Image processing and image analysis framework

    公开(公告)号:JP2007535717A

    公开(公告)日:2007-12-06

    申请号:JP2006508901

    申请日:2004-02-27

    Abstract: バーチャル鏡検法デジタル画像(「バーチャルスライド」)を処理及び解析するシステムと方法が提供される。 システムは、複数の画像処理及び画像解析用ルーチンに対するアクセスを維持又は有するアルゴリズムサーバーを備える。 アルゴリズムサーバーは、更に、複数のバーチャルスライドに対するアクセスを有する。 アルゴリズムサーバーは、識別されたバーチャルスライド上で選択されたルーチンを実行すると共に、結果データを供給する。 バーチャルスライドは、ネットワークを介して遠隔的又は局所的にアクセスすることができる。 同様に、画像処理ルーチンは、局所記憶装置から又はネットワークを介して又はその両方により得ることができる。 好都合に、ある共通サブルーチンが、他の局所的又は遠隔的に得られたルーチンに含まれるように局所的に記憶される。 画像処理及び画像解析へのアクセスは、バーチャルスライドを処理又はビューイングする要求を認証するモニタープロセスにより制限される。 画像への制限の変動は、バーチャルスライドのシェアリングと画像処理アルゴリズムのデモンストレーションを許容するアクセスレベルの豊富な多様性をもたらす。

    Systems and methods for image pattern recognition
    64.
    发明申请
    Systems and methods for image pattern recognition 有权
    图像模式识别的系统和方法

    公开(公告)号:US20040170325A1

    公开(公告)日:2004-09-02

    申请号:US10774971

    申请日:2004-02-09

    Abstract: Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (nullVQnull) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics. In virtual microscopy, the systems and methods are suitable for rare-event finding, such as detection of micrometastasis clusters, tissue identification, such as locating regions of analysis for immunohistochemical assays, and rapid screening of tissue samples, such as histology sections arranged as tissue microarrays (TMAs).

    Abstract translation: 用于图像模式识别的系统和方法包括使用图像的矢量量化(“VQ”)的数字图像捕获和编码。 通过将图像分割为内核并创建与每个内核相对应的向量来构建向量的词汇表。 通过创建具有指向存储在词汇表中的向量的索引的向量索引文件对图像进行编码。 向量索引文件可用于通过查找存储在词汇表中的向量来重建图像。 可以通过将图像向量与包括与特定图像特征相关的向量的预先训练的矢量集合词汇相关联来实现图像候选区域的模式识别。 在虚拟显微镜中,系统和方法适用于罕见事件发现,例如检测微转移簇,组织鉴定,例如免疫组织化学测定的分析区域以及组织样品的快速筛选,例如排列成组织的组织切片 微阵列(TMA)。

    ACHIEVING FOCUS IN A DIGITAL PATHOLOGY SYSTEM
    65.
    发明申请
    ACHIEVING FOCUS IN A DIGITAL PATHOLOGY SYSTEM 有权
    在数字病理学系统中取得重点

    公开(公告)号:US20130271594A1

    公开(公告)日:2013-10-17

    申请号:US13909935

    申请日:2013-06-04

    CPC classification number: G02B21/365 G02B21/002 G02B21/244

    Abstract: Methods and apparatus are provided for computing focus information during scanning digital microscope slide data with a line scan camera. The systems and methods include a dynamically interleaved procedure that works by moving the specimen relative to the objective lens while the height of the objective lens is adjusted relative to the stage. Imagery data is acquired at a plurality of objective lens heights the image data from the objective lens height having maximum contrast is stored and combined into a composite digital image of at least a portion of the specimen.

