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31.发明申请公开(公告)号：US20100183210A1
公开(公告)日：2010-07-22
申请号：US12357545
申请日：2009-01-22
IPC分类号： G06K9/00
CPC分类号： G06K9/46 , G06K2209/053 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/20036 , G06T2207/30032
摘要： The application discloses computer-based apparatus and methods for analysis of images of the colon to assist in the detection of colonic polyps. The apparatus and methods include the classification of anomalies which are suspected colonic polyps by morphological types, and the use of information about the morphological type to assist in the determination of whether the anomaly is a polyp.
摘要翻译： 本申请公开了用于分析结肠图像的基于计算机的装置和方法，以帮助检测结肠息肉。 该装置和方法包括通过形态类型对疑似结肠息肉的异常进行分类，以及使用关于形态类型的信息来帮助确定异常是否是息肉。
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32.发明申请COMPUTER-AIDED DETECTION AND DISPLAY OF COLONIC RESIDUE IN MEDICAL IMAGERY OF THE COLON 有权计算机辅助检测和显示在殖民地医学图像中的残留公开(公告)号：US20100021026A1
公开(公告)日：2010-01-28
申请号：US12179787
申请日：2008-07-25
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/053
摘要： Methods and systems are presented that improve a radiologist's ability to identify polyps by automatically and more accurately detecting and displaying colonic residue such as tagged or untagged stool or colonic fluid in medical images of the colorectal region. A virtual colonography imaging system obtains medical imagery of the colon. Improved computer-aided detection (CAD) algorithms identify colonic residue in the imagery by calculating feature vectors of and using statistical classification methods to classify regions of colonic residue to distinguish them from false positives.
摘要翻译： 提出了通过自动更准确地检测和显示结肠直肠区域的医学图像中的标记或未标记的粪便或结肠液的结肠残留物来改善放射科医师识别息肉的能力的方法和系统。 虚拟结肠成像系统获得结肠的医学图像。 改进的计算机辅助检测（CAD）算法通过计算特征向量并使用统计分类方法对结肠残留区域进行分类，从而将其与假阳性区分开来，从而识别图像中的结肠残留。
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公开(公告)号：US20080080771A1
公开(公告)日：2008-04-03
申请号：US11877781
申请日：2007-10-24
申请人： Senthil Periaswamy
发明人： Senthil Periaswamy
IPC分类号： G06K9/46
CPC分类号： G06T7/0012 , G06T2207/30028
摘要： A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.
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34.发明申请公开(公告)号：US20080049973A1
公开(公告)日：2008-02-28
申请号：US11841144
申请日：2007-08-20
IPC分类号： G06K9/00
CPC分类号： G06K9/4609 , G06T7/11 , G06T7/136 , G06T2207/20016
摘要： A method for determining a blob-like structure in a target image includes receiving an input target image is received, determining a mean curvature of the input target image, smoothing the mean curvature is smoothed using a scale that determines a size of the blobs to be found, finding a blob-like structure in the input target image as a portion of the input target image where a smoothed curvature is higher than a threshold value, and outputting a result including an indication of the blob-like structure.
摘要翻译： 一种用于确定目标图像中的斑点状结构的方法，包括：接收输入目标图像，确定输入目标图像的平均曲率，使用确定斑点大小的比例来平滑平均曲率 发现，在输入目标图像中找到像平滑曲率高于阈值的输入目标图像的一部分的类似Blob的结构，并输出包括斑点状结构的指示的结果。
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35.发明申请System and method for toboggan based object segmentation using divergent gradient field response in images 有权用于基于图像中发散梯度场响应的滑冰基对象分割的系统和方法公开(公告)号：US20050185838A1
公开(公告)日：2005-08-25
申请号：US11062411
申请日：2005-02-22
申请人： Luca Bogoni , Jianming Liang , Senthil Periaswamy
发明人： Luca Bogoni , Jianming Liang , Senthil Periaswamy
CPC分类号： G06K9/44 , G06K9/342 , G06T7/11 , G06T7/155 , G06T2207/10072 , G06T2207/20152 , G06T2207/30032
摘要： A method and device for segmenting one or more candidates in an image having image elements is disclosed. The method includes identifying a location for one of the candidates in the image, where the location is based at a given image element, and computing one or more response values at neighboring image elements that are in a neighborhood of the location. Image element clusters are created from the computed response values and one or more of the image element clusters are selected as object segmentations for one or more of the candidates.
摘要翻译： 公开了一种用于在具有图像元素的图像中分割一个或多个候选的方法和装置。 该方法包括识别图像中的候选者之一的位置，其中位置基于给定图像元素，以及计算位于该位置附近的相邻图像元素处的一个或多个响应值。 从计算的响应值创建图像元素簇，并且将一个或多个图像元素簇选择为一个或多个候选的对象分割。
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公开(公告)号：US20050105801A1
公开(公告)日：2005-05-19
申请号：US10915077
申请日：2004-08-10
申请人： Senthil Periaswamy
发明人： Senthil Periaswamy
CPC分类号： G06T7/0012 , G06T2207/30028
摘要： A method of identifying colon polyps in a digital volume, wherein the volume includes a plurality of values corresponding to a domain of points in a 3D space, is provided. The method includes selecting a mother wavelet scaling function that corresponds to a polyp; performing a forward wavelet transformation on the volume to obtain a set of wavelet coefficients, wherein each wavelet coefficient is associated with a length scale; determining, for each length scale, a transformation magnitude; and forming, for each length scale, a transformed set of wavelet coefficients associated with the length scale. An inverse wavelet transform is performed on the transformed wavelet coefficients for each length scale to obtain a reconstructed volume, and the reconstructed volume is analyzed for the existence of polyps.
摘要翻译： 提供一种识别数字体积中的结肠息肉的方法，其中所述体积包括对应于3D空间中的点的域的多个值。 该方法包括选择对应于息肉的母体小波缩放函数; 对体积执行正向小波变换以获得一组小波系数，其中每个小波系数与长度尺度相关联; 对于每个长度尺度，确定变换幅度; 并且对于每个长度尺度，形成与长度尺度相关联的变换的小波系数集合。 对每个长度尺度的变换小波系数执行逆小波变换以获得重建的体积，并且分析重建的体积是否存在息肉。
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