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31.发明申请Method of database-guided segmentation of anatomical structures having complex appearances 有权具有复杂外观的解剖结构的数据库引导分割方法公开(公告)号：US20060171586A1
公开(公告)日：2006-08-03
申请号：US11265772
申请日：2005-11-02
申请人： Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu , R. Rao , Alok Gupta
发明人： Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu , R. Rao , Alok Gupta
CPC分类号： G06K9/6255 , G06T7/11 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , Y10S128/922 , Y10S128/923
摘要： A method for segmenting an anatomical structure of interest within an image is disclosed. The anatomical structure of interest is compared to a database of images of like anatomical structures. Those database images of like anatomical structures that are similar to the anatomical structure of interest are identified. The identified database images are used to detect the anatomical structure of interest in the image. The identified database images are also used to determine the shape of the anatomical structure of interest. The anatomical structure of interest is segmented from the image.
摘要翻译： 公开了一种用于分割图像内感兴趣的解剖结构的方法。 感兴趣的解剖结构与类似解剖结构的图像的数据库进行比较。 识别与感兴趣的解剖结构相似的类似解剖结构的数据库图像。 识别的数据库图像用于检测图像中感兴趣的解剖结构。 所识别的数据库图像也用于确定感兴趣的解剖结构的形状。 感兴趣的解剖结构从图像中分割。
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32.发明申请公开(公告)号：US20060045347A1
公开(公告)日：2006-03-02
申请号：US11215419
申请日：2005-08-30
申请人： Jing Xiao , Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu
发明人： Jing Xiao , Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu
IPC分类号： G06K9/46
CPC分类号： G06K9/00127 , G06K9/00221 , G06K9/00973 , G06T7/149
摘要： A method of registering and modeling a deformable shape in a digitized image is provided, comprising the steps of providing a measurement matrix W of N measurements of P points of a D-dimensional deformable shape, determining a basis number K for the N measurements, wherein K
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33.发明授权System and method for detecting and matching anatomical structures using appearance and shape 有权使用外观和形状检测和匹配解剖结构的系统和方法公开(公告)号：US07965869B2
公开(公告)日：2011-06-21
申请号：US12401909
申请日：2009-03-11
申请人： Xiang Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
发明人： Xiang Zhou , Bogdan Georgescu , Dorin Comaniciu , R. Bharat Rao , Alok Gupta
CPC分类号： G06K9/6206 , G06K9/6256 , G06T7/12 , G06T7/149 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A detection framework that matches anatomical structures using appearance and shape is disclosed. A training set of images are used in which object shapes or structures are annotated in the images. A second training set of images represents negative examples for such shapes and structures, i.e., images containing no such objects or structures. A classification algorithm trained on the training sets is used to detect a structure at its location. The structure is matched to a counterpart in the training set that can provide details about the structure's shape and appearance.
摘要翻译： 公开了一种使用外观和形状匹配解剖结构的检测框架。 使用图像的训练集，其中在图像中注释对象形状或结构。 图像的第二训练集表示这种形状和结构的负面例子，即不包含这样的对象或结构的图像。 训练集训练的分类算法用于检测其位置的结构。 该结构与训练集中的对应物匹配，可以提供关于结构形状和外观的细节。
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公开(公告)号：US20060239527A1
公开(公告)日：2006-10-26
申请号：US11351060
申请日：2006-02-09
申请人： Sriram Krishnan , Dorin Comaniciu , Xiang Zhou , Bogdan Georgescu , Helene Houle , R. Rao
发明人： Sriram Krishnan , Dorin Comaniciu , Xiang Zhou , Bogdan Georgescu , Helene Houle , R. Rao
IPC分类号： G06K9/00
CPC分类号： A61B8/483 , A61B6/503 , A61B6/504 , A61B8/08 , A61B8/0883 , A61B8/0891
摘要： Three-dimensional cardiac border is delineated in medical imaging. A view is labeled, such as identifying a two-dimensional view as an apical four-chamber view. A three-dimensional border is detected as a function of the view label. For example, the view is associated from a plane through a volume and a known orientation relative to the heart. Labeling the view indicates the orientation of the heart in the scanned volume. By determining the orientation of the heart, border detection processes may be simplified or assisted.
