公开(公告)号：US06195409B1

公开(公告)日：2001-02-27

申请号：US09272436

申请日：1999-03-19

申请人： Linda Chang ,  Thomas M. Ernst ,  Laurent Itti

发明人： Linda Chang ,  Thomas M. Ernst ,  Laurent Itti

IPC分类号： A61B603

CPC分类号： A61B6/032 ,  A61B5/055 ,  A61B6/545 ,  G06F19/00 ,  Y10S378/901

摘要： The system and method for automatic scan prescription involves initially performing at least one localizer scan for the object being imaged. The localizer images are analyzed to extract important structural information about the object of interest, and of subobjects of interest, yielding an abstract, schematic description of the object of interest. Optimal spatial locations and scanning parameters are then determined for subsequent scans from the information about the object, possible subobjects, and their relationship to a template. The locations for a particular scan included in a set of protocols selected by the operator are then communicated to the scanner in order to automatically drive the scanner. In a presently preferred embodiment, all of the analysis, matching, and scan prescription operations are preferably carried out by a microprocessor based microcomputer. Subsequent detailed and radiologically relevant scans can then be performed using optimal scanning parameters for the patient.

摘要翻译： 用于自动扫描处方的系统和方法包括最初对被成像对象执行至少一个定位器扫描。 分析定位器图像以提取关于感兴趣对象的重要结构信息以及感兴趣的子对象，从而产生一个抽象的，关注对象的示意图。 然后，从关于对象的信息，可能的子对象以及它们与模板的关系确定随后的扫描的最佳空间位置和扫描参数。 包括在由操作员选择的一组协议中的特定扫描的位置然后被传送到扫描仪，以便自动驱动扫描仪。 在目前的优选实施例中，所有分析，匹配和扫描处方操作优选地由基于微处理器的微计算机执行。 然后可以使用用于患者的最佳扫描参数来执行随后的详细和放射学相关的扫描。

公开(公告)号：US08515131B2

公开(公告)日：2013-08-20

申请号：US13324352

申请日：2011-12-13

申请人： Christof Koch ,  Laurent Itti

发明人： Christof Koch ,  Laurent Itti

IPC分类号： G06K9/00

CPC分类号： G06K9/4671 ,  G06K9/4628 ,  G06T7/12 ,  G06T2207/10016

摘要： Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.

公开(公告)号：US08808195B2

公开(公告)日：2014-08-19

申请号：US12656109

申请日：2010-01-15

申请人： Po-He Tseng ,  Ian G. M. Cameron ,  Douglas P. Munoz ,  Laurent Itti

发明人： Po-He Tseng ,  Ian G. M. Cameron ,  Douglas P. Munoz ,  Laurent Itti

IPC分类号： A61B3/113

CPC分类号： A61B3/113 ,  G06K9/00604 ,  G06K9/4628 ,  G06K9/726

摘要： This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject's eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject's eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject. Neurobehavioural disorders such as Parkinson's disease, Alzheimer's disease, Huntington's disease, fetal alcohol spectrum disorder, attention deficit hyperactivity disorder, schizophrenia, autism, Tourette syndrome, and progressive supranuclear palsy may be assessed and/or diagnosed.

摘要翻译： 本发明提供了用于评估和/或诊断受试者的神经行为障碍的方法，系统和装置。 方法，系统和装置包括受试者自由观察视觉场景，而不必执行任务或遵循特定的指令。 在一个实施例中，使用计算模型来选择视觉场景中的一个或多个特征，并且生成具有预测相对于一个或多个特征的假想观察者的眼睛移动终点的第一映射值的空间映射。 记录受试者的眼睛运动，同时受试者自由观察视觉场景，并且量化对应于被检者的眼睛移动端点的第二图像值与从第一图像值随机选择的一组地图值之间的差异，其中差异是 指示受试者的神经行为障碍。 可以评估和/或诊断诸如帕金森氏病，阿尔茨海默氏病，亨廷顿病，胎儿酒精谱障碍，注意缺陷多动障碍，精神分裂症，孤独症，图雷特综合征和进行性核上麻痹之类的神经行为障碍。

公开(公告)号：US20130131985A1

公开(公告)日：2013-05-23

申请号：US13444839

申请日：2012-04-11

申请人： James D. Weiland ,  Mark S. Humayan ,  Gerard Medioni ,  Armand R. Tanguay, JR. ,  Vivek Pradeep ,  Laurent Itti

发明人： James D. Weiland ,  Mark S. Humayan ,  Gerard Medioni ,  Armand R. Tanguay, JR. ,  Vivek Pradeep ,  Laurent Itti

IPC分类号： G01C21/20 ,  G08B3/00 ,  G08B6/00

CPC分类号： G01C21/20 ,  A61H3/061 ,  G08B3/00 ,  G08B6/00 ,  H04N13/239 ,  H04N2013/0081

摘要： The system comprises a wearable, electronic image acquisition and processing system (or visual enhancement system) to guide visually impaired individuals through their environment, providing information to the user about nearby objects of interest, potentially dangerous obstacles, their location, and potential paths to their destination.

