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    System and Method For Feature Detection In Image Sequences
    1.
    发明申请
    System and Method For Feature Detection In Image Sequences 审中-公开
    图像序列中特征检测的系统和方法

    公开(公告)号：US20070147682A1

    公开(公告)日：2007-06-28

    申请号：US11566353

    申请日：2006-12-04

    申请人： Ti-chiun Chang ,  Tong Fang ,  Jason Tyan ,  Yunqiang Chen

    发明人： Ti-chiun Chang ,  Tong Fang ,  Jason Tyan ,  Yunqiang Chen

    IPC分类号： G06K9/46

    CPC分类号： G06K9/52 ,  G06T7/246 ,  G06T2207/30004

    摘要： A method for processing image data includes inputting image data, determining a plurality of quadrature filter pairs based on filter parameter values to detect features of interest in the image data, applying the quadrature filter pairs to the image data to obtain a set of filter responses, and processing the filter responses to obtain the features of interest in the image data.

    摘要翻译： 一种处理图像数据的方法包括输入图像数据，基于滤波器参数值确定多个正交滤波器对，以检测图像数据中感兴趣的特征，将正交滤波器对应用于图像数据以获得一组滤波器响应， 并处理滤波器响应以获得图像数据中感兴趣的特征。

    Method and system for correcting butting artifacts in X-ray images
    3.
    发明授权
    Method and system for correcting butting artifacts in X-ray images 有权
    用于校正X射线图像中的伪像的方法和系统

    公开(公告)号：US08073191B2

    公开(公告)日：2011-12-06

    申请号：US12283357

    申请日：2008-09-11

    申请人： Ti-chiun Chang ,  Yunqiang Chen ,  Tong Fang ,  Sandra Martin ,  Stefan Böhm ,  Peter Durlak

    发明人： Ti-chiun Chang ,  Yunqiang Chen ,  Tong Fang ,  Sandra Martin ,  Stefan Böhm ,  Peter Durlak

    IPC分类号： G06K9/00

    CPC分类号： G06K9/346 ,  G06K2209/05 ,  G06T5/005 ,  G06T5/20 ,  G06T2207/10116 ,  G06T2207/20012 ,  G06T2207/20076 ,  G06T2207/30004

    摘要： A method and system for correcting butting artifacts in x-ray images is disclosed. In order to correct a butting artifact in an x-ray image, a butting artifact region in the x-ray image is normalized. Multiple intensity shift estimators are calculated for each pixel of each line of the butting artifact. Confidence intervals are calculated for each intensity shift estimator. A multiple hypothesis hidden Markov model (MH-HMM) is formulated based on the intensity shift operators and confidence measures subject to a smoothness constraint, and the MH-HMM is solved to determine intensity shift values for each pixel. A corrected image is generated by adjusting the intensity of each pixel of the butting artifact based on the intensity shift value for that pixel.

    摘要翻译： 公开了一种用于校正X射线图像中的伪像的方法和系统。 为了校正X射线图像中的对接伪影，对x射线图像中的对接伪影区域进行归一化。 针对对接工件的每一行的每个像素计算多个强度偏移估计量。 为每个强度偏移估计器计算置信区间。 基于强度偏移算子和基于平滑度约束的置信度度度，制定了多重假设隐马尔可夫模型（MH-HMM），并求解了MH-HMM，以确定每个像素的强度偏移值。 通过基于该像素的强度偏移值调整对接伪影的每个像素的强度来生成校正图像。

    MARKER DETECTION IN X-RAY IMAGES
    4.
    发明申请
    MARKER DETECTION IN X-RAY IMAGES 失效
    X射线图像中的标记检测

    公开(公告)号：US20110103674A1

    公开(公告)日：2011-05-05

    申请号：US12898018

    申请日：2010-10-05

    申请人： Ti-chiun Chang ,  Yunqiang Chen ,  Michelle xiaohong Yan ,  Tong Fang

    发明人： Ti-chiun Chang ,  Yunqiang Chen ,  Michelle xiaohong Yan ,  Tong Fang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00 ,  G06K2209/057 ,  G06T7/73 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/30004 ,  G06T2207/30204

