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71. 发明授权

US09401017B2 Systems and methods for semi-automated segmentation of medical images 有权
标题翻译：医学图像半自动分割的系统和方法
公开(公告)号：US09401017B2
公开(公告)日：2016-07-26
申请号：US14269598
申请日：2014-05-05
申请人： Kwang Won Choi , Chihwa Song , Richard Kijowski , Darryl Gerard Thelen
发明人： Kwang Won Choi , Chihwa Song , Richard Kijowski , Darryl Gerard Thelen
IPC分类号： G06K9/00 , G06T7/00 , G06K9/48 , G06K9/46 , G06K9/52
CPC分类号： G06T7/0012 , G06K9/468 , G06K9/48 , G06K9/52 , G06K2009/4666 , G06T7/12 , G06T2207/10088 , G06T2207/20116 , G06T2207/30008
摘要： Systems and methods for segmenting a medical image are provided. In some embodiments, the method includes receiving an image acquired from at least a portion of a subject's anatomy, selecting a first point within a target structure identified on the image, and determining a second and a third point associated with extents of a target biological tissue, the first, second and third points defining a sector described by the first point, a central angle and a subtended arc. The method also includes determining a plurality of arc points along the subtended arc, and extending a plurality of linear segments along directions determined by the first point and the plurality of arc points. The method further includes determining an intensity profile along each linear segment to identify boundaries of the target biological tissue, and generating a contour of the target biological tissue using the identified boundaries.
摘要翻译：提供了用于分割医学图像的系统和方法。在一些实施例中，该方法包括接收从对象的解剖结构的至少一部分获取的图像，选择在图像上标识的目标结构内的第一点，以及确定与目标生物组织的范围相关联的第二和第三点，第一，第二和第三点定义由第一点，中心角和对准的弧描述的扇区。该方法还包括确定沿着对准弧线的多个圆弧点，并且沿着由第一点和多个圆弧点确定的方向延伸多个线性分段。该方法还包括确定沿着每个线性段的强度分布以识别目标生物组织的边界，以及使用所识别的边界产生目标生物组织的轮廓。

72. 发明授权

US09367924B2 Method and system for segmentation of the liver in magnetic resonance images using multi-channel features 有权
标题翻译：使用多通道特征在磁共振图像中肝脏分割的方法和系统
公开(公告)号：US09367924B2
公开(公告)日：2016-06-14
申请号：US14270624
申请日：2014-05-06
申请人： Siemens Aktiengesellschaft
发明人： Artem Gritsenko , Neil Birkbeck , Jingdan Zhang , Shaohua Kevin Zhou
IPC分类号： G06K9/00 , G06T7/00 , G06K9/62
CPC分类号： G06T7/0097 , G06K9/6259 , G06T7/13 , G06T7/149 , G06T7/174 , G06T2200/04 , G06T2207/10088 , G06T2207/20081 , G06T2207/20116 , G06T2207/30056
摘要： A method and system for fully automatic liver segmentation in a multi-channel magnetic resonance (MR) image is disclosed. An initial liver boundary in the multi-channel MR image, such as an MR Dixon scan. The segmented initial liver boundary in the multi-channel MR image is refined based on features extracted from multiple channels of the multi-channel MR image using a trained boundary detector. The features may be extracted from an opposed channel and a water channel of an MR Dixon scan.
摘要翻译：公开了一种在多通道磁共振（MR）图像中全自动肝分割的方法和系统。多通道MR图像中的初始肝脏边界，例如MR Dixon扫描。使用训练有素的边界检测器，基于从多通道MR图像的多个通道提取的特征来改进多通道MR图像中的分段初始肝脏边界。特征可以从MR Dixon扫描的相对的通道和水通道中提取。

