-
1.发明申请Process and device for detection of precancer tissues with infrared spectroscopy 失效用红外光谱检测癌前组织的方法和装置公开(公告)号：US20100130868A1
公开(公告)日：2010-05-27
申请号：US12590790
申请日：2009-11-13
IPC分类号： A61B6/00
CPC分类号： A61B5/0075 , A61B5/0086 , A61B5/7264
摘要： A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.
摘要翻译： 用于确定组织是否是癌前期的方法，其中将前瞻性组织和良性组织之间以及癌前期和正常组织之间的区别的试验结合在一起，并且在两个测试中被分类为癌前期的组织被确定为癌前期，其中两个试验 组合是最有选择性的。 此外，其中糖原，磷酸盐和脂质的某些最佳波长但不是蛋白质的某些最佳波长区分正常和癌前组织的过程和装置。
-
2.发明授权Process and device for detection of precancer tissues with infrared spectroscopy 失效用红外光谱检测癌前组织的方法和装置公开(公告)号：US08532750B2
公开(公告)日：2013-09-10
申请号：US12590790
申请日：2009-11-13
IPC分类号： A61B6/00
CPC分类号： A61B5/0075 , A61B5/0086 , A61B5/7264
摘要： A process for determining whether tissue is precancer, in which tests discriminating between precancer and benign tissue and between precancer and normal tissue are combined, and tissue that is classified as precancer in both tests is determined to be precancer, in which neither of the tests to be combined is the most selective. Further, a process and device in which certain optimal wavelengths of glycogen, phosphate and lipid, but not protein, discriminate between normal and precancer tissues.
摘要翻译： 用于确定组织是否是癌前期的方法，其中将前瞻性组织和良性组织之间以及癌前期和正常组织之间的区别的试验结合在一起，并且在两个测试中被分类为癌前期的组织被确定为癌前期，其中两个试验 组合是最有选择性的。 此外，其中糖原，磷酸盐和脂质的某些最佳波长但不是蛋白质的某些最佳波长区分正常和癌前组织的过程和装置。
-
3.发明申请Diagnosis Support System Providing Guidance to a User by Automated Retrieval of Similar Cancer Images with User Feedback 审中-公开诊断支持系统通过用户反馈自动检索类似的癌症图像为用户提供指导公开(公告)号：US20120283574A1
公开(公告)日：2012-11-08
申请号：US13464914
申请日：2012-05-04
CPC分类号： G06F19/321 , G06F16/5838 , G06K9/46 , G06K9/6215 , G06K9/6218 , G06K9/629 , G06T7/0014
摘要： The present invention is a diagnosis support system providing automated guidance to a user by automated retrieval of similar disease images and user feedback. High resolution standardized labeled and unlabeled, annotated and non-annotated images of diseased tissue in a database are clustered, preferably with expert feedback. An image retrieval application automatically computes image signatures for a query image and a representative image from each cluster, by segmenting the images into regions and extracting image features in the regions to produce feature vectors, and then comparing the feature vectors using a similarity measure. Preferably the features of the image signatures are extended beyond shape, color and texture of regions, by features specific to the disease. Optionally, the most discriminative features are used in creating the image signatures. A list of the most similar images is returned in response to a query. Keyword query is also supported.
摘要翻译： 本发明是通过自动检索类似的疾病图像和用户反馈来向用户提供自动指导的诊断支持系统。 数据库中患病组织的高分辨率标准化标签和未标记，注释和非注释图像聚类，最好与专家反馈。 图像检索应用程序通过将图像分割成区域并提取区域中的图像特征来自动计算来自每个群集的查询图像和代表图像的图像签名，以产生特征向量，然后使用相似性度量来比较特征向量。 优选地，通过特定于疾病的特征，图像特征的特征被扩展到区域的形状，颜色和纹理之外。 可选地，最具有歧视性的特征用于创建图像签名。 响应于查询返回最相似图像的列表。 还支持关键字查询。
-
公开(公告)号：US07791008B2
公开(公告)日：2010-09-07
申请号：US12221267
申请日：2008-07-31
IPC分类号： G02B27/64
CPC分类号： G02B7/32
摘要： The present invention discloses methods and systems for improved focusing of imaging systems for the acquisition of high-quality focused tissue image data. A light emitter (L) aims a focusing light beam (FLB) towards an object of interest (O) so that the focusing light beam (FLB) is at an angle relative to the optical axis (OA) of the imager (I). If the object of interest (O) is out of focus, the focusing light spot (FLS) will appear above or below the focal point in the image (I). The pixel difference between the center of the focusing light spot (FLS) and the focal point indicates the range adjustment value. The range between the imager (I) and the object of interest (O) can then be adjusted according to the range adjustment value using a lookup table or calculations.
