专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

31. 发明申请

US20090116737A1 Machine Learning For Tissue Labeling Segmentation 有权
标题翻译：机器学习用于组织标签分割
公开(公告)号：US20090116737A1
公开(公告)日：2009-05-07
申请号：US12261383
申请日：2008-10-30
申请人： Atilla Peter Kiraly , Christopher V. Alvino , Hong Shen
发明人： Atilla Peter Kiraly , Christopher V. Alvino , Hong Shen
IPC分类号： G06K9/62
CPC分类号： G06K9/6269 , G06K9/0014 , G06T7/11 , G06T7/143 , G06T2207/30024 , G06T2207/30096
摘要： A method for directed machine learning includes receiving features including intensity data and location data of an image, condensing the intensity data and the location data into a feature vector, processing the feature vector by a plurality of classifiers, each classifier trained for a respective trained class among a plurality of classes, outputting, from each classifier, a probability of the feature vector belong to the respective trained class, and assigning the feature vector a label according to the probabilities of the classifiers, wherein the assignment produces a segmentation of the image.
摘要翻译：用于定向机器学习的方法包括接收包括强度数据和图像的位置数据的特征，将强度数据和位置数据聚合成特征向量，通过多个分类器处理特征向量，每个分类器针对相应的训练类进行训练在多个类中，从每个分类器输出特征向量属于相应训练类的概率，并根据分类器的概率向特征向量分配标签，其中分配产生图像的分割。

32. 发明授权

US08411919B2 Fluid dynamics approach to image segmentation 有权
标题翻译：流体动力学方法进行图像分割
公开(公告)号：US08411919B2
公开(公告)日：2013-04-02
申请号：US12496959
申请日：2009-07-02
申请人： Atilla Peter Kiraly , Leo Grady , Christopher V. Alvino
发明人： Atilla Peter Kiraly , Leo Grady , Christopher V. Alvino
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/342 , G06K2009/366 , G06T7/11 , G06T7/149 , G06T2207/10072 , G06T2207/10132 , G06T2207/20101 , G06T2207/30004
摘要： A method for segmenting image data within a data processing system includes acquiring an image. One or more seed points are established within the image. An advection vector field is computed based on image influences and user input. A dye concentration is determined at each of a plurality of portions of the image that results from a diffusion of dye within the computed advection field. The image is segmented into one or more regions based on the determined dye concentration for the corresponding dye.
摘要翻译：一种用于在数据处理系统内分割图像数据的方法包括获取图像。在图像内建立一个或多个种子点。基于图像影响和用户输入计算平流矢量场。在由计算的对流场内的染料扩散产生的图像的多个部分中的每一个处确定染料浓度。基于所确定的相应染料的染料浓度，将图像分割成一个或多个区域。

33. 发明申请

US20130070995A1 2D/3D IMAGE REGISTRATION METHOD 有权
标题翻译： 2D / 3D图像注册方法
公开(公告)号：US20130070995A1
公开(公告)日：2013-03-21
申请号：US13597963
申请日：2012-08-29
申请人： Chen-Rui Chou , Atilla Peter Kiraly , Christophe Chefd'hotel , David Thivierge-gaulin
发明人： Chen-Rui Chou , Atilla Peter Kiraly , Christophe Chefd'hotel , David Thivierge-gaulin
IPC分类号： G06K9/32
CPC分类号： G06T7/344 , G06K2209/057 , G06T2200/04 , G06T2207/10081 , G06T2207/10088 , G06T2207/10121 , G06T2207/10124 , G06T2207/30048
摘要： A method (100) that registers a 3D heart volume (112, 114) obtained from either a pre-operative MR image or CT image (102) to an intra-operative fluoroscopic image using a mesh of the heart structure (106) as the basis for the registration.
摘要翻译：一种方法（100），其使用心脏结构（106）的网格将从手术前MR图像或CT图像（102）获得的3D心脏体积（112,114）登记到手术中透视图像，作为注册基础。

