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公开(公告)号：US07263243B2
公开(公告)日：2007-08-28
申请号：US10747594
申请日：2003-12-29
CPC分类号： G06K9/6212
摘要： A digital image processing method for image registration, that acquires a reference intensity image and a floating intensity image that is to be registered; and preprocesses the reference and the floating images, before converting the preprocessed reference image to a vectorized reference image. Subsequently, the vectorized reference image is converted to a reference index image. Additional image processing includes spatially transforming the preprocessed floating image using a transformation matrix; converting the transformed floating image to a vectorized floating image; converting the vectorized floating image to a floating index image; and obtaining joint statistics of the index images. Other steps include, computing a cost function due to misalignment of the two images using the joint statistics; and updating the transformation matrix and repeating several aforementioned steps, if the cost function does not satisfy a predefined criterion, otherwise, applying the transformation matrix to an acquired floating intensity image.
摘要翻译： 一种用于图像配准的数字图像处理方法，其获取要登记的参考强度图像和浮动强度图像; 并在将预处理参考图像转换为矢量化参考图像之前，预处理参考和浮动图像。 随后，将矢量化参考图像转换为参考索引图像。 附加图像处理包括使用变换矩阵对预处理的浮动图像进行空间变换; 将变换的浮动图像转换为矢量化的浮动图像; 将矢量化浮动图像转换为浮动索引图像; 并获得索引图像的联合统计。 其他步骤包括：使用联合统计计算两个图像的未对准的成本函数; 并且如果所述成本函数不满足预定标准，则更新所述变换矩阵并重复若干上述步骤，否则，将所述变换矩阵应用于所获取的浮动强度图像。
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公开(公告)号：US07042974B2
公开(公告)日：2006-05-09
申请号：US10850490
申请日：2004-05-20
IPC分类号： A61B6/03
CPC分类号： G06T11/006 , G06T2211/424 , G06T2211/436 , Y10S378/901
摘要： A method for reconstructing computerized tomographic (CT) images of an object, including: scanning the object with a CT imaging system to acquire views that include measured projections of the object. Additionally, the method applies an iterative algorithm to minimize errors between the measured projections and reprojections of a reconstructed CT image, wherein at each iteration, projection errors become smaller causing the reconstructed CT image to become further refined.
摘要翻译： 一种用于重建对象的计算机断层摄影（CT）图像的方法，包括：用CT成像系统扫描对象以获取包括物体的测量投影的视图。 另外，该方法应用迭代算法来最小化重建的CT图像的测量的投影和重映射之间的误差，其中在每次迭代时，投影误差变小，导致重建的CT图像进一步改进。
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公开(公告)号：US07706617B2
公开(公告)日：2010-04-27
申请号：US11097932
申请日：2005-03-30
IPC分类号： G06K9/00
CPC分类号： G06K9/6218 , G06F17/3079 , G06F17/30849 , G06F17/30858 , G06F19/321 , G06K2209/05 , G11B27/28
摘要： An image indexer for indexing a plurality of images that includes a first data structure for subsequent classification of the one or more images. The first data structure includes characteristics for at least one class. An image classifier classifies one or more individual images found in the plurality of images as classified images according to the first data structure. A second data structure performs subsequent clustering of the plurality of images, wherein the second data structure includes at least two sequential events in a set of known events. The classified images are clustered according to the second data structure, and a representative image is selected from each cluster of classified images.
摘要翻译： 一种图像索引器，用于索引包括用于所述一个或多个图像的后续分类的第一数据结构的多个图像。 第一数据结构包括至少一个类的特征。 图像分类器根据第一数据结构将在多个图像中发现的一个或多个单独图像分类为分类图像。 第二数据结构执行多个图像的后续聚类，其中第二数据结构包括一组已知事件中的至少两个顺序事件。 分类图像根据第二数据结构聚类，并且从分类图像的每个簇中选择代表图像。
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4.发明授权System and method for classifying in vivo images according to anatomical structure 有权根据解剖结构对体内图像进行分类的系统和方法公开(公告)号：US07623690B2
公开(公告)日：2009-11-24
申请号：US10812785
申请日：2004-03-30
CPC分类号： G06F17/30247 , G06F19/321 , G06K9/209 , G06K2209/051 , G06K2209/27 , G06T7/70 , G06T2207/30028 , G16H50/20
摘要： A system for identifying anatomical structure depicted in an in vivo image, that includes an examination bundlette having a captured in vivo image; and a gastrointestinal atlas that includes a list of individual anatomical structures and characterization data of the individual anatomical structures. A classification engine analyzes the examination bundlette and the gastrointestinal atlas to identify the anatomical structure depicted in the captured in vivo image.
摘要翻译： 一种用于识别在体内图像中描绘的解剖结构的系统，其包括具有捕获的体内图像的检查束带; 以及包括个体解剖结构和个体解剖结构的表征数据的列表的胃肠图谱。 分类引擎分析检查小组和胃肠图谱以鉴定捕获的体内图像中描绘的解剖结构。
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5.发明授权Method and system for multiple passes diagnostic alignment for in vivo images 有权用于体内图像的多次通过诊断对准的方法和系统公开(公告)号：US07319781B2
公开(公告)日：2008-01-15
申请号：US10679712
申请日：2003-10-06
CPC分类号： A61B1/041 , A61B1/00009 , A61B1/00016 , A61B1/00045 , A61B1/00055 , A61B1/042 , A61B1/273 , A61B5/073 , A61B5/14539 , G06F19/00 , G06T7/30 , G06T2207/30004 , H04N7/188
摘要： A digital image processing method for multiple passes diagnostic alignment of in vivo images, comprising the steps of: acquiring images using an in vivo video camera system; forming an in vivo video camera system examination bundlette; transmitting the examination bundlette to proximal in vitro computing device(s); processing the transmitted examination bundlette; automatically identifying abnormalities in the transmitted examination bundlette; and setting off alarm signals to a local site provided that suspected abnormalities have been identified for each pass forming a registration bundle; selecting identification elements of an image from the registration bundle of one pass; and retrieving corresponding images from another pass.
摘要翻译： 一种用于多次通过体内图像的诊断对准的数字图像处理方法，包括以下步骤：使用体内摄像系统获取图像; 形成体内摄像机系统检查小册子; 将检查小捆传输到近端体外计算设备; 处理传送的检查单 自动识别传送的检查单中的异常; 并将报警信号发送到当地站点，只要已经识别出每次通过形成注册包的异常情况; 从一次通过的注册束中选择图像的识别元素; 并从另一个通过中检索相应的图像。
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