公开(公告)号：US20120086645A1

公开(公告)日：2012-04-12

申请号：US13213210

申请日：2011-08-19

申请人： Xianjun S. Zheng ,  Joeri Kiekebosch ,  Jeng-Weei James Lin ,  Stuart Goose

发明人： Xianjun S. Zheng ,  Joeri Kiekebosch ,  Jeng-Weei James Lin ,  Stuart Goose

IPC分类号： G06F3/02

CPC分类号： G06F3/013 ,  G06F3/0236 ,  G06F3/04842

摘要： A specially-configured interactive user interface for use in eye typing takes the form of a three-layer arrangement that allows for controlling computer input with eye gazes. The three-layer arrangement includes an outer, rectangular ring of letters, displayed clockwise in alphabetical order (forming the first layer). A group of “frequently-used words” associated with the letters being typed forms an inner ring (and is defined as the second layer). This second layer of words is constantly updated as the user continues to enter text. The third layer is a central “open” portion of the interface and forms the typing space—the “text box” that will be filled as the user continues to type. A separate row of control/function keys (including mode-switching for upper case vs. lower case, numbers and punctuation) is positioned adjacent to the three-layer on-screen keyboard display.

摘要翻译： 用于眼睛分类的特殊配置的交互式用户界面采用三层布置的形式，允许用眼睛控制计算机输入。 三层布置包括外部矩形的字母环，按字母顺序顺序显示（形成第一层）。 与正在键入的字母相关联的一组“经常使用的词”形成内环（并且被定义为第二层）。 当用户继续输入文本时，第二层的单词不断更新。 第三层是接口的中央“打开”部分，并形成打字空间 - 将在用户继续键入时填充的“文本框”。 控制/功能键的单独行（包括大写字母，小写，数字和标点符号的模式切换）位于与三层屏幕键盘显示屏相邻的位置。

公开(公告)号：US20120081362A1

公开(公告)日：2012-04-05

申请号：US13226907

申请日：2011-09-07

申请人： Atilla Peter Kiraly ,  Carol L. Novak ,  Benjamin L. Odry

发明人： Atilla Peter Kiraly ,  Carol L. Novak ,  Benjamin L. Odry

IPC分类号： G09G5/377 ,  G06T15/00

CPC分类号： G06T19/00 ,  A61B5/055 ,  A61B6/032 ,  A61B6/5241 ,  A61B8/5253 ,  G06T2219/008 ,  G09G5/14 ,  G09G2340/12 ,  G09G2380/08

摘要： A dynamic method (100) to better depict context among the different views of an imaging visualization application used by a medical workstation.

摘要翻译： 一种动态方法（100），用于更好地描绘由医疗工作站使用的成像可视化应用的不同视图中的上下文。

公开(公告)号：US20120078598A1

公开(公告)日：2012-03-29

申请号：US13238402

申请日：2011-09-21

申请人： Richard Gary McDaniel

发明人： Richard Gary McDaniel

IPC分类号： G06G7/48

CPC分类号： G06F17/5086 ,  G06F17/5009

摘要： A computer-implemented method of simulating a physical system includes accessing a representation of the physical system, the representation defining a joint relationship between first and second rigid body objects, the joint relationship being specified via an instantiation of a class, the class instantiation being representative of a parameter of the joint relationship. The method further includes implementing, with a processor, a function of the parameter class instantiation, the function being operable to return a characteristic of an axis of the joint relationship, constraining, with the processor, the joint relationship based on the returned axis characteristic, and maintaining the representation of the physical system in accordance with the constrained joint relationship.

摘要翻译： 计算机实现的模拟物理系统的方法包括访问物理系统的表示，该表示定义第一和第二刚体对象之间的关节关系，通过类的实例来指定关节关系，类实例化是代表性的 的一个参数的联合关系。 该方法还包括利用处理器实现参数类实例化的功能，该功能可操作以返回关节关系的轴的特性，与处理器约束基于返回的轴特性的关节关系， 并按照约束的联合关系维持物理系统的表示。

公开(公告)号：US20120071755A1

公开(公告)日：2012-03-22

申请号：US13233220

申请日：2011-09-15

申请人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

发明人： Yefeng Zheng ,  Fernando Vega-Higuera ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

