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1. 发明授权

US09202140B2 Quotient appearance manifold mapping for image classification 有权
标题翻译：用于图像分类的商品外观流形图
公开(公告)号：US09202140B2
公开(公告)日：2015-12-01
申请号：US12502510
申请日：2009-07-14
申请人： Yoshihisa Shinagawa , Yuping Lin , Gerardo Hermosillo Valadez , Bing Jian
发明人： Yoshihisa Shinagawa , Yuping Lin , Gerardo Hermosillo Valadez , Bing Jian
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6252 , G06K9/6212 , G06T7/0012 , G06T2207/10072 , G06T2207/20081 , G06T2207/30032 , G06T2207/30064 , G06T2207/30068
摘要： Described herein is a technology for facilitating classification of an object. In one implementation, at least one quotient appearance manifold mapping is constructed from a sample image to untangle appearance fiber bundles. A feature characteristic of the sample image may then be extracted based on the quotient appearance manifold mapping. A classifier may further be trained based on the extracted feature, and adapted for associating the object with an object class.
摘要翻译：这里描述了一种便于对象分类的技术。在一个实施方式中，从样本图像到外观纤维束的解交织构造至少一个商显示歧管映射。然后可以基于商出口歧管映射来提取样本图像的特征。还可以基于提取的特征进一步训练分类器，并且适于将对象与对象类相关联。

2. 发明授权

US08817014B2 Image display of a tubular structure 有权
标题翻译：管状结构的图像显示
公开(公告)号：US08817014B2
公开(公告)日：2014-08-26
申请号：US12952325
申请日：2010-11-23
申请人： Yoshihisa Shinagawa
发明人： Yoshihisa Shinagawa
IPC分类号： G06T15/00 , G06T15/08 , G06T3/00
CPC分类号： G06T15/08 , G06T3/0031 , G06T2215/06
摘要： Described herein is a technology for facilitating visualization of a tubular structure. Digitized image data of the tubular structure is received and processed to determine a centerline. A first transformation operation is performed on a first set of coordinates representing the tubular structure to generate a transformed tubular structure with a straight centerline. A second transformation operation is then performed locally on a second set of coordinates representing at least one fold of the transformed tubular structure to generate a transformed fold, which is perpendicular to the centerline.
摘要翻译：这里描述的是用于促进管状结构的可视化的技术。接收并处理管状结构的数字化图像数据以确定中心线。对代表管状结构的第一组坐标执行第一变换操作以产生具有直的中心线的变换的管状结构。然后在代表变换的管状结构的至少一个折叠的第二组坐标上局部执行第二变换操作，以产生垂直于中心线的变换折叠。

3. 发明授权

US08524824B2 Resin composition 有权
标题翻译：树脂组成
公开(公告)号：US08524824B2
公开(公告)日：2013-09-03
申请号：US12309807
申请日：2007-07-30
申请人： Takuya Tomoda , Yoshihisa Shinagawa , Shinichi Soda
发明人： Takuya Tomoda , Yoshihisa Shinagawa , Shinichi Soda
IPC分类号： C08L69/00 , C08K3/34 , C08K5/42 , C08K7/00
CPC分类号： C08L69/00 , C08K3/013 , C08K5/42 , C08L25/14 , C08L27/18 , C08L2666/04
摘要： To provide a resin composition comprising an aromatic polycarbonate resin and having excellent appearance, impact strength, thermal stability, hydrolysis resistance, and flame retardancy.The present invention relates to a resin composition comprising (A) 75 to 99.98 wt % of an aromatic polycarbonate resin (component A), (B) 0.01 to 5 wt % of a mixture of polytetrafluoroethylene particles and an organic polymer (component B) and (C) 0.01 to 20 wt % of a flame retardant (component C), wherein the sodium metal ion content of the component B (excluding sodium metal ion contained in the polytetrafluoroethylene particles) is 10 ppm or less, and molded articles therefrom.
摘要翻译：提供包含芳族聚碳酸酯树脂并具有优异的外观，冲击强度，热稳定性，耐水解性和阻燃性的树脂组合物。本发明涉及一种树脂组合物，其含有（A）75〜99.98重量％的芳香族聚碳酸酯树脂（A成分），（B）0.01〜5重量％的聚四氟乙烯粒子和有机聚合物（B成分）的混合物，（C）0.01〜20重量％的阻燃剂（C成分），其中，成分B（不包含聚四氟乙烯粒子中的钠金属离子除外）的钠金属离子含量为10ppm以下，成型品为。

