会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • Techniques for 3-D Elastic Spatial Registration of Multiple Modes of Measuring a Body
    • 用于测量身体的多种模式的3-D弹性空间配准技术
    • US20110311118A1
    • 2011-12-22
    • US13220942
    • 2011-08-30
    • Raj ShekharVivek Walimbe
    • Raj ShekharVivek Walimbe
    • G06K9/00
    • G01T1/1647G01T1/1611
    • Techniques for registration of multiple measurement modes of a body include receiving first and second data from different modes. Each includes measured values with coordinate values. For two mechanically aligned modes, any non-rigid registration is performed. For some modes, the non-rigid registration includes a coarse transformation and multiple fine scale transformations. The coarse transformation maximizes a coarse similarity measure. The second data is sub-divided into contiguous sub-regions. Fine transformations are determined between the sub-regions and corresponding portions of the first data to maximize a fine similarity measure. Sub-dividing and determining fine transformations repeats until stop conditions are satisfied. Transformations between the last-divided sub-regions are interpolated. Any of the fine similarity measure, a search region, interpolation method, sub-division location, and the use of rigid or non-rigid fine transformations are adaptive to properties of the first or second data so that the registration is automatic without human intervention.
    • 用于登记身体的多个测量模式的技术包括从不同模式接收第一和第二数据。 每个都包含具有坐标值的测量值。 对于两种机械对准的模式,执行任何非刚性配准。 对于一些模式,非刚性配准包括粗变换和多精细刻度变换。 粗变换使粗略的相似性度量最大化。 第二数据被细分成连续的子区域。 在子区域和第一数据的对应部分之间确定精细变换以最大化精细相似性度量。 重复分割和确定精细转换,直到满足停止条件。 内插最后划分的子区域之间的变换。 精细相似性度量,搜索区域,插值方法,子分割位置以及使用刚性或非刚性精细变换中的任何一种适应于第一或第二数据的属性,使得在没有人为干预的情况下注册是自动的。
    • 3. 发明申请
    • Method and Apparatus For Accelerated Elastic Registration of Multiple Scans of Internal Properties of a Body
    • 用于身体内部性质多次扫描的加速弹性对准的方法和装置
    • US20080317317A1
    • 2008-12-25
    • US12158090
    • 2006-12-19
    • Raj ShekharCarlos Castro-ParejaOmkar Dandekar
    • Raj ShekharCarlos Castro-ParejaOmkar Dandekar
    • G06K9/00
    • G06T3/0081G06T7/32G06T7/33G06T2207/10072G06T2207/30028G06T2207/30052G06T2207/30092
    • Techniques for accelerated elastic registration include receiving reference scan data and floating scan data, and a first transformation for mapping coordinates of scan elements from the first scan to coordinates of scan elements in the second scan. A subset of contiguous scan elements is determined. At least one of several enhancements is implemented. In one enhancement cubic spline interpolation is nested by dimensions within a subset. In another enhancement, a local joint histogram of mutual information based on the reference scan data and the floating scan data for the subset is determined and subtracted from an overall joint histogram to determine a remainder joint histogram. Each subset is then transformed, used to compute an updated local histogram, and added to the remainder joint histogram to produce an updated joint histogram. In another enhancement, a measure of similarity other than non-normalized mutual information is derived from the updated joint histogram.
    • 用于加速弹性配准的技术包括接收参考扫描数据和浮动扫描数据,以及用于将扫描元件的坐标从第一扫描映射到第二扫描中的扫描元件的坐标的第一变换。 确定连续扫描元素的子集。 至少有一个增强功能被实现。 在一个增强中,三次样条插值由子集内的维度嵌套。 在另一增强中,确定基于参考扫描数据和子集的浮动扫描数据的互信息的局部联合直方图,并从总联合直方图中减去以确定剩余联合直方图。 然后对每个子集进行变换,用于计算更新的局部直方图,并将其添加到剩余联合直方图以产生更新的关联直方图。 在另一个增强中,从更新的关联直方图中导出非非归一化互信息以外的相似性度量。
    • 4. 发明申请
    • Techniques for 3-D Elastic Spatial Registration of Multiple Modes of Measuring a Body
    • 用于测量身体的多种模式的3-D弹性空间配准技术
    • US20080265166A1
    • 2008-10-30
    • US12064628
    • 2006-08-28
    • Raj ShekharVivek Walimbe
    • Raj ShekharVivek Walimbe
    • A61N5/10
    • G01T1/1647G01T1/1611
    • Techniques for registration of multiple measurement modes of a body include receiving first and second data from different modes. Each includes measured values with coordinate values. For two mechanically aligned modes, any nonrigid registration is performed. For some modes, the nonrigid registration includes a coarse transformation and multiple fine scale transformations. The coarse transformation maximizes a coarse similarity measure. The second data is subdivided into contiguous subregions. Fine transformations are determined between the subregions and corresponding portions of the first data to maximize a fine similarity measure. Subdividing and determining fine transformations repeats until stop conditions are satisfied. Transformations between the last divided subregions are interpolated. Any of the fine similarity measure, a search region, interpolation method, sub-division location, and the use of rigid or non-rigid fine transformations are adaptive to properties of the first or second data so that the registration is automatic without human intervention.