IPC分类号： A61B6/03

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。

公开(公告)号：US20120070074A1

公开(公告)日：2012-03-22

申请号：US13228509

申请日：2011-09-09

申请人： David Liu ,  Shaohua Kevin Zhou

发明人： David Liu ,  Shaohua Kevin Zhou

IPC分类号： G06K9/62

CPC分类号： G06K9/6257 ,  G06K2209/051

摘要： An apparatus and method for training a landmark detector receives training data which includes a plurality of positive training bags, each including a plurality of positively annotated instances, and a plurality of negative training bags, each including at least one negatively annotated instance. Classification function is initialized by training a first weak classifier based on the positive training bags and the negative training bags. All training instances are evaluated using the classification function. For each of a plurality of remaining classifiers, a cost value gradient is calculated based on spatial context information of each instance in each positive bag evaluated by the classification function. A gradient value associated with each of the remaining weak classifiers is calculated based on the cost value gradients, and a weak classifier is selected which has a lowest associated gradient value and given a weighting parameter and added to the classification function.

摘要翻译： 用于训练地标检测器的装置和方法接收训练数据，训练数据包括多个正训练袋，每个正训练袋包括多个带有正面注释的实例，以及多个负训练袋，每个包括至少一个负注释实例。 基于积极的训练袋和负面训练袋训练第一个弱分类器来初始化分类功能。 使用分类函数评估所有训练实例。 对于多个剩余分类器中的每一个，基于由分类函数评估的每个正包中的每个实例的空间上下文信息来计算成本值梯度。 基于成本值梯度计算与剩余弱分类器中的每一个相关联的梯度值，并且选择具有最低相关梯度值并给出加权参数并加到分类函数的弱分类器。

公开(公告)号：US20120070046A1

公开(公告)日：2012-03-22

申请号：US13229855

申请日：2011-09-12

申请人： Wen Wu ,  Terrence Chen ,  Peng Wang ,  Norbert Strobel ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

发明人： Wen Wu ,  Terrence Chen ,  Peng Wang ,  Norbert Strobel ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06T7/0014 ,  A61B2034/2065 ,  A61B2090/376 ,  G06K2209/057 ,  G06T7/20 ,  G06T2207/10121 ,  G06T2207/30021 ,  G06T2207/30048

摘要： A method and system for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence is disclosed. An electrode model is initialized in a first frame of the fluoroscopic image sequence based on input locations of CS sinus catheter electrodes in the first frame. The electrode model is tracked in subsequent frames of the fluoroscopic image sequence by detecting electrode position candidates in the subsequent frames of the fluoroscopic image sequence using at least one trained electrode detector, generating electrode model candidates in the subsequent frames based on the detected electrode position candidates, calculating a probability score for each of the electrode model candidates, and selecting an electrode model candidate based on the probability score.

摘要翻译： 公开了一种用于在荧光镜图像序列中检测和跟踪冠状窦（CS）导管电极的方法和系统。 基于第一帧中的CS窦导管电极的输入位置，在荧光镜图像序列的第一帧中初始化电极模型。 通过使用至少一个经过训练的电极检测器检测荧光镜像图像序列的后续帧中的电极位置候选物，在荧光图像序列的后续帧中跟踪电极模型，基于检测到的电极位置候选产生后续帧中的电极模型候选 计算每个电极模型候选的概率分数，并且基于概率分数来选择电极模型候选。

公开(公告)号：US08135453B2

公开(公告)日：2012-03-13

申请号：US11558956

申请日：2006-11-13

申请人： Gregory G. Slabaugh ,  Jason Tyan

发明人： Gregory G. Slabaugh ,  Jason Tyan

IPC分类号： A61B6/00 ,  A61B8/00 ,  A61B8/14

CPC分类号： H04R25/658 ,  A61B5/0066 ,  A61B5/1076 ,  A61B5/1077 ,  A61B5/6817 ,  H04R25/652

摘要： A method and apparatus for generating a three dimensional representation of an ear canal are disclosed whereby an ear canal of a patient is imaged using optical coherence tomography (OCT). In a first embodiment, cross-section images of an ear canal are taken by, for example, rotating an OCT imaging sensor about a predetermined axis at each of a plurality of positions. In accordance with another embodiment, a contour line is then identified in each of the cross section images and a flow algorithm is used to identify the boundary of the ear canal cross section. Once the boundaries of each cross section have been identified, all of the cross section images are combined to generate a three dimensional image of the ear canal.