摘要翻译： 该系统包括可穿戴的电子图像采集和处理系统（或视觉增强系统），以通过其环境来引导视觉障碍的个体，向用户提供关于附近的感兴趣物体的潜在危险障碍物，其位置以及潜在的路径 目的地。

公开(公告)号：US08098886B2

公开(公告)日：2012-01-17

申请号：US11430684

申请日：2006-05-08

申请人： Christof Koch ,  Laurent Itti

发明人： Christof Koch ,  Laurent Itti

IPC分类号： G06K9/00

CPC分类号： G06K9/4671 ,  G06K9/4628 ,  G06T7/12 ,  G06T2207/10016

摘要： Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.

摘要翻译： 在图像的视觉显示中检测图像显着性。 图像在多个空间尺度和多个特征通道上进行分析，以确定图像不同部分的可能显着性。 该系统的一个应用是广告语境。 可以通过二阶统计量来改善检测，例如。 平均值和不同图像部分相对于其他部分的标准偏差。 通过观察多个空间尺度上的边缘，不同的边缘可以被认为是延伸的边缘。 一组特征通道可以优化用于运动图像，并可以检测运动或闪烁。 可以通过多个光谱范围获得图像，用户可以指导如何最大化显着性。 这可以应用于自动评估和优化销售或广告显示。

公开(公告)号：US20100208205A1

公开(公告)日：2010-08-19

申请号：US12656109

申请日：2010-01-15

申请人： Po-He Tseng ,  Ian G. M. Cameron ,  Douglas P. Munoz ,  Laurent Itti

发明人： Po-He Tseng ,  Ian G. M. Cameron ,  Douglas P. Munoz ,  Laurent Itti

IPC分类号： A61B3/113

CPC分类号： A61B3/113 ,  G06K9/00604 ,  G06K9/4628 ,  G06K9/726

摘要： This invention provides methods, system, and apparatus for assessing and/or diagnosing a neurobehavioural disorder in a subject. The methods, systems, and apparatus include the subject freely observing a visual scene, without having to carry out a task or follow specific instructions. In one embodiment, a computational model is used to select one or more feature in a visual scene and generate a spatial map having first map values that are predictive of eye movement end points of a hypothetical observer relative to the one or more feature. A subject's eye movements are recorded while the subject freely observes the visual scene, and a difference between second map values that correspond to the subject's eye movement endpoints and a set of map values selected randomly from the first map values is quantified, wherein the difference is indicative of a neurobehavioural disorder in the subject. Neurobehavioural disorders such as Parkinson's disease, Alzheimer's disease, Huntington's disease, fetal alcohol spectrum disorder, attention deficit hyperactivity disorder, schizophrenia, autism, Tourette syndrome, and progressive supranuclear palsy may be assessed and/or diagnosed.

摘要翻译： 本发明提供了用于评估和/或诊断受试者的神经行为障碍的方法，系统和装置。 方法，系统和装置包括受试者自由观察视觉场景，而不必执行任务或遵循特定的指令。 在一个实施例中，使用计算模型来选择视觉场景中的一个或多个特征，并且生成具有预测相对于一个或多个特征的假想观察者的眼睛移动终点的第一映射值的空间映射。 记录受试者的眼睛运动，同时对象自由观察视觉场景，并且量化对应于被检者的眼睛移动端点的第二地图值与从第一地图值随机选择的一组地图值之间的差异，其中差异是 指示受试者的神经行为障碍。 可以评估和/或诊断诸如帕金森氏病，阿尔茨海默氏病，亨廷顿病，胎儿酒精谱障碍，注意缺陷多动障碍，精神分裂症，孤独症，图雷特综合征和进行性核上麻痹之类的神经行为障碍。

公开(公告)号：US20060215922A1

公开(公告)日：2006-09-28

申请号：US11430684

申请日：2006-05-08

申请人： Christof Koch ,  Laurent Itti

发明人： Christof Koch ,  Laurent Itti

IPC分类号： G06K9/36

CPC分类号： G06K9/4671 ,  G06K9/4628 ,  G06T7/12 ,  G06T2207/10016

摘要： Detection of image salience in a visual display of an image. The image is analyzed at multiple spatial scales and over multiple feature channels to determine the likely salience of different portions of the image. One application for the system is in an advertising context. The detection may be improved by second order statistics, e.g. mean and the standard deviations of different image portions relative to other portions. Different edges may be considered as being extended edges by looking at the edges over multiple spatial scales. One set of feature channels can be optimized for use in moving images, and can detect motion or flicker. The images can be obtained over multiple spectral ranges the user can be instructed about how to maximize the saliency. This can be applied to automatically evaluate and optimize sales or advertisement displays.