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101. 发明申请

US20150339817A1 ENDOSCOPE IMAGE PROCESSING DEVICE, ENDOSCOPE APPARATUS, IMAGE PROCESSING METHOD, AND INFORMATION STORAGE DEVICE 审中-公开
标题翻译：内窥镜图像处理装置，内窥镜装置，图像处理方法和信息存储装置
公开(公告)号：US20150339817A1
公开(公告)日：2015-11-26
申请号：US14813618
申请日：2015-07-30
申请人： OLYMPUS CORPORATION
发明人： Naoya KURIYAMA
IPC分类号： G06T7/00 , G06K9/46 , G06K9/62 , G01B11/14 , G06K9/52 , A61B1/04 , G06T5/00
CPC分类号： G06T7/0012 , A61B1/00009 , A61B1/04 , A61B1/05 , A61B1/07 , G01B11/14 , G06K9/46 , G06K9/4604 , G06K9/4652 , G06K9/468 , G06K9/52 , G06K9/6215 , G06K9/6267 , G06K9/627 , G06K2009/4666 , G06K2209/053 , G06K2209/057 , G06T1/0007 , G06T5/00 , G06T5/001 , G06T7/64 , G06T2207/10024 , G06T2207/10028 , G06T2207/10068 , G06T2207/30028 , G06T2207/30092
摘要： An endoscope image processing device includes an image acquisition section, a distance information acquisition section, a concavity-convexity determination section that performs a concavity-convexity determination process that determines a concavity-convexity part of an object that agrees with characteristics specified by known characteristic information based on distance information and the known characteristic information that represents known characteristics relating to a structure of the object, a mucous membrane determination section that determines a mucous membrane area within the captured image, and an enhancement processing section that performs an enhancement process on the mucous membrane area based on information about the concavity-convexity part determined by the concavity-convexity determination process. The concavity-convexity determination section excludes a structure that is more global than a local concavity-convexity structure having a desired size from the distance information based on the known characteristic information to extract the local concavity-convexity structure having the desired size as the concavity-convexity part.
摘要翻译：一种内窥镜图像处理装置，包括图像获取部，距离信息获取部，凹凸判定部，其进行凹凸判定处理，所述凹凸判定部确定与已知特征信息所规定的特性相一致的物体的凹凸部基于距离信息和表示与所述对象的结构有关的已知特征的已知特征信息，确定所述捕获图像内的粘膜面积的粘膜判定部，以及对所述粘液进行增强处理的增强处理部基于通过凹凸确定处理确定的凹凸部的信息的膜面积。凹凸确定部根据已知特征信息，从距离信息中排除比具有期望尺寸的局部凹凸结构更全局的结构，将具有期望尺寸的局部凹凸结构提取为凹凸形状，凸度部分