    摘要： A method for detecting markers within X-ray images includes applying directional filters to a sequence of X-ray image frames. Marker candidate pixels are determined based on the output of the directional filters. Candidate pixels are grouped into clusters and distances between each possible pair of clusters is determined and the most frequently occurring distance is considered an estimated distance between markers. A first marker is detected at the cluster that most closely resembles a marker based on certain criteria and a second marker is then detected at a cluster that is the estimated distance from the first marker. The pair of first and second marker detections is scored to determine detection quality. If the detected marker pair has an acceptable score then the detected marker pair is used.

    摘要翻译： 用于检测X射线图像内的标记的方法包括对X射线图像帧序列应用方向滤波器。 基于方向滤波器的输出来确定标记候选像素。 候选像素被分组成簇，并且确定每个可能的一对簇之间的距离，并且将最常发生的距离视为标记之间的估计距离。 基于某些标准，在最接近类似于标记的群集处检测到第一标记，然后在作为距离第一标记的估计距离的群集处检测到第二标记。 对一对第一和第二标记检测进行评分以确定检测质量。 如果检测到的标记对具有可接受的分数，则使用检测到的标记对。

    SYSTEM AND METHOD FOR MULTI-IMAGE BASED STENT VISIBILITY ENHANCEMENT
    5.
    发明申请
    SYSTEM AND METHOD FOR MULTI-IMAGE BASED STENT VISIBILITY ENHANCEMENT 有权
    用于基于多图像的视觉可视性增强的系统和方法

    公开(公告)号：US20110064285A1

    公开(公告)日：2011-03-17

    申请号：US12846273

    申请日：2010-07-29

    申请人： Yunqiang Chen ,  Ti-chiun Chang ,  Michelle Xiaohong Yan ,  Tong Fang ,  Thomas Pohl ,  Stefan Böhm ,  Peter Durlak ,  Markus Roßmeier

    发明人： Yunqiang Chen ,  Ti-chiun Chang ,  Michelle Xiaohong Yan ,  Tong Fang ,  Thomas Pohl ,  Stefan Böhm ,  Peter Durlak ,  Markus Roßmeier

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6206 ,  G06K2209/057 ,  G06T5/001 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/30101

    摘要： A method for enhancing stent visibility in digital medical images includes providing a time series of 2-dimensional (2D) images of a stent in a vessel, estimating motion of the stent in a subset of images of the time series of images, estimating motion of clutter in the subset of images, where clutter comprises anatomical structures other than the stent, estimating a clutter layer in the subset of images from the estimated clutter motion, estimating a stent layer in the subset of images from the clutter layer and the estimated clutter motion, and minimizing a functional of the estimated stent motion, the estimated stent layer, the estimated clutter motion, and the estimated clutter layer to in calculate a refined stent layer image, where the refined stent layer image has enhanced visibility of the stent.

    摘要翻译： 一种用于增强数字医学图像中的支架可视性的方法包括在血管中提供支架的二维（2D）图像的时间序列，估计支架在时间序列图像的图像的子集中的运动，估计运动 在图像子集中混乱，其中杂波包括除了支架之外的解剖结构，从估计的杂波运动估计图像子集中的杂波层，估计来自杂波层的图像子集中的支架层和估计的杂波运动 并且在计算精制的支架层图像时，将精确的支架层图像具有增强的支架的可视性，并且将估计的支架运动，估计的支架层，估计的杂波运动和估计的杂波层的功能最小化。

    SYSTEM AND METHOD FOR DECOMPOSED TEMPORAL FILTERING FOR X-RAY GUIDED INTERVENTION APPLICATION
    6.
    发明申请
    SYSTEM AND METHOD FOR DECOMPOSED TEMPORAL FILTERING FOR X-RAY GUIDED INTERVENTION APPLICATION 有权
    用于X射线引导干预应用的分解时间滤波的系统和方法