34. 发明申请

US20110313278A1 METHOD OF MAGNETIC RESONANCE-BASED TEMPERATURE MAPPING 有权
标题翻译：基于磁共振的温度映射方法
公开(公告)号：US20110313278A1
公开(公告)日：2011-12-22
申请号：US13151523
申请日：2011-06-02
申请人： Atilla Peter Kiraly
发明人： Atilla Peter Kiraly
IPC分类号： A61B5/055
CPC分类号： G01R33/4804 , A61B5/015 , A61B5/055 , G01R33/56358
摘要： An MRI method (10) to map the temperature of a bodily tissue using measurements of the tissue density.
摘要翻译：使用测量组织密度来映射身体组织的温度的MRI方法（10）。

35. 发明授权

US08989463B2 Localization and tracking of cryo-balloon during interventional fluoroscopy imaging 有权
标题翻译：介入性透视成像期间冷冻球囊的定位和跟踪
公开(公告)号：US08989463B2
公开(公告)日：2015-03-24
申请号：US13551902
申请日：2012-07-18
申请人： Julien Christian Barbot , Atilla Peter Kiraly , Norbert Strobel
发明人： Julien Christian Barbot , Atilla Peter Kiraly , Norbert Strobel
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0085 , G06T7/0012 , G06T7/13 , G06T7/181 , G06T7/75 , G06T2207/10121 , G06T2207/30021
摘要： A method for the detection of a balloon catheter within a fluoroscopic image, including: removing noise from a fluoroscopic image; detecting edges of a balloon catheter in the fluoroscopic image, wherein the detected edges include subsets of connected edges; extracting an edge subset from the subsets of connected edges; fitting a model to the extracted edge subset; removing outliers of the extracted edge subset based on the fitting of the model; adding the extracted edge subset without the outlier to a data set; repeating the extracting, fitting, removing and adding steps for the remainder of the subsets of connected edges; and fitting the model to the data set, wherein the data set is indicative of the balloon catheter.
摘要翻译：一种用于检测透视图像内的气囊导管的方法，包括：从透视图像中去除噪声; 在透视图像中检测气囊导管的边缘，其中检测到的边缘包括连接边缘的子集; 从连接边缘的子集中提取边缘子集; 将模型拟合到提取的边缘子集; 基于模型的拟合来去除提取的边缘子集的异常值; 将所提取的边缘子集不带异常值添加到数据集; 重复连续边缘子集的其余部分的提取，拟合，移除和添加步骤; 以及将所述模型拟合到所述数据集，其中所述数据集指示所述球囊导管。

36. 发明授权

US08831309B2 Filter approach to catheter electrode detection and tracking 有权
标题翻译：导管电极检测和跟踪的过滤方法
公开(公告)号：US08831309B2
公开(公告)日：2014-09-09
申请号：US13552004
申请日：2012-07-18
申请人： Julien Christian Barbot , Atilla Peter Kiraly
发明人： Julien Christian Barbot , Atilla Peter Kiraly
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/4609
摘要： A method including receiving a first two-dimensional (2D) image; and applying a filter to the 2D image to produce a filtered image that identifies a circular object of interest, wherein the filter is based on the integral sum of the function S, where the filter output at point x is M ⁡ ( x ) = ∫ ∀ y ∈ V ′ ⁢ S ⁡ ( m , θ , r , y ) ⁢ Δ ⁢ ⁢ y which is obtained from the 2D image, the function S is represented by S(m,θ,r,y)=S1(m)S2(θ,r), where m is a magnitude of a gradient at location y, r is a radial distance from y to x, and θ is an angle between the gradient at location y and the radial distance from y to x, S 1 ⁡ ( m ) = ( tan - 1 ⁡ ( m - C 1 ) + π 2 ) π , ⁢ s 2 ⁡ ( θ , r ) = 1 σ ⁢ 2 ⁢ ⁢ π ⁢ ⅇ - ( r × sin ⁢ ⁢ θ ) 2 2 ⁢ ⁢ σ 2 × ∫ - r × sin ⁡ ( 90 - θ ) C 2 - r × sin ⁡ ( 90 - θ ) ⁢ 1 σ ⁢ 2 ⁢ ⁢ π ⁢ ⅇ - x 2 2 ⁢ ⁢ σ 2 ⁢ ⁢ ⅆ x , C1 depends on a gray-level value of the object, C2 and σ depend on a size of the object.
摘要翻译：一种方法，包括接收第一二维（2D）图像; 以及向所述2D图像应用滤波器以产生识别感兴趣的圆形物体的滤波图像，其中所述滤波器基于所述函数S的积分和，其中在点x处的滤波器输出为M⁡（x）=∫ ∀y∈V'S⁡（m，＆thetas;，r，y）＆Dgr; （y，y）= S1（m）S2（＆Thetas;，r）表示函数S，其中m是从2D图像获得的函数S，其中m是位置y，r是从y到x的径向距离，＆amp; thetas; 是位置y处的梯度与从y到x的径向距离之间的角度，S 1⁡（m）=（tan-1⁡（m-C 1）+＆pgr; 2）＆pgr; ，s 2⁡（＆Thetas;，r）= 1＆sgr; 2 ug＆pgr; （r×sin（t））2 2＆sgr; 2×∫-r×sin⁡（90-＆amp; thetas）C 2 -r×sin⁡（90-＆amp; tt;）1＆sgr; 2 ug＆pgr; ⅇ - x 2 2⁢＆ 2⁢ⅆx，C1取决于对象的灰度值，C2和＆sgr; 取决于对象的大小。