    • 用于登记身体的多个测量模式的技术包括从不同模式接收第一和第二数据。 每个都包含具有坐标值的测量值。 对于两个机械对准的模式,执行任何非刚性对准。 对于某些模式,非刚性配准包括粗略变换和多个精细比例变换。 粗变换使粗略的相似性度量最大化。 第二个数据被细分成连续的子区域。 在子区域和第一数据的相应部分之间确定精细变换以最大化精细相似性度量。 重复细分和确定精细转换,直到满足停止条件。 内插最后分割子区域之间的变换。 精细相似性度量,搜索区域,插值方法,子分割位置以及使用刚性或非刚性精细变换中的任何一种适应于第一或第二数据的属性,使得在没有人为干预的情况下注册是自动的。
    • 6. 发明授权
    • Cardiac CT system
    • 心脏CT系统
    • US6154516A
    • 2000-11-28
    • US157028
    • 1998-09-18
    • Dominic HeuscherShalabh ChandraRaj ShekharDave Hoffmeyer
    • Dominic HeuscherShalabh ChandraRaj ShekharDave Hoffmeyer
    • A61B6/00A61B6/03G01N23/083
    • A61B6/541A61B6/032A61B6/481A61B6/488A61B6/503A61B6/504A61B6/027Y10S378/901
    • A cardiac gated spiral CT scanner (10) has a source of penetrating radiation (20) arranged for rotation about an examination region (14) having a central axis extending in a z direction. The source (20) emits a beam of radiation (22) that passes through the examination region (14) as the source (20) rotates. A patient support (30) holds a patient within the examination region (14) and translates the patient through the examination region (14) in the z direction while this source (20) is rotated such that the source (20) follows a helical path relative to the patient. A control processor (90) implements a patient-specific scan protocol in response to measured patient characteristics (for example, the patient's heart rate, the patient's breath hold time, and/or the range of coverage in the z direction based on the patient's anatomy) and scanner characteristics (for example, the number of detector rings, and/or the scan rate). Radiation detectors (40) are arranged to receive radiation from the source (20) after it has traversed the examination region (14). An ECG monitor (80) acquires ECG data from the patient. The ECG data is used to correlate phases of the patient's heart with data collected by the radiation detectors (40). An image reconstruction processor (60) reconstructs image representations of the patient based on data received from the radiation detectors (40) and ECG monitor (80). A human viewable display (70) selectively displays the image representations for assessing cardiac function.