摘要翻译： 在医学成像中描绘了三维心脏边界。 视图被标记，例如将二维视图识别为顶端四室视图。 根据视图标签检测三维边框。 例如，视图从平面通过体积和相对于心脏的已知取向相关联。 标注视图表示心脏在扫描体积中的方向。 通过确定心脏的方向，可以简化或辅助边界检测过程。
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公开(公告)号：US20050074154A1
公开(公告)日：2005-04-07
申请号：US10957380
申请日：2004-10-01
申请人： Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu , Sriram Krishnan
发明人： Bogdan Georgescu , Xiang Zhou , Dorin Comaniciu , Sriram Krishnan
CPC分类号： G06T7/20 , G06T7/0016 , G06T7/251 , G06T2207/10132 , G06T2207/30048
摘要： A system and method for local deformable motion analysis and for accurately tracking motion of an object isolating local motion of an object from global motion of an object is disclosed. The object is viewed in an image sequence and image regions are sampled to identify object image regions and background image regions. The motion of at least one of the identified background image regions is estimated to identify those background image regions affected by global motion. Motion from multiple background image regions are combined to measure the global motion in that image frame. The measured global motion in the object image regions are compensated to measure local motion of the object and the local motion of the object is tracked. A system and method for accurately measuring the local deformable motion of an object as the relative motion between two control point sets is disclosed. The point sets are defined as the inner contour and the outer contour of an object. The motion of the control point sets is estimated and the relative motion is used to characterize the local deformation and local motion of the object.
摘要翻译： 公开了一种用于局部可变形运动分析和用于精确跟踪物体的局部运动与对象的全局运动隔离的物体的运动的系统和方法。 以图像序列查看对象，并对图像区域进行采样以识别对象图像区域和背景图像区域。 估计所识别的背景图像区域中的至少一个的运动以识别受全局运动影响的那些背景图像区域。 来自多个背景图像区域的运动被组合以测量该图像帧中的全局运动。 在对象图像区域中测量的全局运动被补偿以测量对象的局部运动，并跟踪对象的局部运动。 公开了一种用于精确测量物体的局部可变形运动作为两个控制点组之间的相对运动的系统和方法。 点集被定义为对象的内轮廓和外轮廓。 估计控制点集的运动，并使用相对运动来表征对象的局部变形和局部运动。
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36.发明授权公开(公告)号：US09785858B2
公开(公告)日：2017-10-10
申请号：US12567197
申请日：2009-09-25
申请人： Sascha Seifert , Adrian Barbu , Shaohua Kevin Zhou , David Liu , Johannes Feulner , Martin Huber , Michael Suehling , Alexander Cavallaro , Dorin Comaniciu
发明人： Sascha Seifert , Adrian Barbu , Shaohua Kevin Zhou , David Liu , Johannes Feulner , Martin Huber , Michael Suehling , Alexander Cavallaro , Dorin Comaniciu
CPC分类号： G06K9/4638 , G06K2209/05 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20081 , G06T2207/20128 , G06T2207/30048 , G06T2207/30056
摘要： A method and apparatus for hierarchical parsing and semantic navigation of a full or partial body computed tomography CT scan is disclosed. In particular, organs are segmented and anatomic landmarks are detected in a full or partial body CT volume. One or more predetermined slices of the CT volume are detected. A plurality of anatomic landmarks and organ centers are then detected in the CT volume using a discriminative anatomical network, each detected in a portion of the CT volume constrained by at least one of the detected slices. A plurality of organs, such as heart, liver, kidneys, spleen, bladder, and prostate, are detected in a sense of a bounding box and segmented in the CT volume, detection of each organ bounding box constrained by the detected organ centers and anatomic landmarks. Organ segmentation is via a database-guided segmentation method.
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37.发明授权Method and system for automatic native and bypass coronary ostia detection in cardiac computed tomography volumes 有权心脏计算机断层扫描体积中自动原位和旁路冠状动脉口腔检测的方法和系统公开(公告)号：US09042619B2
公开(公告)日：2015-05-26
申请号：US13233220
申请日：2011-09-15
CPC分类号： G06T7/0081 , G06T7/11 , G06T7/12 , G06T2207/10072 , G06T2207/30048 , G06T2207/30101 , G06T2207/30172
摘要： A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region.
