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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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2.发明申请公开(公告)号：US20180121760A1
公开(公告)日：2018-05-03
申请号：US15796379
申请日：2017-10-27
Applicant: General Electric Company
Inventor： Alberto Santamaria-Pang , Daniel Eugene Meyer , Michael Ernest Marino , Qing Li , Dmitry V. Dylov , Aritra Chowdhury
CPC classification number: G06K9/6256 , G06K9/44 , G06K9/6267 , G06K9/6274 , G06K2209/05 , G06N3/04 , G06N3/0454 , G06N3/08 , G06N3/084 , G06T7/0012 , G06T7/11 , G06T7/155 , G06T2200/04 , G06T2207/10056 , G06T2207/10064 , G06T2207/30016 , G06T2207/30101 , G06T2207/30172 , G09B23/30 , G09B23/303 , G16H50/20 , G16H50/50
Abstract: The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all or partly derived from synthetic vascular representations.
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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：US10740651B2
公开(公告)日：2020-08-11
申请号：US15796379
申请日：2017-10-27
Applicant: General Electric Company
Inventor： Alberto Santamaria-Pang , Daniel Eugene Meyer , Michael Ernest Marino , Qing Li , Dmitry V. Dylov , Aritra Chowdhury
IPC: G06K9/00 , G06K9/62 , G06N3/08 , G06N3/04 , G09B23/30 , G06T7/00 , G16H50/20 , G06K9/44 , G06T7/11 , G06T7/155 , G16H50/50
Abstract: The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all or partly derived from synthetic vascular representations.
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