    • 心脏门控螺旋CT扫描器(10)具有穿透辐射源(20),其布置成围绕具有在z方向上延伸的中心轴线的检查区域(14)旋转。 当源(20)旋转时,源(20)发射穿过检查区域(14)的辐射束(22)。 病人支撑件(30)将患者保持在检查区域(14)内,并且在该源(20)旋转时使患者通过检查区域(z)在z方向上平移,使得源(20)遵循螺旋路径 相对于患者。 控制处理器(90)响应于测量的患者特征(例如,患者的心率,患者的呼吸保持时间,和/或基于患者的解剖结构在z方向上的覆盖范围)实施患者特异性扫描方案 )和扫描仪特性(例如,检测器环的数量和/或扫描速率)。 辐射检测器(40)被布置成在源(20)穿过检查区域(14)之后接收来自源(20)的辐射。 ECG监测器(80)从患者获取ECG数据。 ECG数据用于将患者心脏的相位与辐射检测器(40)收集的数据相关联。 图像重建处理器(60)基于从辐射检测器(40)和ECG监视器(80)接收的数据来重建患者的图像表示。 人类可视显示器(70)选择性地显示用于评估心脏功能的图像表示。
    • 7. 发明授权
    • Method and apparatus for accelerated elastic registration of multiple scans of internal properties of a body
    • 用于加速弹性配准的身体内部属性的多次扫描的方法和装置
    • US08538108B2
    • 2013-09-17
    • US12158090
    • 2006-12-19
    • Raj ShekharCarlos Castro-ParejaOmkar Dandekar
    • Raj ShekharCarlos Castro-ParejaOmkar Dandekar
    • G06K9/32G06K9/36A61B6/03
    • G06T3/0081G06T7/32G06T7/33G06T2207/10072G06T2207/30028G06T2207/30052G06T2207/30092
    • Techniques for accelerated elastic registration include receiving reference scan data and floating scan data, and a first transformation for mapping coordinates of scan elements from the first scan to coordinates of scan elements in the second scan. A subset of contiguous scan elements is determined. At least one of several enhancements is implemented. In one enhancement cubic spline interpolation is nested by dimensions within a subset. In another enhancement, a local joint histogram of mutual information based on the reference scan data and the floating scan data for the subset is determined and subtracted from an overall joint histogram to determine a remainder joint histogram. Each subset is then transformed, used to compute an updated local histogram, and added to the remainder joint histogram to produce an updated joint histogram. In another enhancement, a measure of similarity other than non-normalized mutual information is derived from the updated joint histogram.
    • 用于加速弹性配准的技术包括接收参考扫描数据和浮动扫描数据,以及用于将扫描元件的坐标从第一扫描映射到第二扫描中的扫描元件的坐标的第一变换。 确定连续扫描元素的子集。 至少有一个增强功能被实现。 在一个增强中,三次样条插值由子集内的维度嵌套。 在另一增强中,确定基于参考扫描数据和子集的浮动扫描数据的互信息的局部联合直方图,并从总联合直方图中减去以确定剩余联合直方图。 然后对每个子集进行变换,用于计算更新的局部直方图,并将其添加到剩余联合直方图以产生更新的关联直方图。 在另一个增强中,从更新的关联直方图中导出非非归一化互信息以外的相似性度量。
    • 8. 发明授权
    • Composite images for medical procedures
    • 用于医疗程序的复合图像
    • US08207992B2
    • 2012-06-26
    • US12746513
    • 2008-12-05
    • Raj ShekharOmkar Dandekar
    • Raj ShekharOmkar Dandekar
    • G09G5/00
    • G06T5/50A61B6/037A61B6/5247G06T7/32G06T7/35G06T7/38G06T2200/28G06T2207/10081G06T2207/10104G06T2207/20016G06T2207/20021G06T2207/20221G06T2207/30004
    • Medical imaging often involves the collective use of information presented in multiple images of an individual, such as images generated through different imaging modalities (X-ray, CT, PET, etc.) The use of a composite of these images may involve image registration to adjust for the variable position and orientation discrepancies of the individual during imaging. However, registration may be complicated by soft tissue deformation between images, and implementations (particularly pure software implementations) of the mathematical models used in image registration may be computationally complex and may require up to several hours. Hardware architectures are presented that apply the mathematical techniques in an accelerated manner, thereby providing near-realtime image registration that may be of particular use for the short timeframe requirements of surgical environments. The composite image generated thereby may be used to target anatomic features of interest during various medical procedures, including surgical procedures. Moreover, such techniques may be applied to computationally difficult image processing techniques, such as the display of a composite image based at least in part on a PET image, which may otherwise be difficult to utilize in a time-sensitive manner such as a surgical setting.