37. 发明申请

US20130282005A1 CATHETER NAVIGATION SYSTEM 审中-公开
标题翻译：导管导航系统
公开(公告)号：US20130282005A1
公开(公告)日：2013-10-24
申请号：US13859115
申请日：2013-04-09
申请人： Martin Koch , Atilla Peter Kiraly , Norbert Strobel , Alexander Benjamin Brost
发明人： Martin Koch , Atilla Peter Kiraly , Norbert Strobel , Alexander Benjamin Brost
IPC分类号： A61B18/14
CPC分类号： A61B18/1492 , A61B90/36 , A61B2018/00375 , A61B2018/00577 , A61B2090/065 , A61B2090/364
摘要： An integrated catheter navigation system (100) and method (200) that combines anatomical imaging (302, 304) with catheter tip-to force information (306, 308) during an ablation procedure.
摘要翻译：一种在解剖过程中将解剖学成像（302,304）与导管尖端组合以强制信息（306,308）的集成导管导航系统（100）和方法（200）。

38. 发明授权

US08423124B2 Method and system for spine visualization in 3D medical images 有权
标题翻译： 3D医学图像中脊柱可视化的方法和系统
公开(公告)号：US08423124B2
公开(公告)日：2013-04-16
申请号：US12150663
申请日：2008-04-30
申请人： Atilla Peter Kiraly , Christopher V. Alvino , Hong Shen
发明人： Atilla Peter Kiraly , Christopher V. Alvino , Hong Shen
IPC分类号： A61B5/05
CPC分类号： A61B5/103 , A61B5/055 , A61B5/407 , A61B5/4561 , A61B8/00 , G06K2209/055 , G06T7/13 , G06T7/155 , G06T7/60 , G06T15/08 , G06T2207/20044 , G06T2207/30012 , G06T2207/30172 , G06T2215/06
摘要： A method and system for visualizing the spine in 3D medical images is disclosed. A spinal cord centerline is automatically determined in a 3D medical image volume, such as a CT volume. A reformatted image volume is then generated based on the spinal cord centerline. The reformatted image volume can be a straightened spine volume or a Multi-planar Reconstruction (MPR) based volume that follows the natural curve of the spine. The reconstructed volume can be displayed as 2D slices or 3D volume renderings.
摘要翻译：公开了用于在3D医学图像中可视化脊柱的方法和系统。在3D医学图像体积（例如CT体积）中自动确定脊髓中心线。然后基于脊髓中心线产生重新格式化的图像体积。重新格式化的图像体积可以是矫正的脊柱体积或基于脊柱的自然曲线的基于多平面重建（MPR）的体积。重建体积可以显示为2D切片或3D体积渲染。