摘要翻译： 公开了一种用于产生耳道的三维表示的方法和装置，其中使用光学相干断层摄影（OCT）对患者的耳道进行成像。 在第一实施例中，耳道的横截面图像是通过例如在多个位置的每一个处围绕预定轴线旋转OCT成像传感器而获得的。 根据另一实施例，然后在每个截面图像中识别轮廓线，并且使用流动算法来识别耳道横截面的边界。 一旦已经识别出每个横截面的边界，则将所有横截面图像组合以产生耳道的三维图像。

公开(公告)号：US08126273B2

公开(公告)日：2012-02-28

申请号：US12045074

申请日：2008-03-10

申请人： Gang Li ,  Yakup Genc

发明人： Gang Li ,  Yakup Genc

IPC分类号： G06K9/46

CPC分类号： G06K9/32 ,  G06K2209/40 ,  G06T7/593 ,  G06T2207/10012

摘要： A method for reconstructing three-dimensional, plural views of images from two dimensional image data. The method includes: obtaining two-dimensional, stereo digital data from images of an object; processing the digital data to generate an initial three-dimensional candidate of the object, such process using projective geometric constraints imposed on edge points of the object; refining the initial candidate comprising examining spatial coherency of neighboring edge points along a surface of the candidate.

摘要翻译： 一种从二维图像数据重建图像的三维多重视图的方法。 该方法包括：从对象的图像获得二维立体数字数据; 处理数字数据以产生对象的初始三维候选，该过程使用施加在对象的边缘点上的投影几何约束; 细化初始候选者，包括沿候选的表面检查相邻边缘点的空间一致性。

公开(公告)号：US08098907B2

公开(公告)日：2012-01-17

申请号：US11425167

申请日：2006-06-20

申请人： Xiao-Hong Michelle Yan ,  Ke Huang ,  Hans Schüll

发明人： Xiao-Hong Michelle Yan ,  Ke Huang ,  Hans Schüll

IPC分类号： G06K9/00 ,  G06K9/42

CPC分类号： G06T7/0012 ,  A61B3/12 ,  G06T2207/30041

摘要： A local adaptive method is proposed for automatic detection of microaneurysms in a digital ocular fundus image. Multiple subregions of the image are automatically analyzed and adapted to local intensity variation and properties. A priori region and location information about structural features such as vessels, optic disk and hard exudates are incorporated to further improve the detection accuracy. The method effectively improves the specificity of microaneurysms detection, without sacrificing sensitivity. The method may be used in automatic level-one grading of diabetic retinopathy screening.

摘要翻译： 提出了一种局部自适应方法，用于数字眼底图像中的微动脉瘤的自动检测。 图像的多个子区域被自动分析并适应于局部强度变化和性质。 包括关于结构特征如血管，视盘和硬质渗出物的先验区域和位置信息，以进一步提高检测精度。 该方法有效地提高了微动脉瘤检测的特异性，而不牺牲敏感性。 该方法可用于糖尿病视网膜病变筛查的自动一级分级。

公开(公告)号：US08098889B2

公开(公告)日：2012-01-17

申请号：US12014397

申请日：2008-01-15

申请人： Ying Zhu ,  Gregory Baratoff ,  Thorsten Köhler

发明人： Ying Zhu ,  Gregory Baratoff ,  Thorsten Köhler

IPC分类号： G06K9/00

CPC分类号： B60W40/02 ,  G06T7/246 ,  G06T2207/20016 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30252 ,  G08G1/16 ,  G08G1/166 ,  G08G1/167

摘要： A method for vehicle detection and tracking includes acquiring video data including a plurality of frames, comparing a first frame of the acquired video data against a set of one or more vehicle detectors to form vehicle hypotheses, pruning and verifying the vehicle hypotheses using a set of course-to-fine constraints to detect a vehicle, and tracking the detected vehicle within one or more subsequent frames of the acquired video data by fusing shape template matching with one or more vehicle detectors.

摘要翻译： 一种用于车辆检测和跟踪的方法包括获取包括多个帧的视频数据，将所获取的视频数据的第一帧与一组一个或多个车辆检测器进行比较，以形成车辆假设，使用一组 通过融合与一个或多个车辆检测器的形状模板匹配来跟踪所获取的视频数据的一个或多个后续帧中的检测到的车辆。