-
公开(公告)号：US20100025566A1
公开(公告)日：2010-02-04
申请号：US12221267
申请日：2008-07-31
IPC分类号： G02B7/04
CPC分类号： G02B7/32
摘要： The present invention discloses methods and systems for improved focusing of imaging systems for the acquisition of high-quality focused tissue image data. A light emitter (L) aims a focusing light beam (FLB) towards an object of interest (O) so that the focusing light beam (FLB) is at an angle relative to the optical axis (OA) of the imager (I). If the object of interest (O) is out of focus, the focusing light spot (FLS) will appear above or below the focal point in the image (I). The pixel difference between the center of the focusing light spot (FLS) and the focal point indicates the range adjustment value. The range between the imager (I) and the object of interest (O) can then be adjusted according to the range adjustment value using a lookup table or calculations.
摘要翻译： 本发明公开了用于改进用于获取高质量聚焦组织图像数据的成像系统的聚焦的方法和系统。 光发射器（L）将聚焦光束（FLB）朝向感兴趣物体（O）瞄准，使得聚焦光束（FLB）相对于成像器（I）的光轴（OA）成一定角度。 如果感兴趣的对象（O）不对焦，则聚焦光点（FLS）将出现在图像（I）中的焦点上方或下方。 聚焦光点（FLS）的中心与焦点之间的像素差表示范围调整值。 然后可以使用查找表或计算根据范围调整值来调整成像器（I）和感兴趣对象（O）之间的范围。
-
公开(公告)号：US08503747B2
公开(公告)日：2013-08-06
申请号：US13068188
申请日：2011-05-03
CPC分类号： G06K9/6284 , A61B5/4331 , G06K9/6297 , G06T7/0012 , G06T2207/10012 , G06T2207/10016 , G06T2207/10024 , G06T2207/20076 , G06T2207/30096
摘要： The present invention is an automated image analysis framework for cervical cancerous lesion detection. The present invention uses domain-specific diagnostic features in a probabilistic manner using conditional random fields. In addition, the present invention discloses a novel window-based performance assessment scheme for two-dimensional image analysis, which addresses the intrinsic problem of image misalignment. As a domain-specific anatomical feature, image regions corresponding to different tissue types are extracted from cervical images taken before and after the application of acetic acid during a clinical exam. The unique optical properties of each tissue type and the diagnostic relationships between neighboring regions are incorporated in the conditional random field model. The output provides information about both the tissue severity and the location of cancerous tissue in an image.
摘要翻译： 本发明是用于宫颈癌性病变检测的自动图像分析框架。 本发明以概率方式使用条件随机场来使用特定领域的诊断特征。 另外，本发明公开了一种用于二维图像分析的新颖的基于窗口的性能评估方案，其解决了图像未对准的固有问题。 作为区域特异性解剖特征，在临床检查期间，在应用乙酸之前和之后从宫颈图像中提取对应于不同组织类型的图像区域。 每个组织类型的独特光学性质和相邻区域之间的诊断关系被并入条件随机场模型中。 输出提供关于组织严重性和图像中癌组织位置的信息。
-
公开(公告)号：US20100093023A1
公开(公告)日：2010-04-15
申请号：US12587614
申请日：2009-10-08
IPC分类号： G01N1/28
CPC分类号： G01N1/286
摘要： A process for maintaining 3 dimensional orientation between a tissue specimen and images of the area of investigation, to register histopathologic diagnoses of multiple locations within the specimen with corresponding locations on the surface of said area of investigation, by marking at least two fiduciary lines on the area of investigation; acquiring a fiduciary image of the tissue with the fiduciary lines; excising the tissue to form a tissue specimen; inserting at least two parallel needles through said specimen; acquiring a specimen image of the specimen with inserted needles over an alignment grid; fixing the specimen by immersing the specimen; acquiring a fixed image of the fixed specimen with the inserted needles over the alignment grid; forming a paraffin mold containing the fixed specimen and inserted needles; injecting different colored inks through the needles while withdrawing them from the fixed specimen, so that different colored needle tracks are formed in the specimen; sectioning the specimen to create specimen blocks having different colored needle tracks; further sectioning the specimen to cut the specimen blocks into specimen slices having different colored ink dots corresponding to the different colored needle tracks; forming pathology images from the specimen slices; performing histopathology analyses on the pathology images; annotating the pathology images with histopathology annotations; aligning the annotations with the fixed image using the colored ink dots; determining shrinkage between the fixed image and the annotations by using the grid to compare the distance between the needles in the fixed image with the distance between the ink dots on the specimen slices; registering the fixed image to the specimen image to account for shrinkage caused by fixation, using locations of the needles in both of the images as landmarks; registering the specimen image to the fiduciary image to account for tissue translation and soft tissue movement using the fiduciary lines and geographical features of said area of investigation as landmarks; registering the fiduciary image to the reference image to account for tissue translation and soft tissue movement using said geographical features; whereby annotations of histopathologic diagnoses are provided for multiple locations on or under the surface of the specimen that are registered to images of the specimen.
