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    • 3. 发明授权
    • Systems and methods for image pattern recognition
    • 图像模式识别的系统和方法
    • US07502519B2
    • 2009-03-10
    • US11836713
    • 2007-08-09
    • Ole EichhornDirk G. Soenksen
    • Ole EichhornDirk G. Soenksen
    • G06K9/36G06K9/00
    • G06K9/6218G06K9/00147G06T9/008G06T9/40H04N19/94H04N19/96
    • 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).
    • 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的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)。
    • 4. 发明授权
    • System and method for data management in a linear-array-based microscope slide scanner
    • 基于线性阵列的显微镜幻灯片扫描仪的数据管理系统和方法
    • US07428324B2
    • 2008-09-23
    • US11379648
    • 2006-04-21
    • Greg J. CrandallOle EichhornAllen H. OlsonDirk G. Soenksen
    • Greg J. CrandallOle EichhornAllen H. OlsonDirk G. Soenksen
    • G06K9/00
    • G02B21/367G02B21/002G02B21/0036G02B21/008G02B21/14G02B21/245G02B21/26G02B21/32G02B21/34G02B21/365G06F19/00H04N1/053H04N1/1903H04N1/193H04N1/19573H04N5/2256H04N5/23206H04N7/18H04N7/183H04N2201/04727H04N2201/04755
    • A data management system and method for processing, storing, and viewing the extremely large imagery data that is rapidly produced by a linear-array-based microscope slide scanner is provided. The system receives, processes, and stores imagery data produced by the linear-array-based microscope slide scanner at approximately 3 GB per minute. The data are received as a series of overlapping image stripes and combined into a seamless and contiguous baseline image. The baseline image is logically mapped into a plurality of regions that are individually addressed to facilitate viewing and manipulation of the baseline image. The data management system enables imagery data compression while scanning and capturing new image stripes. This advantageously eliminates the overhead associated with storing uncompressed image stripes. The image compression also creates intermediate level images, thereby organizing the baseline image into a variable level pyramid structure referred to as a virtual slide. The data management system efficiently converts image stripes into a high quality virtual slide that allows rapid panning and zooming by image viewing software in accordance with the individually addressed regions. The virtual slide also allows efficient processing by an algorithm framework. The data management system is costs effective and saleable, employs standard image file formats and supports the use of virtual slides in desirable applications such as telemedicine, telepath logy, microscopy education, and the analysis of high value specimens such as tissue arrays.
    • 提供了一种用于处理,存储和查看由基于线性阵列的显微镜幻灯片扫描仪快速产生的极大图像数据的数据管理系统和方法。 系统以每分钟3 GB的速度接收,处理和存储由基于线性阵列的显微镜幻灯片扫描仪生成的图像数据。 数据被接收为一系列重叠的图像条纹并组合成无缝和连续的基线图像。 基线图像被逻辑地映射到单独寻址的多个区域中,以便于观察和操纵基线图像。 数据管理系统在扫描和捕获新的图像条纹时可以进行图像数据压缩。 这有利地消除了与存储未压缩图像条纹相关联的开销。 图像压缩还创建中间级图像,从而将基线图像组织成称为虚拟幻灯片的可变级金字塔结构。 数据管理系统有效地将图像条纹转换成高质量的虚拟幻灯片,其允许通过图像查看软件根据单独寻址的区域进行快速平移和缩放。 虚拟幻灯片还允许通过算法框架进行有效的处理。 数据管理系统具有成本效益和可销售性,采用标准图像文件格式,并支持虚拟幻灯片在理想应用中的使用,如远程医疗,远程信息逻辑,显微镜教育,以及高价值标本(如组织阵列)的分析。
    • 6. 发明授权
    • Systems and methods for image pattern recognition
    • 图像模式识别的系统和方法
    • US07844125B2
    • 2010-11-30
    • US12400981
    • 2009-03-10
    • Ole EichhornDirk G. Soenksen
    • Ole EichhornDirk G. Soenksen
    • G06K9/00G06K9/68
    • G06K9/6218G06K9/00147G06T9/008G06T9/40H04N19/94H04N19/96
    • 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”).
    • 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的词汇相关联来实现图像的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”)。
    • 8. 发明申请
    • Second Opinion Network
    • 第二意见网
    • US20080292159A1
    • 2008-11-27
    • US12110185
    • 2008-04-25
    • Dirk G. SoenksenKathy Zirker-SmithOle Eichhorn
    • Dirk G. SoenksenKathy Zirker-SmithOle Eichhorn
    • G06K9/00
    • G16H80/00G06F19/00G06F19/321G16H50/50
    • 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.
    • 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。
    • 9. 发明授权
    • Systems and methods for image pattern recognition
    • 图像模式识别的系统和方法
    • US07257268B2
    • 2007-08-14
    • US10774971
    • 2004-02-09
    • Ole EichhornDirk G. Soenksen
    • Ole EichhornDirk G. Soenksen
    • G06K9/36
    • G06K9/6218G06K9/00147G06T9/008G06T9/40H04N19/94H04N19/96
    • 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).
    • 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的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)。