4. 发明授权

US08331636B2 Automatic calibration of computer aided diagnosis based on retrospective examination 有权
标题翻译：基于回顾性检查的计算机辅助诊断的自动校准
公开(公告)号：US08331636B2
公开(公告)日：2012-12-11
申请号：US12204870
申请日：2008-09-05
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00
CPC分类号： G06T7/0012
摘要： A method for automatic detection of lesions within a medical image include acquiring medical image data. Regions of suspicion are automatically identified within the medical image data. It is automatically determined whether each identified region of suspicion is of a benign state, is of a suspicious state that requires a biopsy, or is of an indeterminate state that requires subsequent imaging after a particular length of time. When an identified region of suspicion is determined to be of an indeterminate state, the determination is automatically reconsidered in light of a calibration factor that biases the automatic determination towards either a benign state or a suspicious state. The calibration factor may be based on data collected from follow-up examinations that reveal whether a lesion previously characterized as indeterminate was actually a benign or malignant lesion or on additional diagnostic information including prior image data or non-image data.
摘要翻译：用于自动检测医学图像内的病变的方法包括获取医学图像数据。怀疑区域在医学图像数据内自动识别。自动确定每个识别的怀疑区域是否处于良性状态，是需要活组织检查的可疑状态，或者是在特定时间长度之后需要后续成像的不确定状态。当识别出的怀疑区域被确定为不确定状态时，根据将自动判定偏向良性状态或可疑状态的校准因素自动重新确定该确定。校准因子可以基于从随访检查中收集的数据，其揭示先前特征为不确定性的病变实际上是良性或恶性病变，还是包括先前图像数据或非图像数据的附加诊断信息。

5. 发明授权

US08160344B2 Iterative segmentation of images for computer-aided detection 有权
标题翻译：用于计算机辅助检测的图像的迭代分割
公开(公告)号：US08160344B2
公开(公告)日：2012-04-17
申请号：US12424031
申请日：2009-04-15
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez , Bing Jian
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez , Bing Jian
IPC分类号： G06K9/00
CPC分类号： G06T7/11 , G06T7/187 , G06T2207/10096 , G06T2207/30096
摘要： A method and system for facilitating computer-aided detection (CAD) in which, in one implementation, image data is received (302) and iterations of an iterative segmentation process is performed on the image data. Each iterative segmentation process may include ascertaining whether a segment is normal (304), removing the segment from the image if ascertained to be normal (308) and transforming the shape of the segment (310). The iterative segmentation process may be stopped if a stop condition is met (312).
摘要翻译：一种用于促进计算机辅助检测（CAD）的方法和系统，其中在一个实现中接收图像数据（302）并且对图像数据执行迭代分段处理的迭代。每个迭代分割过程可以包括确定段是否正常（304），如果被确定为正常（308），则从图像中去除段，并且变换段（310）的形状。如果满足停止条件，则可以停止迭代分段处理（312）。

6. 发明授权

US08144953B2 Multi-scale analysis of signal enhancement in breast MRI 有权
标题翻译：乳腺MRI信号增强的多尺度分析
公开(公告)号：US08144953B2
公开(公告)日：2012-03-27
申请号：US12206804
申请日：2008-09-09
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00
CPC分类号： G01R33/5601 , G01R33/5608 , G06K9/4609 , G06K2209/05 , G06T5/50 , G06T7/0012 , G06T7/11 , G06T7/174 , G06T2207/10088 , G06T2207/20224 , G06T2207/30068 , G06T2207/30096
摘要： A method for computer assisted lesion detection in magnetic resonance (MR) images includes acquiring dynamic contrast enhanced (DCE) MR images. The images are processed to produce a subtraction image illustrating change in voxel enhancement between the images. A Gaussian low-pass filter is applied to the subtraction image. An elimination mask is created from the filtered subtraction image by removing voxels with enhancement values below a threshold value. The elimination mask is used to remove noise from the subtraction image. One or more regions of suspicion are automatically detected from the noise-removed subtraction image. To produce the subtraction image, DCE-MR images are divided into first and second sub-sets. Positive-signed enhancement values of voxels of the MR images from the first sub-set are added to a combined subtraction image along with absolute values of all enhancement values of voxels of the MR images from the second sub-set.
摘要翻译：用于磁共振（MR）图像中计算机辅助病变检测的方法包括采集动态对比度增强（DCE）MR图像。图像被处理以产生减影图像，说明图像之间的体素增强的变化。将高斯低通滤波器应用于减法图像。通过去除具有低于阈值的增强值的体素，从滤波的减法图像创建消除掩模。消除掩模用于从减影图像中去除噪声。从噪声消除的减影图像中自动检测一个或多个怀疑区域。为了产生减法图像，DCE-MR图像被分成第一和第二子集。来自第一子集的MR图像的体素的正号增强值与来自第二子集的MR图像的体素的所有增强值的绝对值相加到组合减影图像。

