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11. 发明申请

US20100272315A1 Automatic Measurement of Morphometric and Motion Parameters of the Coronary Tree From A Rotational X-Ray Sequence 有权
标题翻译：从旋转X射线序列自动测量冠状动脉的形态和运动参数
公开(公告)号：US20100272315A1
公开(公告)日：2010-10-28
申请号：US12764225
申请日：2010-04-21
申请人： Yanghai Tsin , Klaus J. Kirchberg , Günter Lauritsch , Chenyang Xu , Jan Boese , Rui Liao
发明人： Yanghai Tsin , Klaus J. Kirchberg , Günter Lauritsch , Chenyang Xu , Jan Boese , Rui Liao
IPC分类号： G06K9/00
CPC分类号： G06T7/251 , G06T7/60 , G06T7/62 , G06T2207/10116 , G06T2207/30101 , G06T2207/30172
摘要： Automatic measurement of morphometric and motion parameters of a coronary target includes extracting reference frames from input data of a coronary target at different phases of a cardiac cycle, extracting a three-dimensional centerline model for each phase of the cardiac cycle based on the references frames and projection matrices of the coronary target, tracking a motion of the coronary target through the phases based on the three-dimensional centerline models, and determining a measurement of morphologic and motion parameters of the coronary target based on the motion.
摘要翻译：自动测量冠状动脉靶标的形态测量和运动参数包括：在心脏周期的不同阶段从冠状动脉靶的输入数据提取参考帧，基于参考帧提取心动周期的每个相位的三维中心线模型，以及冠状动脉靶的投影矩阵，基于三维中心线模型跟踪通过相位的冠状动脉靶的运动，以及基于运动确定冠状动脉靶标的形态和运动参数的测量。

12. 发明授权

US08655041B2 Automatic detection of contrast injection 有权
标题翻译：自动检测造影剂注射
公开(公告)号：US08655041B2
公开(公告)日：2014-02-18
申请号：US13211716
申请日：2011-08-17
申请人： Matthias John , Rui Liao , Michelle xiaohong Yan , Wei You
发明人： Matthias John , Rui Liao , Michelle xiaohong Yan , Wei You
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , A61B6/481 , A61B6/487 , A61B6/504 , G06T2207/10121 , G06T2207/30048 , G06T2207/30101
摘要： A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.
摘要翻译：用于自动检测x射线图像中的对比度的存在的方法包括在施加对比度之前获取X射线图像。基于x射线图像估计背景图像。对比度被管理。获取一组X射线图像。从图像集中减去背景图像。确定每个减影图像的图像强度。选择具有最高图像强度的减影图像。预定义的形状模型适合于所选择的减影图像。使用预定义形状模型的拟合来将形状模型拟合到每个相减图像。基于适合于相应减法图像的形状模型的每个像素的像素强度，针对每个图像帧计算特征值。通过选择具有最大特征值的图像帧来确定峰值对比度的图像帧。

13. 发明申请

US20130057569A1 2D-2D FUSION FOR INTERVENTIONAL GUIDANCE IN TRANS-CATHETER AORTIC VALVE IMPLANTATION 有权
标题翻译：用于传导导管动态阀植入的传统指导的2D-2D融合
公开(公告)号：US20130057569A1
公开(公告)日：2013-03-07
申请号：US13534675
申请日：2012-06-27
申请人： Rui Liao , Yinxiao Liu , Matthias John
发明人： Rui Liao , Yinxiao Liu , Matthias John
IPC分类号： G06K9/36 , G09G5/02
CPC分类号： A61B6/00 , A61B6/12 , A61B6/463 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/504 , A61B6/5235 , G06K9/34 , G06K9/6215 , G06K9/6289 , G06T3/0068 , G06T5/50 , G06T2207/10121 , G06T2207/20076 , G06T2207/30048 , G06T2207/30104
摘要： A method for fusing 2D fluoroscopic images with 2D angiographic images for real-time interventional procedure guidance includes using a 2-dimensional angiographic image to detect injection of a contrast agent into an anatomical structure, where the contrast agent first appears in a detected image frame, subtracting a background image from the detected image frame and binarizing the subtracted image frame to segment the anatomical structure from the subtracted image frame, registering the segmented anatomical structure with a predefined shape model of the anatomical structure to generate an anatomical mask, generating an anatomical probability map from the anatomical mask using intensity information from the subtracted image frame, where the anatomical probability map expresses a probability of a pixel in the subtracted image frame belonging to the anatomical structure, and fusing the angiographic image with one or more subsequently acquired 2-dimensional fluoroscopic images of the anatomical structure using the anatomical probability map.
摘要翻译：用于将2D荧光图像与2D血管造影图像融合以用于实时介入手术指导的方法包括使用二维血管造影图像来检测造影剂的注射到解剖结构中，其中造影剂首先出现在检测到的图像帧中，从检测到的图像帧中减去背景图像并对相减的图像帧进行二值化以从减除的图像帧分割解剖结构，使用解剖结构的预定义形状模型登记分割的解剖结构以生成解剖学掩模，产生解剖概率使用来自所述相减图像帧的强度信息从所述解剖掩模映射，其中所述解剖概率图表示属于所述解剖结构的所述减去的图像帧中的像素的概率，并且将所述血管造影图像与一个或多个随后获取的二维透视图像的肛门 omical结构使用解剖概率图。

