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公开(公告)号：US20150234070A1
公开(公告)日：2015-08-20
申请号：US14182157
申请日：2014-02-17
Inventor： Yi Xu , Frederick Wilson Wheeler , Ali Can
IPC: G01V1/34
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.
Abstract translation: 目前公开的方法提供了具有计算机辅助的地震体积中的故障解释，允许故障表面的自动或半自动确定和跨故障的相关位移。 目前的故障解释方法使用模式匹配算法，不需要对地层视野的先前解释。 在某些实施方案中，故障解释方法将3D故障表面估计为联合断层表面位置和位移优化过程的一部分。
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公开(公告)号：US20140278115A1
公开(公告)日：2014-09-18
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
IPC: G01V1/30
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.
Abstract translation: 提出了一种有助于将地理信息信息定义为多个地震属性的一组规则的工作流程。 可以采用促进多个地震属性分析的建模算法，以找到最有可能满足该组规则的候选区域。 然后，这些候选人可以根据它们代表地理文本信息的程度进行排序。
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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：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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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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18.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：US20170039735A1
公开(公告)日：2017-02-09
申请号：US14820293
申请日：2015-08-06
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Ali Can , Bruno Kristiaan Bernard De Man , Jed Douglas Pack , John Christopher Boot , Eri Haneda
CPC classification number: G01N23/046 , G01N33/24 , G01N2223/419 , G01N2223/616 , G06T11/005
Abstract: Approaches related to performing calibration of a CT scanner or of processes (e.g., correction and/or reconstruction) performed on acquired CT scan data are described. In certain described approaches, calibration is attained without performing a calibration scan using a dedicated calibration phantom. In certain embodiments, calibration is performed using a feature intrinsic to the imaged object, such as a jacket disposed about a drilled core sample.
Abstract translation: 描述与执行CT扫描器的校准或对获取的CT扫描数据执行的处理（例如，校正和/或重构）相关的方法。 在某些描述的方法中，在不使用专用校准体模进行校准扫描的情况下获得校准。 在某些实施例中，使用成像对象固有的特征来执行校准，例如围绕钻孔芯样本设置的护套。
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公开(公告)号：US11407179B2
公开(公告)日：2022-08-09
申请号：US16359031
申请日：2019-03-20
Applicant: General Electric Company
Inventor： Joanna Mechelle Jayawickrema , Thomas Spears , Yousef Al-Kofahi , Ali Can
IPC: B29C64/393 , B29C64/153 , G06F30/00 , B33Y10/00 , B33Y50/02
Abstract: A system monitoring an additive manufacturing (AM) machine recoat operation includes an automatic defect recognition subsystem having a predictive model catalog each applicable to a product and to one recoat error indication having a domain dependent feature, the predicative models representative of a recoat error indication appearance at a pixel level of an image captured during recoat operations. The system includes an online monitoring subsystem having an image classifier unit that classifies recoat error indications at the pixel level based on predictive models selected on their metadata, a virtual depiction unit that creates a virtual depiction of an ongoing AM build from successive captured image, and a processor unit to monitor the build for recoat error indications, classify a detected indication, and provide a determination regarding the severity of the detected indication on the ongoing build. A method and a non-transitory computer-readable medium are also disclosed.
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