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    • 1. 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。
    • 2. 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。
    • 5. 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 。
    • 6. 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 。