    • 医学成像通常涉及对个体的多个图像中呈现的信息的集体使用,例如通过不同成像模式生成的图像(X射线,CT,PET等)。使用这些图像的复合可以涉及图像配准 在成像期间调整个体的可变位置和方向差异。 然而,由于图像之间的软组织变形,注册可能变得复杂,并且用于图像配准的数学模型的实现(特别是纯软件实现)可能在计算上是复杂的,并且可能需要长达数小时。 提出了以加速的方式应用数学技术的硬件体系结构,从而提供近乎实时的图像配准,这对于手术环境的短时间帧要求可能是特别有用的。 由此生成的复合图像可以用于在各种医疗过程(包括手术过程)中靶向感兴趣的解剖特征。 此外,这样的技术可以应用于计算上困难的图像处理技术,例如至少部分地基于PET图像显示合成图像,否则可能以时间敏感的方式(例如手术设置)难以利用 。
    • 9. 发明申请
    • COMPOSITE IMAGES FOR MEDICAL PROCEDURES
    • 用于医疗程序的复合图像
    • US20110262016A1
    • 2011-10-27
    • US12746513
    • 2008-12-05
    • Raj ShekharOmkar Dandekar
    • Raj ShekharOmkar Dandekar
    • G06K9/00
    • G06T5/50A61B6/037A61B6/5247G06T7/32G06T7/35G06T7/38G06T2200/28G06T2207/10081G06T2207/10104G06T2207/20016G06T2207/20021G06T2207/20221G06T2207/30004
    • Medical imaging often involves the collective use of information presented in multiple images of an individual, such as images generated through different imaging modalities (X-ray, CT, PET, etc.) The use of a composite of these images may involve image registration to adjust for the variable position and orientation discrepancies of the individual during imaging. However, registration may be complicated by soft tissue deformation between images, and implementations (particularly pure software implementations) of the mathematical models used in image registration may be computationally complex and may require up to several hours. Hardware architectures are presented that apply the mathematical techniques in an accelerated manner, thereby providing near-realtime image registration that may be of particular use for the short timeframe requirements of surgical environments. The composite image generated thereby may be used to target anatomic features of interest during various medical procedures, including surgical procedures. Moreover, such techniques may be applied to computationally difficult image processing techniques, such as the display of a composite image based at least in part on a PET image, which may otherwise be difficult to utilize in a time-sensitive manner such as a surgical setting.
    • 医学成像通常涉及对个体的多个图像中呈现的信息的集体使用,例如通过不同成像模式生成的图像(X射线,CT,PET等)。使用这些图像的复合可以涉及图像配准 在成像期间调整个体的可变位置和方向差异。 然而,由于图像之间的软组织变形,注册可能变得复杂,并且用于图像配准的数学模型的实现(特别是纯软件实现)可能在计算上是复杂的,并且可能需要长达数小时。 提出了以加速的方式应用数学技术的硬件体系结构,从而提供近乎实时的图像配准,这对于手术环境的短时间帧要求可能是特别有用的。 由此生成的复合图像可以用于在各种医疗过程(包括手术过程)中靶向感兴趣的解剖特征。 此外,这样的技术可以应用于计算上困难的图像处理技术,例如至少部分地基于PET图像显示合成图像,否则可能以时间敏感的方式(例如手术设置)难以利用 。
    • 10. 发明授权
    • Segmentation of regions in measurements of a body based on a deformable model
    • 基于可变形模型对身体测量中的区域进行分割
    • US07689021B2
    • 2010-03-30
    • US11513082
    • 2006-08-29
    • Raj ShekharVladimir ZagrodskyVivek Walimbe
    • Raj ShekharVladimir ZagrodskyVivek Walimbe
    • G06K9/00
    • G06K9/6207G06T7/12G06T7/149
    • Techniques for segmenting data include receiving reference segmentation data and target data. The reference segmentation data defines a mesh indicating a boundary of a physical component in a reference body. The target data includes measured values at coordinates within a target body. Coordinates for vertices of the mesh are moved toward nearby edges in values of the target data. The adjustment also may be based on deviations from adjacent vertices or from a three dimensional generalized gradient vector field. The mesh may be initially transformed by a particular transformation that automatically maximizes a similarity measure between the target data and reference data. The reference data includes measured values within the reference body. The reference segmentation also may define a second mesh that indicates a second boundary in the reference body, and the adjustment is also based on an adjusted distance between the mesh and the second mesh.
    • 用于分割数据的技术包括接收参考分割数据和目标数据。 参考分割数据定义指示参考体中的物理分量的边界的网格。 目标数据包括目标体内坐标处的测量值。 将网格顶点的坐标移动到目标数据值的附近边缘。 该调整还可以基于与相邻顶点的偏离或来自三维广义梯度矢量场。 可以首先通过自动最大化目标数据和参考数据之间的相似性度量的特定变换来变换网格。 参考数据包括参考体内的测量值。 参考分割还可以定义指示参考体中的第二边界的第二网格,并且调整也基于网格和第二网格之间的调整距离。