73. 发明授权

US09317973B2 Augmented reality method applied to the integration of a pair of spectacles into an image of a face 有权
标题翻译：增强现实法应用于将一副眼镜整合成一张脸的形象
公开(公告)号：US09317973B2
公开(公告)日：2016-04-19
申请号：US14791731
申请日：2015-07-06
申请人： FITTINGBOX
发明人： Ariel Choukroun
IPC分类号： G09G5/00 , G06T19/00 , G06T7/00 , G02B27/01 , G06K9/62 , H04N5/265
CPC分类号： G06T17/205 , G02B27/0172 , G02B2027/0178 , G02C13/003 , G06K9/627 , G06T7/149 , G06T7/70 , G06T15/04 , G06T19/00 , G06T19/006 , G06T2207/20116 , G06T2207/30244 , H04N5/265
摘要： Method for creating a final real-time photorealistic image of a virtual object, corresponding to a real object arranged on an original photo of a user, in a realistic orientation related to the user's position, includes: detecting the presence of an area for the object in the photo; determining the position of characteristic points of the area for the object in the photo; determining the 3D orientation of the face, the angles φ and ψ of the camera having taken the photo relative to the principal plane of the area; selecting the texture to be used for the virtual object, in accordance with the angle-of-view, and generating the view of the virtual object in 3D; creating a first layered rendering in the correct position consistent with the position of the placement area for the object in the original photo; obtaining the photorealistic rendering by adding overlays to obtain the final image.
摘要翻译：用于以与用户位置相关的实际取向创建对应于布置在用户的原始照片上的真实对象的虚拟对象的最终实时照片写实图像的方法包括：检测对象的区域的存在在照片里; 确定照片中对象的区域的特征点的位置; 确定面部的3D取向，角度＆和ψ相机相对于该区域的主平面拍摄照片; 根据视角选择要用于虚拟对象的纹理，并以3D形式生成虚拟对象的视图; 在与原始照片中的对象的放置区域的位置一致的正确位置创建第一分层渲染; 通过添加重叠以获得最终图像来获得逼真的渲染。

74. 发明申请

US20160063726A1 MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE 有权
标题翻译：基于模型的分解结构分解
公开(公告)号：US20160063726A1
公开(公告)日：2016-03-03
申请号：US14832029
申请日：2015-08-21
申请人： KONINKLIJKE PHILIPS N.V.
发明人： Fabian Wenzel , Carsten Meyer , Thomas Heiko Stehle
IPC分类号： G06T7/00
CPC分类号： G06T7/12 , G06F19/321 , G06T7/0012 , G06T7/13 , G06T7/149 , G06T2207/10028 , G06T2207/10072 , G06T2207/20004 , G06T2207/20116 , G06T2207/30016
摘要： A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique. In accordance with the present invention, performing the model based segmentation further comprises determining from patient data (042) medical information which is predictive of an appearance of the anatomical structure in the medical image, and adjusting or setting a segmentation parameter based on the medical information so as to adjust the model-based segmentation to said predicted appearance of the anatomical structure in the medical image, the segmentation parameter being a parameter of i) the deformable model or ii) the adaptation technique. Advantageously, the system and method are enabled to better cope with the inter-patient and inter-disease-stage variability in the appearance of anatomical structures.
摘要翻译：提供了一种用于对患者的医学图像中的解剖结构执行基于模型的分割的系统（100）和方法。医学图像（022）被访问。此外，提供了模型数据（162），其定义了用于分割解剖结构类型的可变形模型。解剖结构的基于模型的分割是通过使用适配技术将可变形模型适应于医学图像中的解剖结构来执行的。根据本发明，执行基于模型的分割还包括从患者数据（042）确定预测医学图像中解剖结构的外观的医学信息，以及基于医学信息调整或设置分割参数以便将基于模型的分割调整为医学图像中解剖结构的所述预测外观，分割参数是i）可变形模型或ii）适应技术的参数。有利地，系统和方法能够更好地应对解剖结构外观中的患者间和疾病间阶段的变异性。