    Abstract translation: 提供了用线扫描相机扫描数字显微镜幻灯片数据时计算焦点信息的方法和装置。 该系统和方法包括动态交错过程,其通过相对于物镜移动样本而相对于该阶段调节物镜的高度而起作用。 在多个物镜高度处获取图像数据,从具有最大对比度的物镜高度的图像数据被存储并组合成至少一部分样本的复合数字图像。

    SYSTEMS AND METHODS FOR IMAGE PATTERN RECOGNITION

    公开(公告)号:CA2516894A1

    公开(公告)日:2004-09-16

    申请号:CA2516894

    申请日:2004-02-13

    Abstract: Systems and methods for image pattern recognition comprise digital image capture and encoding using vector quantization (“VQ”) of the image. A vocabulary of vectors is built by segmenting images into kernels and creating vectors corresponding to each kernel. Images are encoded by creating a vector index file having indices that point to the vectors stored in the vocabulary. The vector index file can be used to reconstruct an image by looking up vectors stored in the vocabulary. Pattern recognition of candidate regions of images can be accomplished by correlating image vectors to a pre-trained vocabulary of vector sets comprising vectors that correlate with particular image characteristics. In virtual microscopy, the systems and methods are suitable for rare-event finding, such as detection of micrometastasis clusters, tissue identification, such as locating regions of analysis for immunohistochemical assays, and rapid screening of tissue samples, such as histology sections arranged as tissue microarrays (“TMAs”).

    Image processing and analysis framework
    67.
    发明申请
    Image processing and analysis framework 有权
    图像处理与分析框架

    公开(公告)号:US20040169883A1

    公开(公告)日:2004-09-02

    申请号:US10787330

    申请日:2004-02-26

    CPC classification number: G06K9/46 G06T1/00

    Abstract: A system and method for processing and analyzing virtual microscopy digital images (nullvirtual slidesnull) is provided. The system comprises an algorithm server that maintains or has access to a plurality of image processing and analysis routines. The algorithm server additionally has access to a plurality of virtual slides. The algorithm server executes a selected routine on an identified virtual slide and provides the resulting data. The virtual slide can be accessed locally or remotely across a network. Similarly, the image processing routines can be obtained from local storage or across a network, or both. Advantageously, certain common sub-routines may be stored locally for inclusion in other local or remotely obtained routines. Access to image processing and analysis may be restricted through a monitor process that authenticates requests to process or view virtual slides. Variations in restrictions to images provide a rich diversity in access levels that allow sharing of virtual slides and demonstrations of image processing algorithms.

    Abstract translation: 提供了一种用于处理和分析虚拟显微镜数字图像(“虚拟幻灯片”)的系统和方法。 该系统包括维护或访问多个图像处理和分析例程的算法服务器。 算法服务器还可以访问多个虚拟幻灯片。 算法服务器在识别的虚拟幻灯片上执行所选择的例程,并提供所得到的数据。 虚拟幻灯片可以通过网络在本地或远程访问。 类似地,图像处理例程可以从本地存储器或网络或两者获得。 有利地,某些公共子例程可以被本地存储以包含在其他本地或远程获得的例程中。 图像处理和分析的访问可能会通过对进程或查看虚拟幻灯片的请求进行身份验证的监视进程来限制。 图像限制的变化提供了访问级别丰富的多样性,允许共享虚拟幻灯片和图像处理算法的演示。

    IMAGE PROCESSING AND ANALYSIS FRAMEWORK
    68.
    发明申请
    IMAGE PROCESSING AND ANALYSIS FRAMEWORK 审中-公开
    图像处理和分析框架

    公开(公告)号:WO2004079523A3

    公开(公告)日:2009-09-03

    申请号:PCT/US2004006013

    申请日:2004-02-27

    Abstract: A system and method for processing and analyzing virtual microscopy digital images ('virtual slides') is provided. The system comprises an algorithm server (20) that maintains or has access to a plurality of image processing and analysis routines. The algorithm server (20) additionally has access to a plurality of virtual slides. The algorithm server (20) executes a selected routine on an identified virtual slide and provides the resulting data. The virtual slide can be accessed locally or remotely across a network (80). Similarly, the image processing routines can be obtained from local storage (40) or across a network (80), or both. Advantageously, certain common sub-routines may be stored locally for inclusion in other local or remotely obtained routines. Access to image processing and analysis may be restricted through a monitor process that authenticates requests to process or view virtual slides. Variations in restrictions to images provide a rich diversity in access levels that allow sharing of virtual slides and demonstrations of image processing algorithms.