102. 发明授权

US08935099B2 Method and system for identifying, assessing, and managing cancer growth rates and potential metastasis 有权
标题翻译：确定，评估和管理癌症生长率和潜在转移的方法和系统
公开(公告)号：US08935099B2
公开(公告)日：2015-01-13
申请号：US13623098
申请日：2012-09-19
申请人： Varian Medical Systems, Inc.
发明人： Larry Partain , Mingshan Sun , Edward J. Seppi , Raisa Pavlyuchkova , Arundhuti Ganguly , Stavros Prionas , James E. Clayton
IPC分类号： G01N33/00 , G06F19/00 , G06K9/62 , G01N33/50
CPC分类号： G06F19/3431 , G06F19/00 , G06K9/6277 , G06K2209/053 , G16H50/30
摘要： Techniques described herein generally relate to identifying, assessing, and managing cancer growth rates and potential metastasis. Some example methods may include constructing one or more quantitative metrics for the potential metastasis in a selected population of other patients, acquiring a first set of numeric biomarker data for the patient before having placed a biomarker in the patient, acquiring a second set of numeric biomarker data for the patient after having placed the biomarker in the patient, determining a set of biomarker surrogate values for microvessel density information based on a mean numeric biomarker difference derived from the first set of numeric biomarker data and the second set of numeric biomarker data, determining a set of biomarker surrogate values for microvessel density information based on a mean numeric biomarker difference derived from the first set of numeric biomarker data and the second set of numeric biomarker data, and predicting quantitative and objective risk for the cancer growth rates and potential metastasis and adjusting a treatment plan based on the biomarker surrogate values and at least one of the one or more quantitative metrics.
摘要翻译：本文描述的技术通常涉及鉴定，评估和管理癌症生长速度和潜在转移。一些示例性方法可以包括为所选择的其他患者群体中的潜在转移构建一个或多个定量度量，在将患者的生物标志物置于患者体内之前获取患者的第一组数值生物标志物数据，获取第二组数值生物标志物基于从第一组数字生物标志物数据和第二组数值生物标志物数据导出的平均数值生物标志物差异，确定用于微血管密度信息的生物标记替代值的集合，确定患者的数据;确定基于从第一组数值生物标志物数据和第二组数值生物标志物数据得出的平均数值生物标志物差异的微血管密度信息的一组生物标志物替代值，并预测癌症生长速率和潜在转移的定量和客观风险，以及根据生物标志物代理调整治疗计划值和至少一个一个或多个定量度量。

103. 发明申请

US20140270429A1 Parallelized Tree-Based Pattern Recognition for Tissue Characterization 审中-公开
标题翻译：用于组织表征的并行化基于树的模式识别
公开(公告)号：US20140270429A1
公开(公告)日：2014-09-18
申请号：US14209915
申请日：2014-03-13
申请人： Volcano Corporation
发明人： Anuja Nair , Russell J. Fedewa , Miklos Z. Kiss
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06K9/6293 , G06K2009/00932 , G06K2209/053 , G06T7/11 , G06T7/162 , G06T2207/10068 , G06T2207/20076 , G06T2207/30101
摘要： Systems and methods for tissue characterization using multiple independent pattern recognition models are provided. Some embodiments are particularly directed to analyzing medical imaging data. In one embodiment, a method includes receiving a set of medical imaging data and receiving a set of independent tissue characterization models. Each of the set of independent tissue characterization models is applied to the set of medical imaging data in order to obtain a plurality of interim classification results. An arbitration of the plurality of interim classification results is performed to determine a constituent tissue for the set of medical imaging data. The determined constituent tissue may be displayed in combination with a graphical representation of the set of medical imaging data. Each of the set of independent tissue characterization models may be applied to the set of medical imaging data in parallel.
摘要翻译：提供了使用多个独立模式识别模型进行组织表征的系统和方法。一些实施例特别涉及分析医学成像数据。在一个实施例中，一种方法包括接收一组医学成像数据并接收一组独立的组织表征模型。将这组独立组织表征模型中的每一个应用于一组医学成像数据，以获得多个临时分类结果。执行多个临时分类结果的仲裁以确定该组医学成像数据的组成组织。所确定的组成组织可以与该组医学成像数据的图形表示组合显示。该组独立组织表征模型中的每一个可以并行地应用于该组医学成像数据。