    公开(公告)号：US20100092061A1

    公开(公告)日：2010-04-15

    申请号：US12571487

    申请日：2009-10-01

    申请人： Yunqiang Chen ,  Ti-chiun Chang ,  Tong Fang ,  Sandra Knoth ,  Stefan Böhm ,  Peter Durlak

    发明人： Yunqiang Chen ,  Ti-chiun Chang ,  Tong Fang ,  Sandra Knoth ,  Stefan Böhm ,  Peter Durlak

    IPC分类号： G06K9/00

    CPC分类号： G06T5/50 ,  G06T2207/20224 ,  G06T2207/30041 ,  G06T2207/30101

    摘要： A method for temporally filtering medical images during a fluoroscopy guided intervention procedure includes providing a mask image, a fluoroscopy intervention image acquired at a current time during a medical intervention procedure, forming a subtraction image by subtracting the mask image from the intervention image, calculating a motion image of a moving structure in the subtraction image, forming a residual image by subtracting the motion image from the subtraction image, temporally filtering the residual image with a filtered image from a previous time, and adding the motion image to the temporally filtered residual image.

    摘要翻译： 一种在荧光透视引导介入手术过程中对医学图像进行临时过滤的方法包括提供掩模图像，在医疗介入过程中当前时间获取的荧光透视干预图像，通过从干预图像中减去掩模图像形成减影图像， 在减法图像中的运动结构的运动图像，通过从减法图像中减去运动图像形成残差图像，并用先前时间用滤波图像对剩余图像进行时间滤波，并将运动图像与时间滤波残差图像相加 。

    System and method for multi-image based stent visibility enhancement
    8.
    发明授权
    System and method for multi-image based stent visibility enhancement 有权
    用于基于多图像的支架可见度增强的系统和方法

    公开(公告)号：US08433115B2

    公开(公告)日：2013-04-30

    申请号：US12846273

    申请日：2010-07-29

    申请人： Yunqiang Chen ,  Ti-chiun Chang ,  Michelle Xiaohong Yan ,  Tong Fang ,  Thomas Pohl ,  Stefan Böhm ,  Peter Durlak ,  Markus Roβmeier

    发明人： Yunqiang Chen ,  Ti-chiun Chang ,  Michelle Xiaohong Yan ,  Tong Fang ,  Thomas Pohl ,  Stefan Böhm ,  Peter Durlak ,  Markus Roβmeier

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6206 ,  G06K2209/057 ,  G06T5/001 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/30101

    摘要： A method for enhancing stent visibility in digital medical images includes providing a time series of 2-dimensional (2D) images of a stent in a vessel, estimating motion of the stent in a subset of images of the time series of images, estimating motion of clutter in the subset of images, where clutter comprises anatomical structures other than the stent, estimating a clutter layer in the subset of images from the estimated clutter motion, estimating a stent layer in the subset of images from the clutter layer and the estimated clutter motion, and minimizing a functional of the estimated stent motion, the estimated stent layer, the estimated clutter motion, and the estimated clutter layer to in calculate a refined stent layer image, where the refined stent layer image has enhanced visibility of the stent.

    摘要翻译： 一种用于增强数字医学图像中的支架可视性的方法包括在血管中提供支架的二维（2D）图像的时间序列，估计支架在时间序列图像的图像的子集中的运动，估计运动 在图像子集中混乱，其中杂波包括除了支架之外的解剖结构，从估计的杂波运动估计图像子集中的杂波层，估计来自杂波层的图像子集中的支架层和估计的杂波运动 并且在计算精制的支架层图像时，将精确的支架层图像具有增强的支架的可视性，并且将估计的支架运动，估计的支架层，估计的杂波运动和估计的杂波层的功能最小化。