摘要翻译： 公开了用于检测3D体积中的天然和旁路冠状动脉口腔的方法和系统，例如CT体积。 通过使用边缘空间学习（MSL）检测在3D体积中定义左天然冠状动脉口和右天然冠状动脉口的位置的边界框来检测本地冠状动脉，并且局部改善左天然冠状动脉口和右侧的位置 使用训练有素的本地冠状动脉口腔检测器进行本地冠状动脉口。 通过分割3D体积中的上升主动脉表面网格来检测旁路冠状动脉口腔，基于多个训练体积中注释旁路冠状动脉口腔的分布，生成升主动脉表面网格上的多个网格点的搜索区域，以及 通过搜索搜索区域中的多个网格点来检测旁路冠状动脉口。
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公开(公告)号：US08811697B2
公开(公告)日：2014-08-19
申请号：US13080891
申请日：2011-04-06
申请人： Michal Sofka , Kristof Ralovich , Jingdan Zhang , Shaohua Kevin Zhou , Gianluca Paladini , Dorin Comaniciu
发明人： Michal Sofka , Kristof Ralovich , Jingdan Zhang , Shaohua Kevin Zhou , Gianluca Paladini , Dorin Comaniciu
CPC分类号： G06K9/6256 , G06F19/00 , G06F19/321 , G06T7/0012 , G06T2200/16 , G06T2207/20016
摘要： For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity.
摘要翻译： 对于基于云的计算机辅助检测，使用层次检测，允许以逐渐更大的分辨率检测数据。 较粗分辨率下的检测位置用于限制以更高分辨率传输的数据。 仅针对先前检测到的位置周围的邻域发送数据。 使用较高分辨率数据的后续检测会优化位置，但仅适用于与先前检测相关的区域。 通过基于先前的检测限制以更大分辨率提供的区域的数量和/或尺寸，逐行传输避免了一些数据的传输。 另外或者可选地，可以使用有损压缩，而不用或以最小的检测灵敏度降低。
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39.发明授权公开(公告)号：US08805625B2
公开(公告)日：2014-08-12
申请号：US12903501
申请日：2010-10-13
申请人： Jingdan Zhang , Shaohua Kevin Zhou , Waheed A. Abbasi , Chris Vierck , Peter Faltin , Daniel S. Morgan , Larry C. Himes , Dorin Comaniciu , Michael J. Metala
发明人： Jingdan Zhang , Shaohua Kevin Zhou , Waheed A. Abbasi , Chris Vierck , Peter Faltin , Daniel S. Morgan , Larry C. Himes , Dorin Comaniciu , Michael J. Metala
CPC分类号： G01N29/4463 , G01N29/0654 , G01N2291/044 , G01N2291/101 , G01N2291/2693
摘要： A method and apparatus for three-dimensional (3D) visualization and analysis for automatic non-destructive examination of a rotor bore using ultrasound. Data is acquired by scanning the rotor bore with an ultrasound pulser/transducer producing a plurality of one-dimensional ultrasound scans, each scan having a plurality of sample points. Each sample point is associated with a voxel of a regular 3D grid having a plurality of voxels. A Gaussian kernel is associated with each sample point and a value for a particular voxel is determined based on a weighted sum of sample points whose kernels cover the particular voxel. The values for the other voxels of the regular 3D grid are determined similarly. A 3D visualization of the rotor bore can be displayed to a user.
摘要翻译： 一种用于使用超声波对转子孔进行自动无损检测的三维（3D）可视化和分析的方法和装置。 通过用产生多个一维超声扫描的超声波脉冲发生器/换能器扫描转子孔获得数据，每个扫描具有多个采样点。 每个采样点与具有多个体素的规则3D网格的体素相关联。 高斯核与每个采样点相关联，并且基于其内核覆盖特定体元的采样点的加权和来确定特定体素的值。 类似地确定常规3D网格的其他体素的值。 可以向用户显示转子孔的3D可视化。
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公开(公告)号：US08761480B2
公开(公告)日：2014-06-24
申请号：US13229953
申请日：2011-09-12
CPC分类号： G06K9/00 , G06K2209/05 , G06T7/0012 , G06T7/73 , G06T2207/10028 , G06T2207/10081 , G06T2207/20044 , G06T2207/20081 , G06T2207/30101 , G06T2207/30172 , G06T2207/30204
摘要： The present invention provides a method and system for vascular landmark detection in CT volumes. A CT volume is received and an initial position of a plurality of vascular landmarks is detected. The initial position of each of the plurality of vascular landmarks is then adjusted in order to position each vascular landmark inside a vessel lumen. A new position of each of the plurality of vascular landmarks representing the adjusted initial positions is output.
摘要翻译： 本发明提供了CT体积中血管标志物检测的方法和系统。 接收CT体积并检测多个血管界标的初始位置。 然后调整多个血管标志中的每一个的初始位置，以便将血管标记位于血管内腔内。 输出表示调整后的初始位置的多个血管界标中的每一个的新位置。
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