104. 发明授权

US08798345B2 Diagnosis processing device, diagnosis processing system, diagnosis processing method, diagnosis processing program and computer-readable recording medium, and classification processing device 有权
标题翻译：诊断处理装置，诊断处理系统，诊断处理方法，诊断处理程序和计算机可读记录介质以及分类处理装置
公开(公告)号：US08798345B2
公开(公告)日：2014-08-05
申请号：US13496391
申请日：2010-08-16
申请人： Takahiro Sasaki , Satoru Kishida , Kentaro Kinoshita
发明人： Takahiro Sasaki , Satoru Kishida , Kentaro Kinoshita
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06T7/0012 , G06F19/00 , G06K2209/053 , G06T2207/10116 , G06T2207/20084 , G06T2207/30064 , G16H50/20
摘要： A diagnosis processing device is provided in which diagnosis is realizable by a simple arrangement. A diagnosis processing device (1) of the present invention includes: a learning pattern creating section (10a) for creating a learning pattern by sampling data from a learning image in which abnormality information indicating a substantive feature of abnormality of a target is pre-known; a learning processing section (12) for causing a neural network (17) to learn, by using learning patterns; a diagnostic pattern creating section (10b) for creating a diagnostic pattern by sampling data from a diagnostic image in which abnormality information is unknown; a determination processing section (18) for determining a substantive feature of the abnormality of the target indicated in the abnormality information in the diagnostic image, based on an output value outputted, in response to an input of the diagnostic pattern, from a learned neural network (17) which is a neural network subjected to learning.
摘要翻译：提供一种诊断处理装置，其中可以通过简单的布置来实现诊断。本发明的诊断处理装置（1）包括：学习图案生成部（10a），用于通过从表示目标的异常的实质特征的异常信息是已知的学习图像进行采样来创建学习模式 ; 学习处理部（12），用于使神经网络（17）通过使用学习模式学习; 诊断图案生成部（10b），用于通过从异常信息未知的诊断图像中取样数据来生成诊断图案; 确定处理部（18），用于基于从所述诊断图案的输入而输出的输出值，从所学习的神经网络中确定所述诊断图像中的异常信息中指示的所述目标的异常的实质特征（17），它是受到学习的神经网络。

105. 发明授权

US08744157B2 System and method for candidate generation and new features designed for the detection of flat growths 有权
标题翻译：候选人生成的系统和方法以及为检测平面增长而设计的新功能
公开(公告)号：US08744157B2
公开(公告)日：2014-06-03
申请号：US12777595
申请日：2010-05-11
申请人： Gerardo Hermosillo Valadez
发明人： Gerardo Hermosillo Valadez
IPC分类号： G06K9/00 , G06T7/40 , G06T7/00 , G06K9/46
CPC分类号： G06T7/0012 , G06K9/4609 , G06K2209/053 , G06T7/44 , G06T2207/10081 , G06T2207/10088 , G06T2207/30032
摘要： A method for generating candidates from a digital image includes considering at least one point x that may lie on a polypoid structure, determining whether the point x satisfies a first predetermined set of conditions, for each point x that satisfies the predetermined set of conditions, identifying each neighbor point y within a predetermined distance of point x that satisfies a second predetermined set of conditions, determining a gradient vector v1 for point x and identifying a first half-line to which the gradient vector v1 belongs, determining a gradient vector v2 for point y and identifying a second half-line to which the gradient vector v2 belongs, calculating an intersection score that represents how close the first and second half-lines come to intersecting, and identifying point x as a candidate when a candidate score is greater than a predetermined value, wherein the candidate score is the sum of intersection scores for all neighbor points y.
摘要翻译：一种用于从数字图像生成候选的方法包括考虑至少一个可能位于息肉样结构上的点x，确定点x是否满足第一预定条件集合，对于满足预定条件集合的每个点x，识别在点x的预定距离内的每个相邻点y满足第二预定条件集合，确定点x的梯度矢量v1并识别梯度矢量v1所属的第一半行，确定点的梯度矢量v2 y，并且识别梯度矢量v2所属的第二半行，计算表示第一和第二半行相交多近的交叉分数，以及当候选分数大于一个候选分数时，将点x识别为候选预定值，其中候选分数是所有相邻点y的交叉分数之和。