75. 发明授权

US09183637B2 Image processing apparatus, method, and program 有权
标题翻译：图像处理装置，方法和程序
公开(公告)号：US09183637B2
公开(公告)日：2015-11-10
申请号：US14484046
申请日：2014-09-11
申请人： FUJIFILM Corporation
发明人： Yoshiro Kitamura
IPC分类号： G06T7/00 , A61B5/00
CPC分类号： G06T7/0081 , A61B5/489 , A61B2576/00 , G06T7/0012 , G06T7/11 , G06T7/12 , G06T7/149 , G06T7/168 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20016 , G06T2207/20024 , G06T2207/20048 , G06T2207/20056 , G06T2207/20072 , G06T2207/20116 , G06T2207/20152 , G06T2207/30008 , G06T2207/30061 , G06T2207/30088 , G06T2207/30101
摘要： An image processing apparatus, including a filtering unit that performs filtering on an image using a second order partial differential and calculates a Hessian matrix and an evaluation unit that discriminates a structure included in the image using eigenvalues and eigenvectors of the Hessian matrix, in which the filtering unit includes a correction unit that performs filtering on the image using a first order partial differential of a function representing a hollow sphere having the same radius as the radius of the solid sphere and obtains first order partial differential vectors, and carries out correction to cancel out one of response waveforms of the function representing the solid sphere in each direction, the response waveforms appearing at two positions symmetrically separated with respect to the center of the solid sphere, using values obtained by projecting the first order partial differential vectors onto directions of the eigenvectors.
摘要翻译：一种图像处理装置，包括：使用二阶偏差对图像进行滤波并使用Hessian矩阵的特征值和特征向量来计算Hessian矩阵的滤波单元和评估单元，所述滤波单元使用特征值和特征向量来区分包含在图像中的结构，滤波单元包括校正单元，该校正单元使用表示具有与实心球半径相同的半径的中空球的函数的一阶偏微分来对图像进行滤波，并获得一阶偏微分矢量，并执行校正以取消将表示每个方向上的实心球的函数的响应波形中的一个反应波形，使用通过将一阶偏微分矢量投影到方向上获得的值，出现在相对于实心球的中心对称分开的两个位置处的响应波形特征向量

76. 发明申请

US20150213629A1 METHOD OF PROCESSING OPTICAL COHERENCE TOMOGRAPHY IMAGES 有权
标题翻译：光学相干图像图像处理方法
公开(公告)号：US20150213629A1
公开(公告)日：2015-07-30
申请号：US14411268
申请日：2013-06-28
申请人： Consiglio Nazionale delle Ricerche , Fondazione Toscana Gabriele Monasterio per la Ricerca Medica e di Sanità Pubblica
发明人： Simona Celi , Sergio Berti
IPC分类号： G06T11/00 , G06T7/00
CPC分类号： G06T11/005 , A61B5/0066 , A61B5/0084 , A61B5/02007 , F04C2270/041 , G06T7/0002 , G06T7/0012 , G06T7/10 , G06T7/60 , G06T2207/10101 , G06T2207/20116 , G06T2207/30101
摘要： An automatic or semiautomatic method of processing intravascular Optical Coherence Tomography (OCT) images, comprising: pre-processing the primary image by segmenting the guidewire in the lumen to exclude it from the image, determining whether the lumen is open or closed; if the lumen is determined to be closed, performing a first automatic lumen segmentation procedure on the pre-processed image to define a perimeter line of the lumen, corresponding to the inner edge of the vessel wall, and determine a centroid CL of the lumen area; if the lumen is determined not to be closed, sequentially performing an automatic lumen closing procedure on the pre-processed image, and a second automatic lumen segmentation procedure, to define a perimeter line of the lumen, corresponding to the inner edge of the vessel wall, and determine a centroid CL of the lumen area; automatically finding an outer edge of the vessel wall and defining a first region of interest ROI1 between the inner edge and the outer edge of the lumen; automatically segmenting a fibrous plaque in the first region of interest ROI1 thereby defining a second region of interest ROI2 that contains the fibrous plaque, and segmenting a hyporeflective plaque, contained in a radial region that falls within ROI1 and is external to ROI2.
摘要翻译：一种处理血管内光学相干断层摄影（OCT）图像的自动或半自动方法，包括：通过分割管腔中的导丝来将其从图像中排除，以确定管腔是开放还是闭合来预处理主要图像; 如果确定管腔闭合，则在预处理图像上执行第一自动管腔分割程序以限定对应于血管壁的内边缘的内腔的周界线，并且确定管腔面积的质心CL ; 如果确定不关闭内腔，则在预处理图像上依次执行自动管腔闭合程序和第二自动管腔分割程序，以限定对应于血管壁的内边缘的内腔的周边线并确定管腔面积的质心CL; 自动找到血管壁的外边缘并且在内腔的内边缘和外边缘之间限定第一感兴趣区域ROI1; 在感兴趣的第一区域ROI1中自动分割纤维斑块，从而限定包含纤维斑块的第二感兴趣区域ROI2，并且分割包含在落入ROI1内并且在ROI2外部的径向区域中的低反射斑块。

