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公开(公告)号：US10070796B2
公开(公告)日：2018-09-11
申请号：US14614026
申请日：2015-02-04
Applicant: General Electric Company
Inventor： Victor Petrovich Ostroverkhov , Alberto Santamaria-Pang , Dmitry V. Dylov , Ali Can , Siavash Yazdanfar
CPC classification number: A61B5/0261 , A61B5/02007 , A61B5/6815 , A61B2562/0238 , A61B2576/00
Abstract: A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.
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公开(公告)号：US09952340B2
公开(公告)日：2018-04-24
申请号：US14145099
申请日：2013-12-31
Inventor： Erhan Bas , Gianni Matteucci , Ali Can , Jens Rittscher , Weina Ge , Kelly E. Wrobel , Matthias G. Imhof , Leslie A. Wahrmund , Antonio Rafael da Costa Paiva
CPC classification number: G01V1/30 , G01V1/301 , G01V99/005 , G01V2210/64
Abstract: A workflow is presented that facilitates defining geocontextual information as a set of rules for multiple seismic attributes. Modeling algorithms may be employed that facilitate analysis of multiple seismic attributes to find candidate regions that are most likely to satisfy the set of rules. These candidates may then be sorted based on how well they represent the geocontextual information.
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公开(公告)号：US09824468B2
公开(公告)日：2017-11-21
申请号：US14985702
申请日：2015-12-31
Applicant: General Electric Company
Inventor： Jiajia Luo , Bruno Kristiaan Bernard De Man , Ali Can , Eri Haneda
CPC classification number: G06T11/006 , G06K9/4642 , G06K9/6244 , G06K9/6255 , G06K9/6256 , G06K2209/051 , G06T11/008 , G06T2210/41 , G06T2211/421 , G06T2211/424
Abstract: A computationally efficient dictionary learning-based term is employed in an iterative reconstruction framework to keep more spatial information than two-dimensional dictionary learning and require less computational cost than three-dimensional dictionary learning. In one such implementation, a non-local regularization algorithm is employed in an MBIR context (such as in a low dose CT image reconstruction context) based on dictionary learning in which dictionaries from different directions (e.g., x,y-plane, y,z-plane, x,z-plane) are employed and the sparse coefficients calculated accordingly. In this manner, spatial information from all three directions is retained and computational cost is constrained.
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公开(公告)号：US20170178308A1
公开(公告)日：2017-06-22
申请号：US14977253
申请日：2015-12-21
Applicant: General Electric Company
Inventor： Arun Karthi Subramaniyan , Khan Mohamed Khirullah Genghis Khan , Clifford Bueno , Ali Can , Adrian Gabriel Loghin , Jie Yu
CPC classification number: G06T7/001 , G06K9/00208 , G06K9/6212 , G06K9/6214 , G06K2209/19 , G06T7/11 , G06T2207/10081 , G06T2207/30164
Abstract: A monitoring system for determining component wear is provided. The monitoring system includes a memory device configured to store a reference model of a component and a component wear monitoring (CWM) device configured to receive a component image of a first component being inspected, detect a plurality of manmade structural features in the received component image, adjust the component image to mask out at least some of the plurality of manmade structural features from the received component image, compare the adjusted component image with the reference model to determine one or more potential defect areas in the first component, analyze each of the one or more defect areas to determine a state of the potential defect areas, and output the state of the one or more potential defect areas to a user.
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公开(公告)号：US09804282B2
公开(公告)日：2017-10-31
申请号：US14182157
申请日：2014-02-17
Inventor： Yi Xu , Frederick Wilson Wheeler , Ali Can
CPC classification number: G01V1/345 , G01V1/301 , G01V2210/642
Abstract: The approaches presently disclosed provide for fault-interpretation in a seismic volume with computer assistance, allowing automatic or semi-automatic determination of a fault surface and associated displacement across the fault. The present fault interpretation approach uses pattern matching algorithms and does not require prior interpretation of the stratigraphic horizons. In certain implementations the fault interpretation approach estimates the 3D fault surface as part of a joint fault surface location and displacement optimization process.
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Patent Agency Ranking
公开(公告)号：US20160220129A1
公开(公告)日：2016-08-04
申请号：US14614026
申请日：2015-02-04
Applicant: General Electric Company
Inventor： Victor Petrovich Ostroverkhov , Alberto Santamaria-Pang , Dmitry V. Dylov , Ali Can , Siavash Yazdanfar
CPC classification number: A61B5/0261 , A61B5/02007 , A61B5/6815 , A61B2562/0238 , A61B2576/00
Abstract: A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.
Abstract translation: 一个实施例中的方法包括采用被配置为可操作地耦合到患者的检测单元获取光学图像信息。 光学图像信息对应于患者的微循环。 该方法还包括使用光学图像信息产生患者的微血管微循环图。 此外，该方法包括基于微循环图生成与患者状况对应的定量微循环指标的定量微循环指标。
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公开(公告)号：US09348047B2
公开(公告)日：2016-05-24
申请号：US13722755
申请日：2012-12-20
Applicant: General Electric Company
Abstract: An approach for seismic data analysis is provided. In accordance with embodiments of this approach, parallel regions within a volume of seismic data are modeled. Residual regions within the volumetric data set are identified, where the residual regions comprise those regions not modeled as parallel regions. The residual regions or a graphic derived from the residual regions are displayed for review.
Abstract translation: 提供了一种地震数据分析方法。 根据该方法的实施例，对地震数据量的平行区域进行建模。 识别体积数据集内的剩余区域，其中残余区域包括未被建模为平行区域的那些区域。 显示剩余区域或从残差区域导出的图形以供查看。
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8.发明申请System and Method for Multiplexed Biomarker Quantitation Using Single Cell Segmentation on Sequentially Stained Tissue 有权用于使用单细胞分割进行连续染色组织的多重生物标志物定量的系统和方法公开(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。
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公开(公告)号：US10677948B2
公开(公告)日：2020-06-09
申请号：US15265495
申请日：2016-09-14
Inventor： Ali Can , Erhan Bas , Weina Ge , Shubao Liu , Xiaojie Huang , Mary Katherine Johns , Mark Wayne Dobin
Abstract: A method of identifying bounded hydrocarbon formations of interest in a seismic data set includes obtaining a seismic data set, pre-processing the seismic data set, inputting the plurality of graphical model inputs and one or more rules to a graphical model, wherein the rules define a relationship between a plurality of attributes of a bounded hydrocarbon formation, running a graphical model on the graphical model inputs, post-processing the graphical model outputs, and displaying the ranked clusters in order of rank.
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公开(公告)号：US10147173B2
公开(公告)日：2018-12-04
申请号：US14985901
申请日：2015-12-31
Inventor： Xiaojie Huang , Ali Can , Shubao Liu , Mark W. Dobin , Mary Johns , Leslie A. Wahrmund
Abstract: A method for identifying a plurality of features of interest in a seismic image includes ranking each feature of interest. The method also includes modeling a relationship between the rank of each feature of interest and a user rating of the feature of interest. The method further includes updating the ranking of the plurality of features of interest, including (1) receiving a user rating for one feature of interest that has not been previously rated by a user; (2) updating the model of the relationship between the rank of each feature of interest and the user rating of the feature of interest based on the user rating; (3) applying the model to the ranking of the plurality of features of interest; and (4) repeating steps (1)-(3) until a termination criterion is met.
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