公开(公告)号：US20140185905A1

公开(公告)日：2014-07-03

申请号：US14197558

申请日：2014-03-05

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Colin Craig McCulloch ,  Fiona Ginty ,  Christopher James Sevinsky ,  Qing Li

IPC: G06K9/00 ,  G01N33/50

CPC classification number: G06K9/00147 ,  G01N33/5091 ,  G01N33/57434 ,  G01N2800/52 ,  G01N2800/56 ,  G01N2800/60 ,  G06K9/6231

Abstract: A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.

Abstract translation: 存储小区简档数据的数据集。 细胞谱图数据包括描述多个生物标志物的表达的多重生物统计图像数据。 从具有与共性相关的评估的患者队列中抽取的组织样品产生细胞谱图数据。 从数据集中生成多组类似的单元; 检查每个组中细胞的比例与诊断，预后或反应的关联; 并基于模型性能选择一组预测集群。 基于多组聚类中的至少一个模型的性能的比较来选择一组预测集群。 公开了有助于理解集群特征的显示技术。

公开(公告)号：US20170109880A1

公开(公告)日：2017-04-20

申请号：US15270061

申请日：2016-09-20

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Yousef Al-Kofahi ,  Anup Sood ,  Fiona Ginty ,  Qing Li ,  Christopher James Sevinsky ,  Alberto Santamaria-Pang

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/143 ,  G06T7/174 ,  G06T7/181 ,  G06T7/194 ,  G06T11/008 ,  G06T11/60 ,  G06T2207/10004 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30101 ,  G06T2207/30172 ,  G06T2207/30204 ,  G06T2211/404

Abstract: Disclosed are novel computer-implemented methods for creating a blood vessel map of a biological tissue. The methods comprise the steps of, accessing image data corresponding to multi-channel multiplexed image of a fluorescently stained biological tissue manifesting expression levels of a primary marker and at least one auxiliary marker of blood vasculature, and extracting features of blood vessels using the primary marker as an input to create a single channel segmentation of the blood vessels. The method further comprises the steps of extracting features of blood vessels using the auxiliary marker to create auxiliary channels as a second input and apply multi-channel blood vessel enhancement. Blood vessel maps are created using the features and tracing the blood vasculature by iteratively extending the centerlines of the initial segmentation using statistical models and geometric rules

公开(公告)号：US10019796B2

公开(公告)日：2018-07-10

申请号：US15270061

申请日：2016-09-20

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Yousef Al-Kofahi ,  Anup Sood ,  Fiona Ginty ,  Qing Li ,  Christopher James Sevinsky ,  Alberto Santamaria-Pang

IPC: G06T7/00 ,  G06T11/60

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/143 ,  G06T7/174 ,  G06T7/181 ,  G06T7/194 ,  G06T11/008 ,  G06T11/60 ,  G06T2207/10004 ,  G06T2207/10056 ,  G06T2207/10064 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30101 ,  G06T2207/30172 ,  G06T2207/30204 ,  G06T2211/404

Abstract: Disclosed are novel computer-implemented methods for creating a blood vessel map of a biological tissue. The methods comprise the steps of, accessing image data corresponding to multi-channel multiplexed image of a fluorescently stained biological tissue manifesting expression levels of a primary marker and at least one auxiliary marker of blood vasculature, and extracting features of blood vessels using the primary marker as an input to create a single channel segmentation of the blood vessels. The method further comprises the steps of extracting features of blood vessels using the auxiliary marker to create auxiliary channels as a second input and apply multi-channel blood vessel enhancement. Blood vessel maps are created using the features and tracing the blood vasculature by iteratively extending the centerlines of the initial segmentation using statistical models and geometric rules.

