-
1.发明申请NON-INVASIVE LOCATION AND TRACKING OF TUMORS AND OTHER TISSUES FOR RADIATION THERAPY 审中-公开非侵入性位置和跟踪肿瘤和其他用于放射治疗的组织公开(公告)号：US20100198101A1
公开(公告)日：2010-08-05
申请号：US12679730
申请日：2008-09-24
申请人： Xubo Song , Martin Fuss , K. Jeffrey Eriksen , Deniz Erdogmus , Mark Deffebach , Darryl Kaurin , John Holland , John Fitchen
发明人： Xubo Song , Martin Fuss , K. Jeffrey Eriksen , Deniz Erdogmus , Mark Deffebach , Darryl Kaurin , John Holland , John Fitchen
IPC分类号： A61B5/053
CPC分类号： A61N5/103 , A61B5/0536 , A61B5/0871 , A61B5/091 , A61N5/1037 , A61N5/1049 , A61N2005/1051 , A61N2005/1059
摘要： Embodiments herein provide a non-invasive tracking system that accurately predicts the location of tumors, such as lung tumors, in real time, while allowing patients to breathe naturally. This is accomplished by using Electrical Impedance Tomography (EIT), in conjunction with spirometry, strain gauge and infrared sensors, and by using sophisticated patient-specific mathematical models that incorporate the dynamics of tumor motion. With the direction and speed of lung tumor movement successfully tracked, radiation may be effectively delivered to the lung tumor and not to the surrounding healthy tissue, thus increased radiation dosage may be directed to improving local tumor control without compromising functional parenchyma.
摘要翻译： 本文的实施例提供了一种非侵入式跟踪系统，其可以实时准确预测肿瘤（例如肺肿瘤）的位置，同时允许患者自然呼吸。 这通过使用电阻抗层析成像（EIT）与肺量计，应变计和红外传感器结合使用，并通过使用结合肿瘤运动动力学的复杂的患者特定数学模型来实现。 随着肺肿瘤移动的方向和速度的顺利跟踪，辐射可以有效地传递到肺肿瘤而不是周围的健康组织，因此增加的辐射剂量可以用于改善局部肿瘤的控制而不损害功能实质。
-
2.发明申请NON-INVASIVE LOCATION AND TRACKING OF TUMORS AND OTHER TISSUES FOR RADIATION THERAPY 审中-公开非侵入性位置和跟踪肿瘤和其他用于放射治疗的组织公开(公告)号：US20140012061A1
公开(公告)日：2014-01-09
申请号：US13907417
申请日：2013-05-31
申请人： Xubo Song , Martin Fuss , Deniz Erdogmus , Daryl Kaurin
发明人： Xubo Song , Martin Fuss , Deniz Erdogmus , Daryl Kaurin
IPC分类号： A61N5/10
CPC分类号： A61N5/103 , A61B5/0536 , A61B5/0871 , A61B5/091 , A61N5/1037 , A61N5/1049 , A61N2005/1051 , A61N2005/1059
摘要： Embodiments herein provide a non-invasive tracking system that accurately predicts the location of tumors, such as lung tumors, in real time, while allowing patients to breathe naturally. This is accomplished by using Electrical Impedance Tomography (EIT), in conjunction with spirometry, strain gauge and infrared sensors, and by using sophisticated patient-specific mathematical models that incorporate the dynamics of tumor motion. With the direction and speed of lung tumor movement successfully tracked, radiation may be effectively delivered to the lung tumor and not to the surrounding healthy tissue, thus increased radiation dosage may be directed to improving local tumor control without compromising functional parenchyma.
摘要翻译： 本文的实施例提供了一种非侵入式跟踪系统，其可以实时准确预测肿瘤（例如肺肿瘤）的位置，同时允许患者自然呼吸。 这通过使用电阻抗层析成像（EIT）与肺量计，应变计和红外传感器结合使用，并通过使用结合肿瘤运动动力学的复杂的患者特定数学模型来实现。 随着肺肿瘤移动的方向和速度的顺利跟踪，辐射可以有效地传递到肺肿瘤而不是周围的健康组织，因此增加的辐射剂量可以用于改善局部肿瘤的控制而不损害功能实质。
-
公开(公告)号：US07529651B2
公开(公告)日：2009-05-05
申请号：US10814441
申请日：2004-03-31
CPC分类号： G05B13/042 , G05B13/04
摘要： A method of building a model for a physical plant in the presence of noise can include initializing the model of the physical plant, wherein the model is characterized by a parameter vector, estimating an output of the model, and computing a composite cost comprising a weighted average of an error between the estimated output from the model and an actual output of the physical plant, and a derivative of the error. The method further can include determining a step size and a model update direction. The model of the physical plant can be updated. The updating step can be dependent upon the step size. Another embodiment can include the steps of determining a Kalman gain and determining an error vector comprised of two entries weighted by a scalar parameter.