    Abstract translation: 提供了一种用于处理和分析虚拟显微镜数字图像(“虚拟幻灯片”)的系统和方法。 该系统包括维护或访问多个图像处理和分析例程的算法服务器(20)。 算法服务器(20)还可以访问多个虚拟幻灯片。 算法服务器(20)在所识别的虚拟幻灯片上执行选择的例程,并提供所得到的数据。 虚拟幻灯片可以通过网络本地或远程访问(80)。 类似地,图像处理例程可以从本地存储器(40)或网络(80)或两者获得。 有利地,某些公共子例程可以被本地存储以包含在其他本地或远程获得的例程中。 图像处理和分析的访问可能会通过对进程或查看虚拟幻灯片的请求进行身份验证的监视进程来限制。 图像限制的变化提供了访问级别丰富的多样性,允许共享虚拟幻灯片和图像处理算法的演示。

    SECOND OPINION NETWORK
    69.
    发明申请
    SECOND OPINION NETWORK 审中-公开
    第二个意见网络

    公开(公告)号:WO2008134567A1

    公开(公告)日:2008-11-06

    申请号:PCT/US2008/061650

    申请日:2008-04-25

    CPC classification number: G16H80/00 G06F19/00 G06F19/321 G16H50/50

    Abstract: Systems and methods are provided to facilitate consultations between a referral source (e.g., labs, pathologists and patients) and a consultant (e.g., pathologist, radiologist, or other digital image analyst). Links between the various referral sources and consultants are established through a scanning center via a data communication network such as the Internet. The referral source sends a slide to the scanning center where the corresponding digital slide is posted for review and analysis by the consultant. Upon completion of the analysis and report, a digital slide conference is conducted through the scanning center that provides a venue for direct communication regarding the consultation. The scanning center may also facilitate payment from the referral source to the consultant.

    Abstract translation: 提供系统和方法以便于转介来源(例如,实验室,病理学家和患者之间)和顾问(例如病理学家,放射科医师或其他数字图像分析者)之间的协商。 通过扫描中心通过数据通信网络(如互联网)建立各种转介来源和顾问之间的联系。 推荐来源将幻灯片发送到扫描中心,其中相应的数字幻灯片发布供顾问进行审查和分析。 完成分析报告后,通过扫描中心进行数字幻灯片会议,为会议提供直接沟通的场所。 扫描中心也可以方便从推荐来源向顾问付款。

    SYSTEM AND METHOD FOR SINGLE OPTICAL AXIS MULTI-DETECTOR MICROSCOPE SLIDE SCANNER
    70.
    发明申请
    SYSTEM AND METHOD FOR SINGLE OPTICAL AXIS MULTI-DETECTOR MICROSCOPE SLIDE SCANNER 审中-公开
    单光轴检测器微型扫描仪系统及方法

    公开(公告)号:WO2007101205A3

    公开(公告)日:2008-05-22

    申请号:PCT/US2007062890

    申请日:2007-02-27

    Inventor: CRANDALL GREG J

    CPC classification number: G02B21/34 G02B21/002 G02B21/367

    Abstract: Systems and methods for microscope slide scanning using multiple sensor arrays that receive imagery data from a single optical axis are provided. A single, high quality, easily obtained microscope objective lens is used to project an image onto two or more sensor arrays. The sensor arrays can be linear or two dimensional and imaging takes place along a single optical axis. Simultaneous sensor acquisition and parallel data processing reduce the image acquisition time by a factor of N, where N represents the number of sensors employed.

    Abstract translation: 提供了使用从单个光轴接收图像数据的多个传感器阵列进行显微镜幻灯片扫描的系统和方法。 使用单个,高质量,容易获得的显微镜物镜将图像投影到两个或更多个传感器阵列上。 传感器阵列可以是线性的或二维的并且沿着单个光轴进行成像。 同时传感器采集和并行数据处理将图像采集时间缩短了N倍,其中N表示采用的传感器数量。

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