公开(公告)号：US08995740B2

公开(公告)日：2015-03-31

申请号：US13865036

申请日：2013-04-17

Applicant: General Electric Company

Inventor： Alberto Santamaria-Pang ,  Jens Rittscher ,  Dirk Padfield ,  Ali Can ,  Zhengyu Pang ,  Musodiq Bello ,  Fiona Ginty ,  Christopher Sevinsky ,  Qing Li ,  Megan Rothney ,  Brion Sarachan

IPC: G06K9/00 ,  G06T7/00 ,  G01N33/574

CPC classification number: G06K9/0014 ,  G06T7/0012 ,  G06T2207/10064 ,  G06T2207/30024

Abstract: Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and/or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

Abstract translation: 提供了改进的数字图像分析系统和方法。 更具体地，本公开提供了用于分析生物组织样本的数字图像的改进的系统和方法。 示例性实施方案提供：i）分段，ii）分组，和iii）根据亚细胞区室（细胞核，膜和细胞质）量化各细胞的分子蛋白质谱。 本公开的系统和方法有利地在亚细胞水平进行组织分割，以便于全局和/或局部地分析，分组和定量组织部位中组织的蛋白质表达谱。 进行局部全局组织分析和蛋白质定量有利于使细胞的空间和分子构型与不同类型癌症的分子信息的相关性。

公开(公告)号：US10423820B2

公开(公告)日：2019-09-24

申请号：US15703835

申请日：2017-09-13

Applicant: General Electric Company

Inventor： Alberto Santamaria-Pang ,  Qing Li ,  Yunxia Sui ,  Dmitry Vladimirovich Dylov ,  Christopher James Sevinsky ,  Michael E. Marino ,  Michael J. Gerdes ,  Daniel Eugene Meyer ,  Fiona Ginty ,  Anup Sood

IPC: G06K9/00 ,  G06T7/33

Abstract: The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.

公开(公告)号：US09778263B2

公开(公告)日：2017-10-03

申请号：US14079347

申请日：2013-11-13

Applicant: General Electric Company

Inventor： Srabani Bhaumik ,  Michael John Gerdes ,  Zhengyu Pang ,  Fiona Ginty ,  Christopher James Sevinsky ,  Qing Li ,  Alberto Santamaria-Pang ,  Yunxia Sui ,  Keyur Hemantkumar Desai

IPC: G01N33/574 ,  G01N33/569 ,  G01N33/543 ,  G06T7/00 ,  G06K9/00 ,  G01N1/30

CPC classification number: G01N33/57492 ,  G01N1/30 ,  G01N33/54393 ,  G01N33/56972 ,  G01N33/56977 ,  G06K9/00147 ,  G06T7/0012 ,  G06T2207/10024 ,  G06T2207/30024

Abstract: The present disclosure relates to characterization of biological samples. By way of example, a biological sample may be contacted with a plurality of probes specific for targets in the sample, such as probes for immune markers and segmenting probes. Acquired image data of the sample may be used to segment the images into epithelial and stromal regions to characterize individual cells in the sample based on the binding of the probes. Further, the biological sample may be characterized by a distribution, location, and type of a plurality of the characterized cells.

公开(公告)号：US20150133321A1

公开(公告)日：2015-05-14

申请号：US14079347

申请日：2013-11-13

Applicant: General Electric Company

Inventor： Srabani Bhaumik ,  Michael John Gerdes ,  Zhengyu Pang ,  Fiona Ginty ,  Christopher James Sevinsky, JR. ,  Qing Li ,  Alberto Santamaria-Pang ,  Yunxia Sui ,  Keyur Hemantkumar Desai

IPC: G01N33/574

CPC classification number: G01N33/57492 ,  G01N1/30 ,  G01N33/54393 ,  G01N33/56972 ,  G01N33/56977 ,  G06K9/00147 ,  G06T7/0012 ,  G06T2207/10024 ,  G06T2207/30024

Abstract: The present disclosure relates to characterization of biological samples. By way of example, a biological sample may be contacted with a plurality of probes specific for targets in the sample, such as probes for immune markers and segmenting probes. Acquired image data of the sample may be used to segment the images into epithelial and stromal regions to characterize individual cells in the sample based on the binding of the probes. Further, the biological sample may be characterized by a distribution, location, and type of a plurality of the characterized cells.