摘要翻译： 在存在噪声的情况下建立物理设备的模型的方法可以包括初始化物理设备的模型，其中模型的特征在于参数向量，估计模型的输出，以及计算复合成本，其包括加权 来自模型的估计输出与物理设备的实际输出之间的误差的平均值以及误差的导数。 该方法还可以包括确定步长和模型更新方向。 物理工厂的模型可以更新。 更新步骤可以取决于步长。 另一个实施例可以包括以下步骤：确定卡尔曼增益并确定包括由标量参数加权的两个条目的误差向量。
-
4.发明申请公开(公告)号：US20130138248A1
公开(公告)日：2013-05-30
申请号：US13307580
申请日：2011-11-30
申请人： Santosh Mathan , Kevin J. Conner , Deniz Erdogmus
发明人： Santosh Mathan , Kevin J. Conner , Deniz Erdogmus
CPC分类号： G06F3/015 , A61B5/04842 , A61B5/7264 , F41G3/165
摘要： Systems and methods are provided for controlling a multiple degree-of-freedom system. Plural stimuli are provided to a user, and steady state visual evoked response potential (SSVEP) signals are obtained from the user. The SSVEP signals are processed to generate a system command. Component commands are generated based on the system command, the plurality of components commands causing the multiple degree-of-freedom system to implement the system command.
摘要翻译： 提供了用于控制多自由度系统的系统和方法。 向用户提供多个刺激，从用户获得稳态视觉诱发反应电位（SSVEP）信号。 处理SSVEP信号以生成系统命令。 基于系统命令生成组件命令，导致多自由度系统的多个组件命令实现系统命令。
-
5.发明授权Intelligent image segmentation system and method for accurate target detection 失效智能图像分割系统及方法，用于精确的目标检测公开(公告)号：US08254634B2
公开(公告)日：2012-08-28
申请号：US12395217
申请日：2009-02-27
申请人： Santosh Mathan , Misha Pavel , Deniz Erdogmus , Kenneth Hild , Rida Hamza , Kwong Wing Au
发明人： Santosh Mathan , Misha Pavel , Deniz Erdogmus , Kenneth Hild , Rida Hamza , Kwong Wing Au
IPC分类号： G06K9/00
CPC分类号： G06K9/3241
摘要： Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.
摘要翻译： 提供了用于将图像分割成多个图像芯片以在显示器上呈现的方法和装置。 通过检测与图像中的特征相对应的感兴趣对象，在图像内检测到感兴趣的潜在对象。 图像被均匀地划分为多个预备图像码片。 通过自动调整每个初步图像芯片，使得在每个初步图像芯片内检测到的感兴趣的目标物体在每个初步图像芯片中至少基本居中，产生分类图像芯片。
-
公开(公告)号：US20100280403A1
公开(公告)日：2010-11-04
申请号：US12812401
申请日：2009-01-12
IPC分类号： A61B5/0482
CPC分类号： A61B5/0484 , A61B5/04001 , A61B5/726 , A61B5/7267 , G06F3/015 , G06K9/6232 , G06K9/6297 , G16H50/20
摘要： Embodiments of the disclosed technology provide reliable and fast communication of a human through a direct brain interface which detects the intent of the user. An embodiment of the disclosed technology comprises a system and method in which least one sequence of a plurality of stimuli is presented to an individual (using appropriate sensory modalities), and the time course of at least one measurable response to the sequence(s) is used to select at least one stimulus from the sequence(s). In an embodiment, the sequence(s) may be dynamically altered based on previously selected stimuli and/or on estimated probability distributions over the stimuli. In an embodiment, such dynamic alteration may be based on predictive models of appropriate sequence generation mechanisms, such as an adaptive or static sequence model.
摘要翻译： 所公开的技术的实施例通过检测用户的意图的直接脑界面提供人的可靠和快速的通信。 所公开技术的一个实施例包括一种系统和方法，其中将多个刺激的至少一个序列呈现给个体（使用适当的感官模态），并且至少一个可测量的序列响应的时间过程是 用于从序列中选择至少一个刺激物。 在一个实施例中，可以基于先前选择的刺激和/或在刺激上的估计概率分布来动态地改变序列。 在一个实施例中，这种动态改变可以基于适当序列生成机制的预测模型，诸如自适应或静态序列模型。
-
公开(公告)号：US20050027494A1
公开(公告)日：2005-02-03
申请号：US10814441
申请日：2004-03-31
申请人： Deniz Erdogmus , Jose Principe , Yadunandana Rao
发明人： Deniz Erdogmus , Jose Principe , Yadunandana Rao
CPC分类号： G05B13/042 , G05B13/04
摘要： A method of building a model for a physical plant in the presence of noise can include initializing the model of the physical plant, wherein the model is characterized by a parameter vector, estimating an output of the model, and computing a composite cost comprising a weighted average of an error between the estimated output from the model and an actual output of the physical plant, and a derivative of the error. The method further can include determining a step size and a model update direction. The model of the physical plant can be updated. The updating step can be dependent upon the step size. Another embodiment can include the steps of determining a Kalman gain and determining an error vector comprised of two entries weighted by a scalar parameter.