-
8.发明授权Process for preserving three dimensional orientation to allow registering histopathological diagnoses of tissue to images of that tissue 失效用于保持三维取向以允许将组织的组织病理学诊断记录到该组织的图像的方法公开(公告)号：US08501435B2
公开(公告)日：2013-08-06
申请号：US12587614
申请日：2009-10-08
申请人： Ulf Peter Gustafsson , Jody C. Oyama , Sara Maria Bergsten , Andrew Beaumont Whitesell , Richard W. Lieberman , Michael Paul Eldred
发明人： Ulf Peter Gustafsson , Jody C. Oyama , Sara Maria Bergsten , Andrew Beaumont Whitesell , Richard W. Lieberman , Michael Paul Eldred
IPC分类号： G01N1/30
CPC分类号： G01N1/286
摘要： A process for maintaining 3 dimensional orientation between a tissue specimen and images of the area of investigation, to register histopathologic diagnoses of multiple locations within the specimen with corresponding locations on the surface of said area of investigation.
摘要翻译： 用于维持组织标本与调查区域的图像之间的3维取向的方法，以在所述检测区域的表面上的相应位置登记所述样本内多个位置的组织病理学诊断。
-
9.发明授权High resolution digital video colposcope with built-in polarized LED illumination and computerized clinical data management system 失效高分辨率数字视频阴道镜，内置偏光LED照明和电脑临床数据管理系统公开(公告)号：US08289378B2
公开(公告)日：2012-10-16
申请号：US12291890
申请日：2008-11-14
IPC分类号： H04N132/02
CPC分类号： A61B1/042 , A61B1/00186 , A61B1/0607 , A61B1/0646 , A61B1/0684 , A61B1/303 , A61B5/0084 , G06F19/00
摘要： This invention uses LEDs and cross-polarization to produce bright, high-resolution digital images, both with and without glint (which adversely affects the clarity of standard colposcopic images), as well as streaming video at lower resolution. The invention allows for deeper layers of the tissue to be more efficiently visualized at multiple magnifications, thereby enhancing the invention's diagnostic capabilities, and it includes a focusing subsystem and a computerized data management system to archive and annotate still image data.
摘要翻译： 本发明使用LED和交叉极化来产生明亮，高分辨率的数字图像，无论是否具有闪烁（其对标准阴道镜图像的清晰度有不利影响），以及较低分辨率的流视频。 本发明允许以多个放大率更有效地可视化组织的较深层，从而增强本发明的诊断能力，并且其包括聚焦子系统和计算机化的数据管理系统以对静止图像数据进行归档和注释。
-
10.发明申请公开(公告)号：US20110301447A1
公开(公告)日：2011-12-08
申请号：US13134507
申请日：2011-06-07
申请人： Sun Young Park , Dustin Sargent , Ulf Peter Gustafsson , Wenjing Li , Rolf Wolters , Stephen D. Fleischer
发明人： Sun Young Park , Dustin Sargent , Ulf Peter Gustafsson , Wenjing Li , Rolf Wolters , Stephen D. Fleischer
CPC分类号： G06T7/0016 , G06T2207/10016 , G06T2207/10068 , G06T2207/20076 , G06T2207/20081 , G06T2207/30032
摘要： A process and device for detecting colon cancer by classifying and annotating clinical features in video data containing colonoscopic features by applying a probabilistic analysis to intra-frame and inter-frame relationships between colonoscopic features in spatially and temporally neighboring portions of video frames, and classifying and annotating as clinical features any of the colonoscopic features that satisfy the probabilistic analysis as clinical features. Preferably the probabilistic analysis is Hidden Markove Model analysis, and the process is carried out by a computer trained using semi supervised learning from labeled and unlabeled examples of clinical features in video containing colonoscopic features.
摘要翻译： 通过对视频帧的空间和时间相邻部分中的结肠镜检查特征之间的帧内和帧间关系进行概率分析，对包含结肠镜特征的视频数据中的临床特征进行分类和注释来检测结肠癌的过程和装置，以及分类和 注释为临床特征任何结肠镜检查特征，满足作为临床特征的概率分析。 优选地，概率分析是隐藏的Markove模型分析，并且该过程由使用半监督学习的计算机进行，该计算机通过标签和未标记的包含结肠镜特征的视频的临床特征实例来实施。
-
-
-
-
-
-
-
-
-
搜索结果
15 条记录 (耗时 0.025 秒)
