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1. 发明申请

WO2007079099A2 CROSS-TIME AND CROSS-MODALITY MEDICAL DIAGNOSIS 审中-公开
标题翻译：交叉和跨模式医学诊断
公开(公告)号：WO2007079099A2
公开(公告)日：2007-07-12
申请号：PCT/US2006/049332
申请日：2006-12-27
申请人： EASTMAN KODAK COMPANY , CHEN, Shoupu , HUO, Zhimin , RAY, Lawrence Allen
发明人： CHEN, Shoupu , HUO, Zhimin , RAY, Lawrence Allen
IPC分类号： G06T7/00
CPC分类号： G06T3/0075 , G06K9/00563 , G06K9/32 , G06K9/52 , G06K2209/053 , G06T7/38 , G06T2207/30068
摘要： A cross-time and cross-modality inspection method for medical image diagnosis. A first set of medical images of a subject is accessed wherein the first set is captured at a first time period by a first modality. A second set of medical images of the subject is accessed, wherein the second set is captured at a second time period by a second modality. The first and second sets are each comprised of a plurality of medical image. Image registration is performed by mapping the plurality of medical images of the first and second sets to predetermined spatial coordinates. A cross-time image mapping is performed of the first and second sets. Means are provided for interactive cross-time medical image analysis.
摘要翻译：用于医学图像诊断的跨时间和交叉模式检查方法。访问被摄体的第一组医学图像，其中第一组在第一时间段被第一模态捕获。访问对象的第二组医学图像，其中第二组在第二时间段被第二模式捕获。第一组和第二组各自包括多个医学图像。通过将第一组和第二组的多个医学图像映射到预定的空间坐标来执行图像注册。执行第一和第二组的交叉时间图像映射。提供交互式时间医学图像分析的手段。

2. 发明申请

WO2007018755A1 ABNORMALITY DETECTION IN MEDICAL IMAGES 审中-公开
标题翻译：医学图像异常检测
公开(公告)号：WO2007018755A1
公开(公告)日：2007-02-15
申请号：PCT/US2006/024013
申请日：2006-06-20
申请人： EASTMAN KODAK COMPANY , CAHILL, Nathan David , CHEN, Shoupu , SUN, Zhaohui , RAY, Lawrence Allen
发明人： CAHILL, Nathan David , CHEN, Shoupu , SUN, Zhaohui , RAY, Lawrence Allen
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T2207/30061
摘要： A system for the detection of abnormalities in a medical image of a subject. The system includes an examination bundle, a learning engine, and a detecting engine. The examination bundle includes at least one medical image of the subject from a first modality and at least one medical image of the subject from a second modality. The learning engine is employed for determining the characteristics of abnormalities within the at least one medical image from the first modality and the at least one medical image from the second modality. The detecting engine is employed for detecting abnormalities within at least one of the medical images comprising the examination bundle.
摘要翻译：一种用于检测受试者的医学图像中的异常的系统。该系统包括检查包，学习引擎和检测引擎。检查束包括来自第一模态的受试者的至少一个医学图像和来自第二模态的受试者的至少一个医学图像。所述学习引擎用于从所述第一模态和所述至少一个来自所述第二模态的医学图像确定所述至少一个医学图像内的异常的特征。检测引擎用于检测包括检查束的至少一个医学图像中的异常。

3. 发明申请

WO2005104032A2 AUTOMATIC IN VIVO IMAGE ADJUSTMENT 审中-公开
标题翻译：自动体内图像调整
公开(公告)号：WO2005104032A2
公开(公告)日：2005-11-03
申请号：PCT/US2005/002795
申请日：2005-02-01
申请人： EASTMAN KODAK COMPANY , CHEN, Shoupu , CAHILL, Nathan David , RAY, Lawrence Allen
发明人： CHEN, Shoupu , CAHILL, Nathan David , RAY, Lawrence Allen
IPC分类号： G06T5/00
CPC分类号： A61B1/041 , G06T5/002 , G06T5/008 , G06T2207/30028
摘要： A digital image processing method for exposure adjustment of in vivo images that includes the steps of acquiring in vivo images; detecting any crease feature found in the in vivo images; preserving the detected crease feature; and adjusting exposure of the in vivo images with the detected crease feature preserved.
摘要翻译：一种用于体内图像的曝光调整的数字图像处理方法，其包括以下步骤：获取体内图像; 检测体内图像中发现的任何折痕特征; 保留检测到的折痕特征; 并调整暴露的体内图像与检测到的折痕功能保存。

4. 发明申请

WO2007084272A1 REAL-TIME TARGET CONFIRMATION FOR RADIATION THERAPY 审中-公开
标题翻译：辐射治疗的实时目标确认
公开(公告)号：WO2007084272A1
公开(公告)日：2007-07-26
申请号：PCT/US2007/000203
申请日：2007-01-04
申请人： CARESTREAM HEALTH, INC. , CHEN, Shoupu , SCHILDKRAUT, Jay Stuart , RAY, Lawrence Allen
发明人： CHEN, Shoupu , SCHILDKRAUT, Jay Stuart , RAY, Lawrence Allen
IPC分类号： A61N5/10
CPC分类号： A61N5/1049 , A61N5/1067 , A61N2005/1061
摘要： A method for radiation therapy with target recognition has a first target identification system for obtaining first target characteristics within a patient's body. A second target identification system obtains second target characteristics within the body aided by the first target characteristics. A computation means for calculation of three-dimensional coordinates of the target region with respect to a three-dimensional radiotherapy system uses the second target characteristics. Irradiation means for radiotherapy mode adaptation is used in response to the second target characteristics and the calculation of three-dimensional coordinates of the target region.
摘要翻译：具有目标识别的放射治疗方法具有用于获得患者体内第一目标特征的第一目标识别系统。第二目标识别系统通过第一目标特征获得身体内的第二目标特征。用于计算相对于三维放射治疗系统的目标区域的三维坐标的计算装置使用第二目标特征。用于放射治疗模式适应的照射装置用于响应于第二目标特征和目标区域的三维坐标的计算。