摘要翻译： 在存在噪声的情况下建立物理设备的模型的方法可以包括初始化物理设备的模型，其中模型的特征在于参数向量，估计模型的输出，以及计算复合成本，其包括加权 来自模型的估计输出与物理设备的实际输出之间的误差的平均值以及误差的导数。 该方法还可以包括确定步长和模型更新方向。 物理工厂的模型可以更新。 更新步骤可以取决于步长。 另一个实施例可以包括以下步骤：确定卡尔曼增益并确定包括由标量参数加权的两个条目的误差向量。
-
8.发明申请公开(公告)号：US20100220904A1
公开(公告)日：2010-09-02
申请号：US12395217
申请日：2009-02-27
申请人： Santosh Mathan , Misha Pavel , Deniz Erdogmus , Kenneth Hild , Rida Hamza , Kwong Wing Au
发明人： Santosh Mathan , Misha Pavel , Deniz Erdogmus , Kenneth Hild , Rida Hamza , Kwong Wing Au
CPC分类号： G06K9/3241
摘要： Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.
摘要翻译： 提供了用于将图像分割成多个图像芯片以在显示器上呈现的方法和装置。 通过检测与图像中的特征相对应的感兴趣对象，在图像内检测出感兴趣的潜在对象。 图像被均匀地划分为多个预备图像码片。 通过自动调整每个初步图像芯片，使得在每个初步图像芯片内检测到的感兴趣的目标物体在每个初步图像芯片中至少基本居中，产生分类图像芯片。
-
公开(公告)号：US20090136098A1
公开(公告)日：2009-05-28
申请号：US11945653
申请日：2007-11-27
IPC分类号： G06K9/00
摘要： A system and method of efficiently and effectively triaging an image that may include one or more target entities are provided. The image is divided into a plurality of individual image chips that each have a determinable image complexity. The image complexity of each image chip is determined, and each image chip is successively displayed to a user for a presentation time period that, for each image chip, varies based on the determined image complexity of the image chip.
摘要翻译： 提供了可以有效地和有效地对可能包括一个或多个目标实体的图像进行分类的系统和方法。 图像被分成多个单独的图像芯片，每个图像芯片具有可确定的图像复杂度。 确定每个图像芯片的图像复杂度，并且每个图像芯片在用于每个图像芯片根据所确定的图像芯片的图像复杂度而变化的呈现时间周期上被连续显示给用户。
-
10.发明授权公开(公告)号：US06963604B2
公开(公告)日：2005-11-08
申请号：US10814448
申请日：2004-03-31
CPC分类号： H04L25/0305 , H04L2025/03401 , H04L2025/0342 , H04L2025/0363 , H04L2025/037 , H04L2025/03732
摘要： An iterative method of equalizing an input signal received over a digital communication channel can include (a) using a kernel density estimate where different values of a kernel size are indicative of either a blind or a decision-directed equalization mode, (b) processing a received signal using a blind equalization mode, and (c) evaluating, on a block or sample basis, an error measure based on a distance among a distribution of an equalizer output and a constellation. The method also can include (d) updating the kernel size based upon the error measure thereby facilitating automatic switching between the blind and decision-directed equalization modes, where the kernel size is initially set to a value indicative of the blind equalization mode. The method additionally can include (e) selectively applying blind equalization or decision-directed equalization to the input signal according to the updated kernel size for subsequent iterations of steps (c)-(e).
摘要翻译： 对通过数字通信信道接收的输入信号进行均衡的迭代方法可以包括：（a）使用核密度估计，其中不同的核大小值指示盲目或决策导向的均衡模式，（b）处理 使用盲均衡模式接收信号，以及（c）基于块或采样基于均衡器输出和星座分布之间的距离的误差测量。 该方法还可以包括（d）基于误差测量来更新内核大小，从而促进盲目和决策导向的均衡模式之间的自动切换，其中核心大小被初始设置为指示盲均衡模式的值。 该方法还可以包括（e）根据更新的核大小，对步骤（c） - （e）的后续迭代，对输入信号选择性地应用盲均衡或决策导向均衡。
-
-
-
-
-
-
-
-
-
搜索结果
10 条记录 (耗时 0.029 秒)