Abstract translation: 本公开涉及生物样品的表征。 举例来说，可以将生物样品与样品中靶标特异性的多种探针接触，例如用于免疫标记和分割探针的探针。 可以使用样本的获取图像数据将图像分割成上皮和基质区域，以基于探针的结合来表征样品中的各个细胞。 此外，生物样品可以由多个表征的细胞的分布，位置和类型来表征。

公开(公告)号：US20240033092A1

公开(公告)日：2024-02-01

申请号：US17877486

申请日：2022-07-29

Applicant: General Electric Company

Inventor： Gautam Parthasarathy ,  Daniel J. Erno ,  Chitresh Bhushan ,  Cathleen Ann Hoel ,  Sara Kelly Peterson ,  Jessica Susanne Martinez ,  Brian Michael Davis ,  Steven Jude Duclos ,  Fiona Ginty

IPC: A61F2/30

CPC classification number: A61F2/30771 ,  A61F2002/3093 ,  A61F2002/30968 ,  A61F2310/00179 ,  A61F2310/00329 ,  A61F2310/00011 ,  A61F2002/30112

Abstract: The present discussion relates to the design fabrication and use of synthetic scaffold structure for bone growth. In certain implementations the scaffold structures are comprised of a plurality of repeating structures each defined by a local topology. The local topologies are defined at a subset of points in their respective volumes by various parameters including, but not limited to, shape index, curvedness, mean curvature, and Gauss curvature.

公开(公告)号：US20190080146A1

公开(公告)日：2019-03-14

申请号：US15703835

申请日：2017-09-13

Applicant: General Electric Company

Inventor： Alberto Santamaria-Pang ,  Qing Li ,  Yunxia Sui ,  Dmitry Vladimirovich Dylov ,  Christopher James Sevinsky ,  Michael E. Marino ,  Michael J. Gerdes ,  Daniel Eugene Meyer ,  Fiona Ginty ,  Anup Sood

IPC: G06K9/00 ,  G06T7/33

CPC classification number: G06K9/00147 ,  G06T7/0012 ,  G06T7/33 ,  G06T2207/10024 ,  G06T2207/10056 ,  G06T2207/20104 ,  G06T2207/30024

Abstract: The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.

公开(公告)号：US20140314299A1

公开(公告)日：2014-10-23

申请号：US13865036

申请日：2013-04-17

Applicant: General Electric Company

Inventor： Alberto Santamaria-Pang ,  Jens Rittscher ,  Dirk Padfield ,  Ali Can ,  Zhengyu Pang ,  Musodiq Bello ,  Fiona Ginty ,  Christopher Sevinsky ,  Qing Li ,  Megan Rothney ,  Brion Sarachan

IPC: G06K9/00

CPC classification number: G06K9/0014 ,  G06T7/0012 ,  G06T2207/10064 ,  G06T2207/30024

Abstract: Improved systems and methods for the analysis of digital images are provided. More particularly, the present disclosure provides for improved systems and methods for the analysis of digital images of biological tissue samples. Exemplary embodiments provide for: i) segmenting, ii) grouping, and iii) quantifying molecular protein profiles of individual cells in terms of sub cellular compartments (nuclei, membrane, and cytoplasm). The systems and methods of the present disclosure advantageously perform tissue segmentation at the sub-cellular level to facilitate analyzing, grouping and quantifying protein expression profiles of tissue in tissue sections globally and/or locally. Performing local-global tissue analysis and protein quantification advantageously enables correlation of spatial and molecular configuration of cells with molecular information of different types of cancer.

Abstract translation: 提供了改进的数字图像分析系统和方法。 更具体地，本公开提供了用于分析生物组织样本的数字图像的改进的系统和方法。 示例性实施方案提供：i）分段，ii）分组，和iii）根据亚细胞区室（细胞核，膜和细胞质）量化各细胞的分子蛋白质谱。 本公开的系统和方法有利地在亚细胞水平进行组织分割，以便于全局和/或局部地分析，分组和定量组织部位中组织的蛋白质表达谱。 进行局部全局组织分析和蛋白质定量有利于使细胞的空间和分子构型与不同类型癌症的分子信息的相关性。