5. 发明申请

WO2005052850A1 CONTENT RECOGNITION TO SELECT AN EMPHASIS IMAGE 审中-公开
标题翻译：内容识别来选择一个欣赏图像
公开(公告)号：WO2005052850A1
公开(公告)日：2005-06-09
申请号：PCT/US2004/036341
申请日：2004-11-01
申请人： EASTMAN KODAK COMPANY , RAY, Lawrence Allen
发明人： RAY, Lawrence Allen
IPC分类号： G06K9/00
CPC分类号： G06F17/30256
摘要： A method for selecting an emphasis image from a collection of images based on facial identification comprises the steps of: (a) obtaining a collection of digital images; (b) detecting image patterns indicative of the presence of one or more faces in the digital images, thereby identifying one or more detected faces for each image in which a face is detected; (c) recognizing one or more faces from the detected faces for each of the images in which a face is detected; and (d) scoring an image based on the relative frequency of occurrence of a recognized face within the collection of images, thereby producing an emphasis image characteristic of the most frequently occurring face in the collection of images.
摘要翻译：基于面部识别从图像集合中选择强调图像的方法包括以下步骤：（a）获得数字图像的集合; （b）检测指示数字图像中一个或多个面部的存在的图像图案，从而识别检测到脸部的每个图像的一个或多个检测到的面部; （c）从检测到的脸部识别出面部被检测到的每个图像的一个或多个面部; 以及（d）基于图像集合内识别的面部的出现的相对频率对图像进行评分，由此产生图像集合中最常出现的面部的强调图像特征。

6. 发明申请

WO2006078386A2 RADIATION THERAPY METHOD WITH TARGET DETECTION 审中-公开
标题翻译：具有目标检测的辐射治疗方法
公开(公告)号：WO2006078386A2
公开(公告)日：2006-07-27
申请号：PCT/US2005/045770
申请日：2005-12-16
申请人： EASTMAN KODAK COMPANY , SCHILDKRAUT, Jay Stewart , CAHILL, Nathan D. , DHURJATY, Sreeram , RAY, Lawrence Allen
发明人： SCHILDKRAUT, Jay Stewart , CAHILL, Nathan D. , DHURJATY, Sreeram , RAY, Lawrence Allen
IPC分类号： A61N5/10
CPC分类号： A61N5/1049 , A61N2005/1059 , A61N2005/1061 , A61N2005/1062

7. 发明申请

WO2007064465A1 DETECTING OBJECTS OF INTEREST IN DIGITAL IMAGES 审中-公开
标题翻译：检测数字图像中的兴趣对象
公开(公告)号：WO2007064465A1
公开(公告)日：2007-06-07
申请号：PCT/US2006/044162
申请日：2006-11-14
申请人： EASTMAN KODAK COMPANY , GALLAGHER, Andrew Charles , CAHILL, Nathan D. , FIELDING, Gabriel , RAY, Lawrence Allen
发明人： GALLAGHER, Andrew Charles , CAHILL, Nathan D. , FIELDING, Gabriel , RAY, Lawrence Allen
IPC分类号： G06K9/00
CPC分类号： G06K9/00664 , G06K9/00201 , H04N13/128
摘要： A method of detecting an object of interest having a known size in a digital image, includes providing a range information including two or more range values indicating the distance of objects in the scene from a known reference frame; detecting a candidate object of interest in the image; determining range values corresponding to the candidate object of interest and using these range values and the known size of the object of interest to classify the candidate object of interest.
摘要翻译：一种在数字图像中检测具有已知尺寸的感兴趣对象的方法，包括提供包括两个或更多个范围值的范围信息，所述范围值指示场景中的对象距已知参考帧; 检测图像中的感兴趣的候选对象; 确定与所述候选对象相对应的范围值，并使用所述范围值和所述感兴趣对象的已知大小对所述候选对象进行分类。

8. 发明申请

WO2008088475A1 METHOD FOR SEGMENTATION OF LESIONS 审中-公开
标题翻译：分割方法
公开(公告)号：WO2008088475A1
公开(公告)日：2008-07-24
申请号：PCT/US2007/024807
申请日：2007-12-03
申请人： CARESTREAM HEALTH, INC. , RAY, Lawrence Allen , SIMON, Richard A.
发明人： RAY, Lawrence Allen , SIMON, Richard A.
IPC分类号： G06T5/00 , G06T7/00
CPC分类号： G06T7/0012 , G06K9/4638 , G06K2209/05 , G06T7/11 , G06T2207/10072 , G06T2207/20101 , G06T2207/30061
摘要： A method of segmenting a lesion (910) from normal anatomy in a 3-dimensional image comprising the steps of: receiving an initial set of voxels (520) that are contained within the lesion to be segmented; growing a region which includes the lesion from the initial set of voxels; identifying a second set of voxels (530) on a surface of the normal anatomy; determining a surface containing the second set of voxels which demarks a boundary (540) between the lesion and the normal anatomy; and classifying voxels which are part of the lesion.
摘要翻译：一种在三维图像中从正常解剖学分割病变（910）的方法，包括以下步骤：接收包含在待分割的病变内的初始体素集（520）; 生长一个区域，其中包含来自初始体素集的病变; 识别正常解剖结构的表面上的第二组体素（530）; 确定包含第二组体素的表面，其破坏病变与正常解剖结构之间的边界（540）; 并对作为病变部分的体素进行分类。

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