    Marker detection in X-ray images
    9.
    发明授权
    Marker detection in X-ray images 失效
    X射线图像中的标记检测

    公开(公告)号：US08411927B2

    公开(公告)日：2013-04-02

    申请号：US12898018

    申请日：2010-10-05

    申请人： Ti-chiun Chang ,  Yunqiang Chen ,  Michelle xiaohong Yan ,  Tong Fang

    发明人： Ti-chiun Chang ,  Yunqiang Chen ,  Michelle xiaohong Yan ,  Tong Fang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00 ,  G06K2209/057 ,  G06T7/73 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/30004 ,  G06T2207/30204

    摘要： A method for detecting markers within X-ray images includes applying directional filters to a sequence of X-ray image frames. Marker candidate pixels are determined based on the output of the directional filters. Candidate pixels are grouped into clusters and distances between each possible pair of clusters is determined and the most frequently occurring distance is considered an estimated distance between markers. A first marker is detected at the cluster that most closely resembles a marker based on certain criteria and a second marker is then detected at a cluster that is the estimated distance from the first marker. The pair of first and second marker detections is scored to determine detection quality. If the detected marker pair has an acceptable score then the detected marker pair is used.

    摘要翻译： 用于检测X射线图像内的标记的方法包括对X射线图像帧序列应用方向滤波器。 基于方向滤波器的输出来确定标记候选像素。 候选像素被分组成簇，并且确定每个可能的一对簇之间的距离，并且将最常发生的距离视为标记之间的估计距离。 基于某些标准，在最接近类似于标记的群集处检测到第一标记，然后在作为距离第一标记的估计距离的群集处检测到第二标记。 对一对第一和第二标记检测进行评分以确定检测质量。 如果检测到的标记对具有可接受的分数，则使用检测到的标记对。

    Method and system for correcting butting artifacts in X-ray images
    10.
    发明申请
    Method and system for correcting butting artifacts in X-ray images 有权
    用于校正X射线图像中的伪像的方法和系统

    公开(公告)号：US20090080756A1

    公开(公告)日：2009-03-26

    申请号：US12283357

    申请日：2008-09-11

    申请人： Ti-chiun Chang ,  Yunqiang Chen ,  Tong Fang ,  Sandra Martin ,  Stefan Bohm ,  Peter Durlak

    发明人： Ti-chiun Chang ,  Yunqiang Chen ,  Tong Fang ,  Sandra Martin ,  Stefan Bohm ,  Peter Durlak

    IPC分类号： G06K9/00

    CPC分类号： G06K9/346 ,  G06K2209/05 ,  G06T5/005 ,  G06T5/20 ,  G06T2207/10116 ,  G06T2207/20012 ,  G06T2207/20076 ,  G06T2207/30004

    摘要： A method and system for correcting butting artifacts in x-ray images is disclosed. In order to correct a butting artifact in an x-ray image, a butting artifact region in the x-ray image is normalized. Multiple intensity shift estimators are calculated for each pixel of each line of the butting artifact. Confidence intervals are calculated for each intensity shift estimator. A multiple hypothesis hidden Markov model (MH-HMM) is formulated based on the intensity shift operators and confidence measures subject to a smoothness constraint, and the MH-HMM is solved to determine intensity shift values for each pixel. A corrected image is generated by adjusting the intensity of each pixel of the butting artifact based on the intensity shift value for that pixel.

    摘要翻译： 公开了一种用于校正X射线图像中的伪像的方法和系统。 为了校正X射线图像中的对接伪影，对x射线图像中的对接伪影区域进行归一化。 针对对接工件的每一行的每个像素计算多个强度偏移估计量。 为每个强度偏移估计器计算置信区间。 基于强度偏移算子和基于平滑度约束的置信度度度，制定了多重假设隐马尔可夫模型（MH-HMM），并求解了MH-HMM，以确定每个像素的强度偏移值。 通过基于该像素的强度偏移值调整对接伪影的每个像素的强度来生成校正图像。