14. 发明申请

US20120128226A1 AUTOMATIC DETECTION OF CONTRAST INJECTION 有权
标题翻译：自动检测对比度注射
公开(公告)号：US20120128226A1
公开(公告)日：2012-05-24
申请号：US13211716
申请日：2011-08-17
申请人： Matthias John , Rui Liao , Michelle xiaohong Yan , Wei You
发明人： Matthias John , Rui Liao , Michelle xiaohong Yan , Wei You
IPC分类号： G06K9/00
CPC分类号： G06T7/0014 , A61B6/481 , A61B6/487 , A61B6/504 , G06T2207/10121 , G06T2207/30048 , G06T2207/30101
摘要： A method for automatically detecting the presence of contrast in an x-ray image includes acquiring an x-ray image prior to administration of contrast. A background image is estimated based on the x-ray image. The contrast is administered. A set of x-ray images is acquired. The background image is subtracted from the set of images. Image intensity is determined for each of the subtracted images. The subtracted images having highest image intensity are selected. A predefined shape model is fitted to the selected subtracted images. The fitting of the predefined shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.
摘要翻译：用于自动检测x射线图像中的对比度的存在的方法包括在施加对比度之前获取X射线图像。基于x射线图像估计背景图像。对比度被管理。获取一组X射线图像。从图像集中减去背景图像。确定每个减影图像的图像强度。选择具有最高图像强度的减影图像。预定义的形状模型适合于所选择的减影图像。使用预定义形状模型的拟合来将形状模型拟合到每个相减图像。基于适合于相应减法图像的形状模型的每个像素的像素强度，针对每个图像帧计算特征值。通过选择具有最大特征值的图像帧来确定峰值对比度的图像帧。

15. 发明授权

US09058664B2 2D-2D fusion for interventional guidance in trans-catheter aortic valve implantation 有权
标题翻译： 2D-2D融合用于跨导管主动脉瓣植入术的介入引导
公开(公告)号：US09058664B2
公开(公告)日：2015-06-16
申请号：US13534675
申请日：2012-06-27
申请人： Rui Liao , Yinxiao Liu , Matthias John
发明人： Rui Liao , Yinxiao Liu , Matthias John
IPC分类号： G09G5/02 , G06T3/00 , G06K9/34 , G06K9/62 , A61B6/12 , A61B6/00 , G06T5/50
CPC分类号： A61B6/00 , A61B6/12 , A61B6/463 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/504 , A61B6/5235 , G06K9/34 , G06K9/6215 , G06K9/6289 , G06T3/0068 , G06T5/50 , G06T2207/10121 , G06T2207/20076 , G06T2207/30048 , G06T2207/30104
摘要： A method for fusing 2D fluoroscopic images with 2D angiographic images for real-time interventional procedure guidance includes using a 2-dimensional angiographic image to detect injection of a contrast agent into an anatomical structure, where the contrast agent first appears in a detected image frame, subtracting a background image from the detected image frame and binarizing the subtracted image frame to segment the anatomical structure from the subtracted image frame, registering the segmented anatomical structure with a predefined shape model of the anatomical structure to generate an anatomical mask, generating an anatomical probability map from the anatomical mask using intensity information from the subtracted image frame, where the anatomical probability map expresses a probability of a pixel in the subtracted image frame belonging to the anatomical structure, and fusing the angiographic image with one or more subsequently acquired 2-dimensional fluoroscopic images of the anatomical structure using the anatomical probability map.
摘要翻译：用于将2D荧光图像与2D血管造影图像融合以用于实时介入手术指导的方法包括使用二维血管造影图像来检测造影剂的注射到解剖结构中，其中造影剂首先出现在检测到的图像帧中，从检测到的图像帧中减去背景图像并对相减的图像帧进行二值化以从减除的图像帧分割解剖结构，使用解剖结构的预定义形状模型登记分割的解剖结构以生成解剖学掩模，产生解剖概率使用来自所述相减图像帧的强度信息从所述解剖掩模映射，其中所述解剖概率图表示属于所述解剖结构的所述减去的图像帧中的像素的概率，并且将所述血管造影图像与一个或多个随后获取的二维透视图像的肛门 omical结构使用解剖概率图。