106. 发明申请

US20140028821A1 IMAGE PROCESSING APPARATUS 有权
标题翻译：图像处理设备
公开(公告)号：US20140028821A1
公开(公告)日：2014-01-30
申请号：US13955594
申请日：2013-07-31
申请人： OLYMPUS MEDICAL SYSTEMS CORP.
发明人： Kenichi TANAKA , Hirokazu NISHIMURA
IPC分类号： A61B1/04
CPC分类号： A61B1/04 , A61B1/00009 , A61B1/0002 , A61B1/05 , A61B1/0669 , G06K2209/053 , G06T7/0012 , G06T2207/10024 , G06T2207/10068 , G06T2207/20081 , G06T2207/30096
摘要： An image processing apparatus is provided with: a first feature value calculating section calculating a first feature value for each of pixels constituting an image obtained by picking up an image of a subject; a region dividing section dividing the image into multiple regions on the basis of the first feature values; a second feature value calculating section calculating a second feature value for each of the divided regions; a classification section performing classification with regard to which of multiple kinds of attributes each region of the multiple regions has, on the basis of the second feature value; a judgment section judging whether a region having a predetermined attribute exists or not; and a diagnostic support information calculating section correcting an attribute value of the region having the predetermined attribute to calculate diagnostic support information for supporting a diagnosis.
摘要翻译：一种图像处理装置具有：第一特征值计算部，计算构成通过拍摄对象的图像而获得的图像的每个像素的第一特征值; 区域划分部分，基于第一特征值将图像划分成多个区域; 第二特征值计算部分，用于计算每个分割区域的第二特征值; 基于第二特征值对多个区域中的每个区域的多种属性中的哪一种执行分类的分类部分; 判断部分是否存在具有预定属性的区域; 以及诊断支持信息计算部，其校正具有预定属性的区域的属性值，以计算用于支持诊断的诊断支持信息。

107. 发明申请

US20130343628A1 Methods and devices for labeling and/or matching 有权
标题翻译：用于标签和/或匹配的方法和设备
公开(公告)号：US20130343628A1
公开(公告)日：2013-12-26
申请号：US13987683
申请日：2013-08-21
申请人： Juerg Tschirren , Milan Sonka , Joseph Reinhardt , Geoffrey McLennan , Eric Hoffman
发明人： Juerg Tschirren , Milan Sonka , Joseph Reinhardt , Geoffrey McLennan , Eric Hoffman
IPC分类号： A61B5/00
CPC分类号： A61B5/00 , A61B5/0033 , A61B5/08 , G06F19/00 , G06K9/469 , G06K9/6892 , G06K2209/05 , G06K2209/053 , G06K2209/055 , G06T19/00 , G16H50/50
摘要： Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.
摘要翻译：诸如计算机可读介质的设备和用于标签和/或匹配的方法，例如自动化方法。一些装置和方法对人类气道树的解剖标记特别有用。一些装置和方法对于匹配在两个或多个图中表示的人气道树的分支点是特别有用的。

108. 发明申请

US20130218026A1 AUTOMATED ASSESSMENT OF SKIN LESIONS USING IMAGE LIBRARY 有权
公开(公告)号：US20130218026A1
公开(公告)日：2013-08-22
申请号：US13674848
申请日：2012-11-12
申请人： CONVERGENT MEDICAL SOLUTIONS, INC.
发明人： Raymond H. Chen , Ramez Emile Necola Shehada
IPC分类号： A61B5/00
CPC分类号： A61B5/444 , A61B5/0059 , A61B5/0077 , A61B5/445 , A61B5/7246 , A61B5/7264 , A61B5/7282 , A61B5/7475 , G06F19/00 , G06F19/321 , G06K9/00 , G06K2209/05 , G06K2209/053 , G06T7/0014 , G06T2207/30088 , G16H50/70
摘要： An automated skin lesion assessment system may automatically assess a suspect skin lesion. An electronic image library may contain diagnosed skin lesion image data representative of images of a plurality of diagnosed skin lesions and, for each, a diagnosis of the skin lesion. An image capture system may capture an image of the suspect skin lesion. A computer processing system may compare the image of the suspect skin lesion with the diagnosed skin lesion image data and, based on this comparison, identify one or more diagnosed skin lesions which match the suspect skin lesion. A user interface may report the diagnoses of the diagnosed skin lesions that match the image of the suspect skin lesion.

