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1. 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。

2. 发明授权

US08494243B2 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：US08494243B2
公开(公告)日：2013-07-23
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： G06K9/00
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。

3. 发明授权

US09412044B2 Method of compensation of respiratory motion in cardiac imaging 有权
标题翻译：心脏成像中呼吸运动补偿方法
公开(公告)号：US09412044B2
公开(公告)日：2016-08-09
申请号：US12767908
申请日：2010-04-27
申请人： Matthias Schneider , Hari Sundar , Rui Liao , Chenyang Xu
发明人： Matthias Schneider , Hari Sundar , Rui Liao , Chenyang Xu
IPC分类号： G06K9/00 , G06K9/62 , G06T7/00 , G06T7/20
CPC分类号： G06K9/6247 , G06K2209/05 , G06T7/277 , G06T7/35 , G06T2207/10081 , G06T2207/10121 , G06T2207/20081 , G06T2207/30048
摘要： A method (10) for respiratory motion compensation by applying principle component analysis (PCA) on cardiac imaging samples obtained using 2D/3D registration of a pre-operative 3D segmentation of the coronary arteries.
摘要翻译：一种用于呼吸运动补偿的方法（10），其通过对冠状动脉的术前3D分割的2D / 3D登记获得的心脏成像样本应用主成分分析（PCA）。

4. 发明申请

US20100310140A1 METHOD OF COMPENSATION OF RESPIRATORY MOTION IN CARDIAC IMAGING 有权
标题翻译：心脏成像中呼吸运动的补偿方法
公开(公告)号：US20100310140A1
公开(公告)日：2010-12-09
申请号：US12767908
申请日：2010-04-27
申请人： Matthias Schneider , Hari Sundar , Rui Liao , Chenyang Xu
发明人： Matthias Schneider , Hari Sundar , Rui Liao , Chenyang Xu
IPC分类号： G06K9/00 , G06T15/00
CPC分类号： G06K9/6247 , G06K2209/05 , G06T7/277 , G06T7/35 , G06T2207/10081 , G06T2207/10121 , G06T2207/20081 , G06T2207/30048
摘要： A method (10) for respiratory motion compensation by applying principle component analysis (PCA) on cardiac imaging samples obtained using 2D/3D registration of a pre-operative 3D segmentation of the coronary arteries.
摘要翻译：一种用于呼吸运动补偿的方法（10），其通过对冠状动脉的术前3D分割的2D / 3D登记获得的心脏成像样本应用主成分分析（PCA）。

5. 发明申请

US20100061611A1 CO-REGISTRATION OF CORONARY ARTERY COMPUTED TOMOGRAPHY AND FLUOROSCOPIC SEQUENCE 审中-公开
标题翻译：冠状动脉计算机断层扫描和荧光序列的共同注册
公开(公告)号：US20100061611A1
公开(公告)日：2010-03-11
申请号：US12545922
申请日：2009-08-24
申请人： Chenyang Xu , Hari Sundar , Luc Duong , Rui Liao , Andreas Meyer , Ulrich Bill
发明人： Chenyang Xu , Hari Sundar , Luc Duong , Rui Liao , Andreas Meyer , Ulrich Bill
IPC分类号： G06K9/00 , G06T15/00 , G01N23/00
CPC分类号： G06T19/00 , G06T7/136 , G06T7/187 , G06T7/337 , G06T7/38 , G06T2207/20101 , G06T2207/30101
摘要： A method for displaying real-time imagery of coronary arteries including a chronic total occlusion (CTO) includes acquiring three-dimensional image data of coronary arteries using a three-dimensional medical imaging device, wherein the three-dimensional image data includes imagery of the CTO. A radiocontrast agent is administered to a patient. Real-time image data of the coronary arteries are acquired using one or more fluoroscopes. The real-time image data does not include imagery of the CTO and down-stream vessel structure. The three-dimensional image data is co-registered with the real-time image data using an image processing device within a vicinity of the CTO. The co-registered image data are displayed in real-time using a display device to accurately illustrate the location of the CTO within the context of the real-time image data.
摘要翻译：用于显示包括慢性完全闭塞（CTO）在内的冠状动脉的实时图像的方法包括采用三维医学成像装置获取冠状动脉的三维图像数据，其中三维图像数据包括CTO的图像。向患者施用放射性对比剂。使用一个或多个荧光检查器获取冠状动脉的实时图像数据。实时图像数据不包括CTO和下游血管结构的图像。使用CTO附近的图像处理装置将三维图像数据与实时图像数据共同对准。使用显示装置实时显示共同登记的图像数据，以准确地示出CTO在实时图像数据的上下文中的位置。

6. 发明申请

US20110164035A1 METHOD OF MOTION COMPENSATION FOR TRANS-CATHETER AORTIC VALVE IMPLANTATION 有权
标题翻译：用于变送器气动阀门植入的运动补偿方法
公开(公告)号：US20110164035A1
公开(公告)日：2011-07-07
申请号：US12984954
申请日：2011-01-05
申请人： Rui Liao , Ali Kamen , Matthias John , Alois Nöttling , Jan Boese , Maria Lydia Sarmiento
发明人： Rui Liao , Ali Kamen , Matthias John , Alois Nöttling , Jan Boese , Maria Lydia Sarmiento
IPC分类号： G06T15/00
CPC分类号： G06T7/0024 , A61B6/12 , A61B6/4266 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/5264 , A61B6/541 , G06T7/246 , G06T7/30 , G06T7/33 , G06T2207/10072 , G06T2207/10121 , G06T2207/10124 , G06T2207/30048 , G06T2207/30101
摘要： A method (10) to compensate for cardiac and respiratory motion in cardiac imaging during minimal invasive (e.g., trans-catheter) AVI procedures by image-based tracking (20, 25) on fluoroscopic images.
摘要翻译：一种用于通过基于图像的跟踪（20,25）在荧光镜图像上的最小侵入性（例如，跨导管）AVI过程中补偿心脏成像中的心脏和呼吸运动的方法（10）。

7. 发明授权

US09189851B2 Method of motion compensation for trans-catheter aortic valve implantation 有权
标题翻译：用于跨导管主动脉瓣植入的运动补偿方法
公开(公告)号：US09189851B2
公开(公告)日：2015-11-17
申请号：US12984954
申请日：2011-01-05
申请人： Rui Liao , Ali Kamen , Matthias John , Alois Nöttling , Jan Boese , Marily Sarmiento
发明人： Rui Liao , Ali Kamen , Matthias John , Alois Nöttling , Jan Boese , Marily Sarmiento
IPC分类号： G06T15/00 , G06T7/00 , G06T7/20
CPC分类号： G06T7/0024 , A61B6/12 , A61B6/4266 , A61B6/481 , A61B6/487 , A61B6/503 , A61B6/5264 , A61B6/541 , G06T7/246 , G06T7/30 , G06T7/33 , G06T2207/10072 , G06T2207/10121 , G06T2207/10124 , G06T2207/30048 , G06T2207/30101
摘要： A method (10) to compensate for cardiac and respiratory motion in cardiac imaging during minimal invasive (e.g., trans-catheter) AVI procedures by image-based tracking (20, 25) on fluoroscopic images.
摘要翻译：一种用于通过基于图像的跟踪（20,25）在荧光镜图像上的最小侵入性（例如，跨导管）AVI过程中补偿心脏成像中的心脏和呼吸运动的方法（10）。

8. 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.

9. 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。

10. 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。

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