16. 发明申请

US20200051258A1 2D/3D REGISTRATION FOR ABDOMINAL AORTIC ANEURYSM INTERVENTION 审中-公开
公开(公告)号：US20200051258A1
公开(公告)日：2020-02-13
申请号：US13398999
申请日：2012-02-17
申请人： Shun Miao , Rui Liao , Marcus Pfister
发明人： Shun Miao , Rui Liao , Marcus Pfister
IPC分类号： G06T7/38 , A61B6/00 , G06T7/00 , G06K9/00
摘要： A method for performing 2D/3D registration includes acquiring a 3D image. A pre-contrast 2D image is acquired. A sequence of post-contrast 2D images is acquired. A 2D image is acquired from a second view. The first view pre-contrast 2D image is subtracted from each of the first view post-contrast 2D images to produce a set of subtraction images. An MO image is generated from the subtraction images. A 2D/3D registration result is generated by optimizing a measure of similarity between a first synthetic 2D image and the MO image and a measure of similarity between a second synthetic image and the intra-operative 2D image from the second view by iteratively adjusting an approximation of the pose of the patient in the synthetic images and iterating the synthetic images using the adjusted approximation of the pose.

17. 发明授权

US09521985B2 Automatic detection of contrast injection 有权
标题翻译：自动检测造影剂注射
公开(公告)号：US09521985B2
公开(公告)日：2016-12-20
申请号：US13532923
申请日：2012-06-26
申请人： Rui Liao , Yinxiao Liu , Xudong Lv
发明人： Rui Liao , Yinxiao Liu , Xudong Lv
IPC分类号： A61B6/00 , A61B6/12 , G06T7/00 , G06T7/20 , A61B6/03 , A61B8/12
CPC分类号： A61B6/12 , A61B6/032 , A61B6/469 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/5264 , A61B8/12 , G06K2209/057 , G06T7/0016 , G06T7/20 , G06T2207/10016 , G06T2207/10121 , G06T2207/30104
摘要： A method for automatically detecting the presence of a contrast agent in an x-ray image includes acquiring a preliminary x-ray image. A background image is estimated. The contrast agent is administered. A plurality of image frames is acquired. The background image is subtracted from each image frame. An image having a highest image intensity is selected. A predefined shape model is fitted to the selected image using a semi-global optimization strategy. The fitting of the shape model is used to fit the shape model to each of the subtracted images. A feature value is calculated for each image frame based on pixel intensities of each pixel fitted to the shape model for the corresponding subtracted image. An image frame of peak contrast is determined by selecting the image frame with the greatest feature value.
摘要翻译：用于自动检测x射线图像中的造影剂的存在的方法包括获取初步x射线图像。估计背景图像。施用造影剂。获取多个图像帧。从每个图像帧中减去背景图像。选择具有最高图像强度的图像。使用半全局优化策略将预定义的形状模型拟合到所选择的图像。形状模型的拟合用于将形状模型拟合到每个相减的图像。基于适合于相应减法图像的形状模型的每个像素的像素强度，针对每个图像帧计算特征值。通过选择具有最大特征值的图像帧来确定峰值对比度的图像帧。

18. 发明授权

US08675996B2 Catheter RF ablation using segmentation-based 2D-3D registration 有权
标题翻译：使用基于分割的2D-3D注册的导管RF消融
公开(公告)号：US08675996B2
公开(公告)日：2014-03-18
申请号：US12821235
申请日：2010-06-23
申请人： Rui Liao , Norbert Strobel , Chenyang Xu
发明人： Rui Liao , Norbert Strobel , Chenyang Xu
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： A61B6/5235 , A61B6/487 , A61B6/504 , A61B6/5247 , A61B18/1492 , A61B90/37 , A61B2090/364 , A61B2090/376 , A61B2090/3764 , G06T3/0068 , G06T7/33 , G06T2207/10072 , G06T2207/10121 , G06T2207/20041 , G06T2207/30048
摘要： A method for registering a two-dimensional image of a cardiocirculatory structure and a three-dimensional image of the cardiocirculatory structure includes acquiring a three-dimensional image including the cardiocirculatory structure using a first imaging modality. The acquired three-dimensional image is projected into two-dimensions to produce a two-dimensional projection image of the cardiocirculatory structure. A structure of interest is segmented either from the three-dimensional image prior to projection or from the projection image subsequent to projection. A two-dimensional image of the cardiocirculatory structure is acquired using a second imaging modality. The structure of interest is segmented from the acquired two-dimensional image. A first distance map is generated based on the two-dimensional projection image and a second distance map is generated based on the acquired two-dimensional image. A registration of the three-dimensional image and the two-dimensional image is performed by minimizing a difference between the first and second distance maps.
摘要翻译：用于记录心脏循环结构的二维图像和心脏循环结构的三维图像的方法包括使用第一成像模式获取包括心脏循环结构的三维图像。所获取的三维图像被投影成二维以产生心脏循环结构的二维投影图像。感兴趣的结构或者从投影之前的三维图像或投影之后的投影图像分割。使用第二成像模式获取心脏循环结构的二维图像。感兴趣的结构从获得的二维图像中分割出来。基于二维投影图像生成第一距离图，并且基于所获取的二维图像生成第二距离图。通过最小化第一和第二距离图之间的差异来执行三维图像和二维图像的配准。

