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    System and Method For Feature Detection In Ultrasound Images
    1.
    发明申请
    System and Method For Feature Detection In Ultrasound Images 有权
    超声图像中特征检测的系统和方法

    公开(公告)号：US20070242864A1

    公开(公告)日：2007-10-18

    申请号：US11733281

    申请日：2007-04-10

    申请人： Gregory G. Slabaugh ,  Gozde Unal ,  Ti-chiun Chang

    发明人： Gregory G. Slabaugh ,  Gozde Unal ,  Ti-chiun Chang

    IPC分类号： G06K9/00

    CPC分类号： G06K9/40 ,  G06K9/4609

    摘要： A system and method for feature detection in ultrasound images is disclosed. The method estimates speckle distributions in windows on opposing sides of a pixel of an ultrasound image. The divergence is calculated for the pixel between the estimated speckle distributions in the windows. These steps are performed for each pixel in the ultrasound image, and a feature map is generated based on the divergence calculated between the estimated speckle distributions for each pixel.

    摘要翻译： 公开了一种用于超声图像中的特征检测的系统和方法。 该方法估计超声图像的像素的相对侧的窗口中的斑点分布。 对于窗口中估计的斑点分布之间的像素计算发散。 对超声图像中的每个像素执行这些步骤，并且基于在每个像素的估计散斑分布之间计算的发散度来生成特征图。

    System and method for feature detection in ultrasound images
    2.
    发明授权
    System and method for feature detection in ultrasound images 有权
    超声图像中特征检测的系统和方法

    公开(公告)号：US08157736B2

    公开(公告)日：2012-04-17

    申请号：US11733281

    申请日：2007-04-10

    申请人： Gregory G. Slabaugh ,  Gozde Unal ,  Ti-chiun Chang

    发明人： Gregory G. Slabaugh ,  Gozde Unal ,  Ti-chiun Chang

    IPC分类号： A61B8/00 ,  A61B8/14

    CPC分类号： G06K9/40 ,  G06K9/4609

    摘要： A system and method for feature detection in ultrasound images is disclosed. The method estimates speckle distributions in windows on opposing sides of a pixel of an ultrasound image. The divergence is calculated for the pixel between the estimated speckle distributions in the windows. These steps are performed for each pixel in the ultrasound image, and a feature map is generated based on the divergence calculated between the estimated speckle distributions for each pixel.

    摘要翻译： 公开了一种用于超声图像中的特征检测的系统和方法。 该方法估计超声图像的像素的相对侧的窗口中的斑点分布。 对于窗口中估计的斑点分布之间的像素计算发散。 对超声图像中的每个像素执行这些步骤，并且基于在每个像素的估计散斑分布之间计算的发散度来生成特征图。

    System and method for decomposed temporal filtering for X-ray guided intervention application
    6.
    发明授权
    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：US08355557B2

    公开(公告)日：2013-01-15

    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 ,  A61B6/02 ,  A61B6/00

    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 。

    Method and system for human vision model guided medical image quality assessment
    7.
    发明授权
    Method and system for human vision model guided medical image quality assessment 有权
    人类视觉模型的方法与系统指导医学图像质量评估

    公开(公告)号：US08086007B2

    公开(公告)日：2011-12-27

    申请号：US12286970

    申请日：2008-10-03

    申请人： Michelle Xiao-Hong Yan ,  Ti-chiun Chang ,  Markus Lendl ,  Stefan Boehm ,  Tong Fang ,  Peter Durlak

    发明人： Michelle Xiao-Hong Yan ,  Ti-chiun Chang ,  Markus Lendl ,  Stefan Boehm ,  Tong Fang ,  Peter Durlak

    IPC分类号： G06K9/00

    CPC分类号： G06K9/4619 ,  G06K2209/05 ,  G06T7/0012

    摘要： A method and system for image quality assessment is disclosed. The image quality assessment method is a no-reference method for objectively assessing the quality of medical images. This method is guided by the human vision model in order to accurately reflect human perception. A region of interest (ROI) of medical image is divided into non-overlapping blocks of equal size. Each of the blocks is categorized as a smooth block, a texture block, or an edge block. A perceptual sharpness measure, which is weighted by local contrast, is calculated for each of the edge blocks. A perceptual noise level measure, which is weighted by background luminance, is calculated for each of the smooth blocks. A sharpness quality index is determined based on the perceptual sharpness measures of all of the edge blocks, and a noise level quality index is determined based on the perceptual noise level measures of all of the smooth blocks. An overall image quality index can be determined by using task specific machine learning of samples of annotated images. The image quality assessment method can be used in applications, such as video/image compression and storage in healthcare and homeland security, and band-width limited wireless communication.

    摘要翻译： 公开了一种用于图像质量评估的方法和系统。 图像质量评估方法是客观评估医学图像质量的非参考方法。 这种方法是以人类视觉模型为指导，以准确反映人类的感知。 医学图像的感兴趣区域（ROI）被划分成相等大小的不重叠块。 每个块被分类为平滑块，纹理块或边缘块。 针对每个边缘块计算出由局部对比度加权的感知锐度度量。 为每个平滑块计算感知噪声水平测量，其由背景亮度加权。 基于所有边缘块的感知锐度测量来确定锐度质量指标，并且基于所有平滑块的感知噪声水平测量来确定噪声水平质量指数。 可以通过使用注释图像的样本的任务特定机器学习来确定整体图像质量指数。 图像质量评估方法可用于医疗保健和国土安全中的视频/图像压缩和存储等应用，以及带宽有限的无线通信。

    System and Method For Feature Detection In Image Sequences
    8.
    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。

    Methods for deblending of seismic shot gathers
    9.
    发明授权
    Methods for deblending of seismic shot gathers 有权

    公开(公告)号：US09602781B2

    公开(公告)日：2017-03-21

    申请号：US14112502

    申请日：2012-03-21

    申请人： Heiko Claussen ,  Ti-chiun Chang ,  Justinian Rosca

    发明人： Heiko Claussen ,  Ti-chiun Chang ,  Justinian Rosca

    IPC分类号： H04N9/47 ,  H04N7/18 ,  G01V1/00 ,  G01V1/36

    CPC分类号： H04N7/18 ,  G01V1/003 ,  G01V1/36

    摘要： A system and methods to deblend seismic data from a plurality of sources and received by a plurality of sensors as shot gathers are disclosed. The deblending is performed by a Mutual Interdependence Analysis Method to separate contributions of different shots. Deblending is also performed by applying a measure of coherence in parallel data domains such as Common Shot Gather and Common Midpoint. Deblending is also achieved by using the hyperbolic nature of seismic data in the common midpoint domain. Deblended signals are estimated and are applied to create a seismic image. Also, Bergman iteration based migration is applied directly on the blended seismic shot gathers without first deblending as an alternative method. The methods are applied in seismic imaging for exploration of natural resources.