77. 发明授权

US09076209B2 Augmented reality method applied to the integration of a pair of spectacles into an image of a face 有权
标题翻译：增强现实法应用于将一副眼镜整合成一张脸的形象
公开(公告)号：US09076209B2
公开(公告)日：2015-07-07
申请号：US13522599
申请日：2011-01-18
申请人： Ariel Choukroun
发明人： Ariel Choukroun
IPC分类号： G09G5/00 , G06T7/00 , G06T19/00
CPC分类号： G06T17/205 , G02B27/0172 , G02B2027/0178 , G02C13/003 , G06K9/627 , G06T7/149 , G06T7/70 , G06T15/04 , G06T19/00 , G06T19/006 , G06T2207/20116 , G06T2207/30244 , H04N5/265
摘要： Method for creating a final real-time photorealistic image of a virtual object, corresponding to a real object arranged on an original photo of a user, in a realistic orientation related to the user's position, includes: detecting the presence of an area for the object in the photo; determining the position of characteristic points of the area for the object in the photo; determining the 3D orientation of the face, the angles Φ and Ψ of the camera having taken the photo relative to the principal plane of the area; selecting the texture to be used for the virtual object, in accordance with the angle-of-view, and generating the view of the virtual object in 3D; creating a first layered rendering in the correct position consistent with the position of the placement area for the object in the original photo; obtaining the photorealistic rendering by adding overlays to obtain the final image.
摘要翻译：用于以与用户位置相关的实际取向创建对应于布置在用户的原始照片上的真实对象的虚拟对象的最终实时照片写实图像的方法包括：检测对象的区域的存在在照片里; 确定照片中对象的区域的特征点的位置; 确定面部的3D取向，相机相对于该区域的主平面拍摄照相机的角度Φ和Ψ; 根据视角选择要用于虚拟对象的纹理，并以3D形式生成虚拟对象的视图; 在与原始照片中的对象的放置区域的位置一致的正确位置创建第一分层渲染; 通过添加重叠以获得最终图像来获得逼真的渲染。