19. 发明申请

US20110026794A1 Deformable 2D-3D Registration of Structure 有权
标题翻译：可变形2D-3D结构注册
公开(公告)号：US20110026794A1
公开(公告)日：2011-02-03
申请号：US12789521
申请日：2010-05-28
申请人： Hari Sundar , Ali Kamen , Rui Liao , Darko Zikic , Martin Groher , Yunhao Tan
发明人： Hari Sundar , Ali Kamen , Rui Liao , Darko Zikic , Martin Groher , Yunhao Tan
IPC分类号： G06K9/62 , G06T11/20
CPC分类号： G06K9/44 , G06K9/469 , G06K2209/05 , G06T7/12 , G06T7/162 , G06T7/33 , G06T2207/10081 , G06T2207/10121 , G06T2207/30101
摘要： A method for performing deformable non-rigid registration of 2D and 3D images of a vascular structure for assistance in surgical intervention includes acquiring 3D image data. An abdominal aorta is segmented from the 3D image data using graph-cut based segmentation to produce a segmentation mask. Centerlines are generated from the segmentation mask using a sequential topological thinning process. 3D graphs are generated from the centerlines. 2D image data is acquired. The 2D image data is segmented to produce a distance map. An energy function is defined based on the 3D graphs and the distance map. The energy function is minimized to perform non-rigid registration between the 3D image data and the 2D image data. The registration may be optimized.
摘要翻译：用于执行血管结构的2D和3D图像的可变形非刚性配准以辅助外科手术的方法包括获取3D图像数据。使用基于图形的分割从3D图像数据分割腹主动脉以产生分割掩模。使用顺序拓扑稀疏过程从分割掩码生成中心线。从中心线生成3D图形。获取2D图像数据。 2D图像数据被分割以产生距离图。基于3D图和距离图定义能量函数。能量函数被最小化以在3D图像数据和2D图像数据之间执行非刚性配准。可以优化注册。

20. 发明申请

US20070248251A1 SYSTEM AND METHOD FOR LEARNING-BASED 2D/3D RIGID REGISTRATION FOR IMAGE-GUIDED SURGERY 有权
标题翻译：用于图像导向手术的基于学习的2D / 3D刚体注册的系统和方法
公开(公告)号：US20070248251A1
公开(公告)日：2007-10-25
申请号：US11686533
申请日：2007-03-15
申请人： Rui Liao , Christoph Guetter , Chenyang Xu , Yiyong Sun , Ali Khamene , Frank Sauer
发明人： Rui Liao , Christoph Guetter , Chenyang Xu , Yiyong Sun , Ali Khamene , Frank Sauer
IPC分类号： G06K9/00 , G06T11/00
CPC分类号： G06K9/00208 , G06K9/6212 , G06T7/33 , G06T7/35 , G06T2207/30101
摘要： A method of registering 3-dimensional digitized images to 2-dimensional digitized images during a medical procedure includes providing a pair of correctly-registered training images L={lr, lf} and their joint intensity distribution pl(ir, if), wherein ir and if are reference and floating images, respectively, providing a pair of observed images O={or, of} and their joint intensity distribution po(ir, if), mapping a marginal intensity distribution of the observed pair O={or, of} to a marginal intensity distribution of the training pair L={lr, lf}, and estimating a set of parameters T that registers image of to image or by maximizing a weighted sum of a Jensen-Shannon divergence (JSD) of a joint intensity distribution of the observed pair and a joint intensity distribution of the training pair and a similarity measure between the observed images.
摘要翻译：在医疗过程中将三维数字化图像记录到二维数字化图像的方法包括提供一对正确注册的训练图像L =（1/2） >}和它们的联合强度分布p（i），其中i i和i i f分别是提供一对观察图像的参考和浮动图像，它们的联合强度分布映射所观察到的对的边缘强度分布O = {o 以及训练对的边缘强度分布L = {1> 1，...，...），并且估计一组通过最大化所观察到的对的联合强度分布的Jensen-Shannon发散（JSD）的加权和来加权对照图像的参数T，以使图像o 训练对的联合强度分布以及观察到的图像之间的相似性度量。

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