39. 发明申请

US20130083980A1 LOCALIZATION AND TRACKING OF CRYO-BALLOON DURING INTERVENTIONAL FLUOROSCOPY IMAGING 有权
标题翻译：常规荧光成像过程中CRYO-BALLOON的定位和跟踪
公开(公告)号：US20130083980A1
公开(公告)日：2013-04-04
申请号：US13551902
申请日：2012-07-18
申请人： Julien Christian Barbot , Atilla Peter Kiraly , Norbert Strobel
发明人： Julien Christian Barbot , Atilla Peter Kiraly , Norbert Strobel
IPC分类号： G06T7/00
CPC分类号： G06T7/0085 , G06T7/0012 , G06T7/13 , G06T7/181 , G06T7/75 , G06T2207/10121 , G06T2207/30021
摘要： A method for the detection of a balloon catheter within a fluoroscopic image, including: removing noise from a fluoroscopic image; detecting edges of a balloon catheter in the fluoroscopic image, wherein the detected edges include subsets of connected edges; extracting an edge subset from the subsets of connected edges; fitting a model to the extracted edge subset; removing outliers of the extracted edge subset based on the fitting of the model; adding the extracted edge subset without the outlier to a data set; repeating the extracting, fitting, removing and adding steps for the remainder of the subsets of connected edges; and fitting the model to the data set, wherein the data set is indicative of the balloon catheter.
摘要翻译：一种用于检测透视图像内的气囊导管的方法，包括：从透视图像中去除噪声; 在透视图像中检测气囊导管的边缘，其中检测到的边缘包括连接边缘的子集; 从连接边缘的子集中提取边缘子集; 将模型拟合到提取的边缘子集; 基于模型的拟合来去除提取的边缘子集的离群值; 将所提取的边缘子集不带异常值添加到数据集; 重复连续边缘子集的其余部分的提取，拟合，移除和添加步骤; 以及将所述模型拟合到所述数据集，其中所述数据集指示所述气囊导管。

40. 发明申请

US20130034289A1 FILTER APPROACH TO CATHETER ELECTRODE DETECTION AND TRACKING 有权
标题翻译：过滤器电极检测和跟踪的过滤方法
公开(公告)号：US20130034289A1
公开(公告)日：2013-02-07
申请号：US13552004
申请日：2012-07-18
申请人： Julien Christian Barbot , Atilla Peter Kiraly
发明人： Julien Christian Barbot , Atilla Peter Kiraly
IPC分类号： G06K9/40 , G06K9/00
CPC分类号： G06K9/4609
摘要： A method including receiving a first two-dimensional (2D) image; and applying a filter to the 2D image to produce a filtered image that identifies a circular object of interest, wherein the filter is based on the integral sum of the function S, where the filter output at point x is M  ( x ) = ∫ ∀ y ∈ V ′  S  ( m , θ , r , y )  Δ   y which is obtained from the 2D image, the function S is represented by S(m,θ,r,y)=S1(m)S2(θ,r), where m is a magnitude of a gradient at location y, r is a radial distance from y to x, and θ is an angle between the gradient at location y and the radial distance from y to x, S 1  ( m ) = ( tan - 1  ( m - C 1 ) + π 2 ) π ,  s 2  ( θ , r ) = 1 σ  2   π   - ( r × sin   θ ) 2 2   σ 2 × ∫ - r × sin  ( 90 - θ ) C 2 - r × sin  ( 90 - θ )  1 σ  2   π   - x 2 2   σ 2    x , C1 depends on a gray-level value of the object, C2 and σ depend on a size of the object.
摘要翻译：一种方法，包括接收第一二维（2D）图像; 以及向2D图像应用滤波器以产生识别感兴趣的圆形物体的滤波图像，其中所述滤波器基于所述函数S的积分和，其中在点x处的滤波器输出为M（x）=∫ ∀y∈V'S S（m，＆thetas;，r，y）＆Dgr; 由（2）式得出，函数S由S（m，＆Thetas;，r，y）= S1（m）S2（＆eta; r）表示，其中m是位置y，r是从y到x的径向距离，＆amp; thetas; 是位置y处的梯度与从y到x的径向距离之间的角度，S 1（m）=（tan-1（m-C 1）+＆pgr; 2）＆pgr; ，s 2（＆thetas;，r）= 1＆sgr; ;ㄧ; ;;;;;;;;;;;;;;;;;; 2×∫-r×sin（90-＆amp; thetas;）C 2 -r×sin（90-＆Thetas;）1＆sgr; ;ㄧ; x;;;;; 2，取决于对象的灰度值，C2和＆sgr; 取决于对象的大小。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式