109. 发明授权

US08503742B2 Method for mass candidate detection and segmentation in digital mammograms 有权
标题翻译：数字乳腺X线照片中质量候选检测和分割的方法
公开(公告)号：US08503742B2
公开(公告)日：2013-08-06
申请号：US12436536
申请日：2009-05-06
申请人： Piet Dewaele , Samar Mohamed , Gert Behiels
发明人： Piet Dewaele , Samar Mohamed , Gert Behiels
IPC分类号： G06K9/18
CPC分类号： G06T7/0012 , G06K9/3233 , G06K9/4619 , G06K2209/053 , G06T7/44 , G06T2207/30068
摘要： A basic component of Computer-Aided Detection systems for digital mammography comprises generating candidate mass locations suitable for further analysis. A component is described that relies on filtering either the background image or the complementary foreground mammographic detail by a purely signal processing method on the one hand or a processing method based on a physical model on the other hand. The different steps of the signal processing approach consist of band-pass filtering the image by one or more band pass filters, multidimensional clustering, iso-contouring of the distance to centroid of the one or more filtered values, and finally candidate generation and segmentation by contour processing. The physics-based approach also filters the image to retrieve a fat-corrected image to model the background of the breast, and the resulting image is subjected to a blob detection filter to model the intensity bumps on the foreground component of the breast that are associated with mass candidates.
摘要翻译：用于数字乳腺X线照相术的计算机辅助检测系统的基本组件包括产生适于进一步分析的候选质量位置。描述了依赖于通过纯粹的信号处理方法或者基于物理模型的处理方法来过滤背景图像或补充前景乳房X线照相细节的组件。信号处理方法的不同步骤包括通过一个或多个带通滤波器对图像进行带通滤波，多维聚类，一个或多个滤波值的质心距离等值线，以及最终的候选生成和分割轮廓处理。基于物理的方法还过滤图像以检索脂肪校正的图像以对乳房的背景进行建模，并且对所得到的图像进行斑点检测滤波器以对相关联的乳房的前景分量上的强度凸起进行建模与大众候选人。

110. 发明申请

US20130096438A1 METHOD AND DEVICE FOR DETECTING TUMOROUS TISSUE IN THE GASTROINTESTINAL TRACT WITH THE AID OF AN ENDOCAPSULE 有权
标题翻译：用内分泌辅助检测胃肠道肿瘤组织中的肿瘤组织的方法和装置
公开(公告)号：US20130096438A1
公开(公告)日：2013-04-18
申请号：US13805205
申请日：2011-05-11
申请人： Jens Fehre , Ralf Nanke
发明人： Jens Fehre , Ralf Nanke
IPC分类号： A61B1/04
CPC分类号： A61B1/043 , A61B1/041 , A61B5/0059 , A61B5/0071 , A61B5/0075 , A61B5/0084 , A61B5/4205 , G01N21/6408 , G01N21/6486 , G06K9/00147 , G06K2209/053
摘要： In a method and apparatus for detecting tumorous cell tissue in a gastrointestinal tract, electromagnetic radiation is emitted in a locally defined manner from an endoscope onto cell tissue and, after deactivation of the radiation, the decay of the inherent fluorescence intensity of the irradiated cell tissue, excited by the electromagnetic radiation, is detected, with temporal and spectral resolution and with a known scanning rate for at least one wavelength. From the intensity measurement values obtained in this manner, the difference autocorrelation function of the intensity decay is determined, from which a fractal dimension for the irradiated cell tissue is determined. The value of the fractal dimension is used to classify the irradiated cell tissue as to a degree to which the cell tissue is tumorous.
摘要翻译：在用于检测胃肠道中的肿瘤细胞组织的方法和装置中，电磁辐射以局部限定的方式从内窥镜发射到细胞组织上，并且在辐射失活之后辐射细胞组织的固有荧光强度的衰减被电磁辐射激发，被检测到，具有时间和光谱分辨率，并具有用于至少一个波长的已知扫描速率。根据以这种方式获得的强度测量值，确定强度衰减的差分自相关函数，确定照射的细胞组织的分形维数。分形维数的值用于将照射的细胞组织分类为细胞组织肿瘤程度。

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