检测器中的至少第一像素与表面相关联。

公开(公告)号：US08929635B2

公开(公告)日：2015-01-06

申请号：US13467401

申请日：2012-05-09

Applicant: Shoupu Chen ,  Lawrence A. Ray

Inventor： Shoupu Chen ,  Lawrence A. Ray

IPC: G06K9/00 ,  G06K9/34 ,  G06K9/80 ,  G06T7/00 ,  A61B5/00

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：US20130034278A1

公开(公告)日：2013-02-07

申请号：US13204646

申请日：2011-08-06

Applicant: Edward B. Gindele ,  Lawrence A. Ray

Inventor： Edward B. Gindele ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06T7/174 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/10016 ,  G06T2207/10072 ,  G06T2207/10132 ,  G06T2207/30056

Abstract: A method for providing a calculated volume data value for an organ of a patient acquires image data for a first volume image series and for at least a second volume image series for the patient and displays the first volume image series. The method responds to an instruction to generate the volume data value by identifying a seed point in the first volume image series, correlating the seed point to the second volume image series, segmenting the organ in at least the second volume image series according to the correlated seed point, and calculating the volume data value for the organ using at least the segmented second volume image series. The calculated volume data value can be displayed.

Abstract translation: 提供用于患者器官的计算体积数据值的方法获取第一体积图像序列的图像数据和用于患者的至少第二体积图像序列的图像数据并显示第一体积图像序列。 该方法响应于通过识别第一体积图像序列中的种子点来生成体数据值的指令，将种子点与第二体积图像序列相关联，将至少第二体积图像序列中的器官根据相关 种子点，并且使用至少分割的第二体积图像序列来计算器官的体积数据值。 可以显示计算的体积数据值。

公开(公告)号：US20130022251A1

公开(公告)日：2013-01-24

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

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：US20110206258A1

公开(公告)日：2011-08-25

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

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：US07738683B2

公开(公告)日：2010-06-15

申请号：US11187677

申请日：2005-07-22

Applicant: Nathan D. Cahill ,  Shoupu Chen ,  Zhaohui Sun ,  Lawrence A. Ray

Inventor： Nathan D. Cahill ,  Shoupu Chen ,  Zhaohui Sun ,  Lawrence A. Ray

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T2207/30061

Abstract: A system for the detection of abnormalities in a medical image of a subject. The system includes an examination bundle, a learning engine, and a detecting engine. The examination bundle includes at least one medical image of the subject from a first modality and at least one medical image of the subject from a second modality. The learning engine is employed for determining the characteristics of abnormalities within the at least one medical image from the first modality and the at least one medical image from the second modality. The detecting engine is employed for detecting abnormalities within at least one of the medical images comprising the examination bundle.

Abstract translation: 一种用于检测受试者的医学图像中的异常的系统。 该系统包括检查包，学习引擎和检测引擎。 检查束包括来自第一模态的受试者的至少一个医学图像和来自第二模态的受试者的至少一个医学图像。 所述学习引擎用于从所述第一模态和所述至少一个来自所述第二模态的医学图像确定所述至少一个医学图像内的异常的特征。 检测引擎用于检测包括检查束的至少一个医学图像中的异常。