7. 发明授权

US08135188B2 Efficient features for shape analysis of lesions in breast MR 有权
标题翻译：乳腺MR病变形状分析的有效特征
公开(公告)号：US08135188B2
公开(公告)日：2012-03-13
申请号：US12204953
申请日：2008-09-05
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/469 , G06T2207/10088 , G06T2207/20072 , G06T2207/30068
摘要： A method for analyzing a shape of a region of interest in a medical image of a body part, including: finding a region of interest in the medical image; calculating a Reeb graph of the region of interest, and determining whether the region of interest is a malignant lesion candidate based on a shape characteristic of the Reeb graph.
摘要翻译：一种用于分析身体部位的医学图像中的感兴趣区域的形状的方法，包括：找到医学图像中的感兴趣区域; 计算感兴趣区域的Reeb图，并且基于Reeb图的形状特征来确定感兴趣区域是否是恶性病变候选。

8. 发明申请

US20110064288A1 Systems and Methods for Computer-aided Fold Detection 有权
标题翻译：计算机辅助折叠检测系统与方法
公开(公告)号：US20110064288A1
公开(公告)日：2011-03-17
申请号：US12879038
申请日：2010-09-10
申请人： Yoshihisa Shinagawa
发明人： Yoshihisa Shinagawa
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06T7/0012 , G06K2209/053 , G06T7/187 , G06T2207/10072 , G06T2207/30032
摘要： Described herein is a computer-aided technology for facilitating detection of folds of an object surface. In one implementation, image data is processed to determine curvature characteristics at one or more points of the surface of a region of interest. If the curvature characteristics of one of the one or more points correspond to a hyperbolic curvature, the point is identified as a seed point. A region of a predetermined thickness is grown around the seed point so as to detect the presence of any fold feature within the grown region.
摘要翻译：这里描述的是用于便于检测物体表面的褶皱的计算机辅助技术。在一个实现中，处理图像数据以确定感兴趣区域的表面的一个或多个点处的曲率特性。如果一个或多个点中的一个的曲率特性对应于双曲线曲率，则该点被识别为种子点。在种子点周围生长预定厚度的区域，以便检测生长区域内是否存在任何折叠特征。

9. 发明申请

US20100166276A1 PROBABILISTIC SEGMENTATION IN COMPUTER-AIDED DETECTION 有权
标题翻译：计算机辅助检测中的概率分类
公开(公告)号：US20100166276A1
公开(公告)日：2010-07-01
申请号：US12555799
申请日：2009-09-08
申请人： Shishir Dube , Gerardo Hermosillo Valadez , Sarang Lakare , Yoshihisa Shinagawa
发明人： Shishir Dube , Gerardo Hermosillo Valadez , Sarang Lakare , Yoshihisa Shinagawa
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/342 , G06T5/002 , G06T5/40 , G06T7/11 , G06T7/187 , G06T2207/30068
摘要： Described herein is a method and system for facilitating segmentation of images. A difference image is received and processed to extract at least one histogram (402). A noise component is determined by fitting a symmetric Gaussian distribution to the extracted histogram such that the negative portion of the Gaussian distribution coincides with the negative portion of the histogram (403). The noise component is then subtracted from the histogram to generate a probability distribution function (404), which may be converted to a cumulative distribution function (406) and applied to the difference image to generate a probabilistic representation of contrast enhancement (408).
摘要翻译：这里描述了一种便于图像分割的方法和系统。差分图像被接收和处理以提取至少一个直方图（402）。通过将对称高斯分布拟合到所提取的直方图来确定噪声分量，使得高斯分布的负部分与直方图（403）的负部分重合。然后从直方图中减去噪声分量以产生概率分布函数（404），该概率分布函数可被转换为累积分布函数（406）并应用于差分图像以生成对比度增强的概率表示（408）。

10. 发明申请

US20100111392A1 SYSTEM AND METHOD FOR AUTOMATICALLY CLASSIFYING REGIONS-OF-INTEREST 有权
标题翻译：用于自动分类区域的系统和方法
公开(公告)号：US20100111392A1
公开(公告)日：2010-05-06
申请号：US12549381
申请日：2009-08-28
申请人： Gerardo Hermosillo VALADEZ , Bing Jian , Yoshihisa Shinagawa
发明人： Gerardo Hermosillo VALADEZ , Bing Jian , Yoshihisa Shinagawa
IPC分类号： G06K9/00
CPC分类号： G06K9/3233 , G06T7/0012 , G06T2207/10096 , G06T2207/20104 , G06T2207/30068
摘要： Described herein is a method and system for facilitating automatic classification of regions-of-interest (ROIs). Contrast enhanced image data may be received (202) and processed to generate at least one texture value of at least one ROI in the image data (204). The ROI may be automatically classified as either a mass or a non-mass like enhancement (NMLE) based on the texture value (e.g., bumpiness) (208).
摘要翻译：这里描述的是用于促进兴趣区域（ROI）的自动分类的方法和系统。对象增强图像数据可以被接收（202）并被处理以在图像数据（204）中生成至少一个ROI的至少一个纹理值。基于纹理值（例如，颠簸），ROI可以被自动分类为质量或非质量像增强（NMLE）（208）。

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