78. 发明申请

US20150078641A1 Techniques for Segmentation of Lymph Nodes, Lung Lesions and Other Solid or Part-Solid Objects 审中-公开
标题翻译：分割淋巴结，肺损伤和其他固体或部分固体物体的技术
公开(公告)号：US20150078641A1
公开(公告)日：2015-03-19
申请号：US14394098
申请日：2013-04-11
申请人： Yongqiang Tan , Binsheng Zhao , Lawrence H. Schwartz
发明人： Yongqiang Tan , Binsheng Zhao , Lawrence H. Schwartz
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/136 , G06T7/149 , G06T7/155 , G06T15/06 , G06T2207/10072 , G06T2207/10081 , G06T2207/20116 , G06T2207/20152 , G06T2207/20168 , G06T2207/30061 , G06T2207/30064 , G06T2207/30096
摘要： Techniques for segmentation include determining an edge of voxels in a range associated with a target object. A center voxel is determined. Target size is determined based on the center voxel. In some embodiments, edges near the center are suppressed, markers are determined based on the center, and an initial boundary is determined using a watershed transform. Some embodiments include determining multiple rays originating at the center in 3D, and determining adjacent rays for each. In some embodiments, a 2D field of amplitudes is determined on a first dimension for distance along a ray and a second dimension for successive rays in order. An initial boundary is determined based on a path of minimum cost to connect each ray. In some embodiments, active contouring is performed using a novel term to refine the initial boundary. In some embodiments, boundaries of part-solid target objects are refined using Markov models.
摘要翻译：用于分割的技术包括确定与目标对象相关联的范围中的体素的边缘。确定中心体素。目标尺寸是根据中心体素确定的。在一些实施例中，中心附近的边缘被抑制，基于中心确定标记，并且使用分水岭变换来确定初始边界。一些实施例包括确定以3D为中心的多个射线，并确定每个射线的相邻射线。在一些实施例中，在第一维度上确定2D场的幅度，以获得沿着光线的距离，并且依次确定连续光线的第二维度。基于连接每根射线的最小成本的路径来确定初始边界。在一些实施例中，使用新术语来执行主动轮廓以细化初始边界。在一些实施例中，部分实体目标对象的边界使用马尔可夫模型进行细化。

79. 发明授权

US08942423B2 Methods for automatic segmentation and temporal tracking 有权
标题翻译：自动分割和时间跟踪的方法
公开(公告)号：US08942423B2
公开(公告)日：2015-01-27
申请号：US13910620
申请日：2013-06-05
申请人： General Electric Company
发明人： Kedar Anil Patwardhan , Sandeep N. Gupta , David M. Mills , Aaron M. Dentinger , Yongjian Yu
IPC分类号： G06K9/00 , G06T7/00 , G06T7/20 , A61B8/08 , G06K9/62 , G06K9/34
CPC分类号： G06T7/0012 , A61B8/0891 , A61B8/483 , A61B8/523 , G06T7/149 , G06T7/251 , G06T7/277 , G06T2207/10136 , G06T2207/20101 , G06T2207/20116 , G06T2207/30101
摘要： In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing, and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.
摘要翻译：在一个实施例中，提供了一种检测容器的中心线的方法。该方法包括以下步骤：获取3D图像体积，初始化中心线，初始化卡尔曼滤波器，使用卡尔曼滤波器预测下一个中心点，检查使用卡尔曼滤波器进行的预测的有效性，执行模板匹配，基于卡尔曼滤波器更新在模板匹配上重复预定，检查，执行和更新预定次数的步骤。参考检测中心线的方法进一步描述了分段血管的自动血管分割和时间跟踪的方法。

80. 发明授权

US08715183B2 Methods and apparatus for automated measuring of the interventricular septum thickness 有权
标题翻译：用于自动测量室间隔厚度的方法和装置
公开(公告)号：US08715183B2
公开(公告)日：2014-05-06
申请号：US12825755
申请日：2010-06-29
申请人： Navneeth Subramanian , Anand Magadi Narasimhamurthy , Sheshadri Thiruvenkadam , Dirk Ryan Padfield
发明人： Navneeth Subramanian , Anand Magadi Narasimhamurthy , Sheshadri Thiruvenkadam , Dirk Ryan Padfield
IPC分类号： A61B8/00
CPC分类号： A61B8/0883 , G06T7/12 , G06T7/149 , G06T7/215 , G06T7/62 , G06T2207/10132 , G06T2207/20116 , G06T2207/30048
摘要： A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.
摘要翻译：提供了一种自动测量室间隔厚度的方法。一个实施例中的方法包括获取心脏的一系列超声图像，通过在一系列超声图像上应用隔膜分割算法获取隔膜掩模，使用阀尖端定位算法定位二尖瓣末端并计算室间隔使用室间隔厚度算法。室间隔厚度算法使用隔膜掩模和局部二尖瓣尖端作为输入。

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