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公开(公告)号：US20170172540A1
公开(公告)日：2017-06-22
申请号：US15372688
申请日：2016-12-08
Applicant: General Electric Company
Inventor： Chandan Kumar Mallappa Aladahalli , Krishna Seetharam Shriram , Vivek Prabhakar Vaidya , Arathi Sreekumari , Jiayu Chen , Hidenori Shikata
CPC classification number: A61B8/0858 , A61B8/085 , A61B8/463 , A61B8/5223 , A61B8/56
Abstract: A method for assisted reading of automated ultrasound image volumes includes receiving a plurality of scan images generated from an imaging device, wherein the plurality of scan images comprises a chest wall region. The method further includes determining a chest wall model representative of the chest wall region based on the plurality of scan images. The method also includes determining a plurality of segmented scan images segmented along the chest wall region based on the chest wall model. In addition, the method includes determining lesion information using an automated lesion detection technique applied to the plurality of segmented scan images. The method also includes displaying the plurality of scan images along with at least one of the lesion information and the chest wall model.
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公开(公告)号：US11160528B2
公开(公告)日：2021-11-02
申请号：US15372688
申请日：2016-12-08
Applicant: General Electric Company
Inventor： Chandan Kumar Mallappa Aladahalli , Krishna Seetharam Shriram , Vivek Prabhakar Vaidya , Arathi Sreekumari , Jiayu Chen , Hidenori Shikata
Abstract: A method for assisted reading of automated ultrasound image volumes includes receiving a plurality of scan images generated from an imaging device, wherein the plurality of scan images comprises a chest wall region. The method further includes determining a chest wall model representative of the chest wall region based on the plurality of scan images. The method also includes determining a plurality of segmented scan images segmented along the chest wall region based on the chest wall model. In addition, the method includes determining lesion information using an automated lesion detection technique applied to the plurality of segmented scan images. The method also includes displaying the plurality of scan images along with at least one of the lesion information and the chest wall model.
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公开(公告)号：US20200305837A1
公开(公告)日：2020-10-01
申请号：US16366371
申请日：2019-03-27
Applicant: GENERAL ELECTRIC COMPANY
Abstract: An ultrasound scanning guidance method includes acquiring an image by an ultrasound probe of a target organ during an ultrasound scanning procedure. The acquired image corresponds to a pose of the target organ in an acquired scan plane. The method further includes processing the image by a guidance unit to determine an anatomical context around the target organ based on the acquired image. The processing the image also includes determining a relative location of the acquired scan plane with reference to a standard scan plane based on the pose of the target organ and the anatomical context. The processing further includes generating scanning guidance based on the relative location of the acquired scan plane. The scanning guidance includes information to move the probe towards a standard pose of the target organ. The method also includes presenting the scanning guidance by an output device for aiding continuance of the scanning procedure.
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Patent Agency Ranking
公开(公告)号：US20150254866A1
公开(公告)日：2015-09-10
申请号：US14202853
申请日：2014-03-10
Applicant: General Electric Company
Inventor： Paulo Ricardo Mendonca , Dirk Ryan Padfield , Chandan Kumar Mallappa Aladahalli , Shubao Liu , Theresa Rose Broniak
CPC classification number: G06T7/0081 , A61B8/0891 , A61B8/469 , A61B8/5215 , G06K9/3233 , G06K9/6205 , G06T7/11 , G06T7/70 , G06T2207/10136 , G06T2207/20081 , G06T2207/30101
Abstract: Systems and methods for determining parameters for image analysis are provided. One method includes obtaining ultrasound data of an object, generating an image of the object, and identifying a region of interest in the image. The method also includes determining a plurality of spatially varying parameters for image analysis of the region of interest using prior information for one or more objects of interest, including prior location information for the one or more objects of interest, and wherein the plurality of spatially varying parameters are determined for a plurality of sections of the region of interest and different for at least some of the plurality of sections. The method further includes using the plurality of spatially varying parameters for performing image analysis of the region of interest in the image to determine the location of the one or more objects of interest.
Abstract translation: 提供了用于确定图像分析参数的系统和方法。 一种方法包括获取对象的超声数据，生成对象的图像，以及识别图像中的感兴趣区域。 该方法还包括使用用于一个或多个感兴趣对象的先验信息来确定用于感兴趣区域的图像分析的多个空间变化参数，包括用于一个或多个感兴趣对象的先前位置信息，并且其中多个空间上可变的 为感兴趣区域的多个部分确定参数，并且对于多个部分中的至少一些部分是不同的。 该方法还包括使用多个空间变化参数来执行图像中的感兴趣区域的图像分析，以确定感兴趣的一个或多个物体的位置。
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公开(公告)号：US10262425B2
公开(公告)日：2019-04-16
申请号：US15637280
申请日：2017-06-29
Applicant: General Electric Company
Inventor： Chandan Kumar Mallappa Aladahalli , Krishna Seetharam Shriram , Dattesh Dayanand Shanbhag , Sheshadri Thiruvenkadam , Sandeep Suryanarayana Kaushik , Rakesh Mullick
Abstract: A method for synchronization of a longitudinal data set from a subject includes receiving a first ensemble registration estimate having a first reference image corresponding to a first image ensemble and receiving a second image ensemble different from the first image ensemble. The method includes determining a second reference image based on the second image ensemble and the first reference image. Further, the method includes determining a second ensemble registration estimate based on the first ensemble registration estimate, the second reference image, the first image ensemble and the second image ensemble using an optimization technique. The method further includes generating a synchronized image ensemble corresponding to the first image ensemble and the second image ensemble based on the second ensemble registration estimate. The method also includes determining a medical condition of the subject by a medical practitioner based on the synchronized image ensemble.
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公开(公告)号：US20180005389A1
公开(公告)日：2018-01-04
申请号：US15637280
申请日：2017-06-29
Applicant: General Electric Company
Inventor： Chandan Kumar Mallappa Aladahalli , Krishna Seetharam Shriram , Dattesh Dayanand Shanbhag , Sheshadri Thiruvenkadam , Sandeep Suryanarayana Kaushik , Rakesh Mullick
CPC classification number: G06T7/33 , A61B5/0033 , A61B5/0073 , A61B5/0515 , A61B5/055 , A61B5/486 , A61B5/72 , G06F19/00 , G06F19/34 , G06Q50/24 , G06T7/0012 , G06T7/0016 , G06T7/11 , G06T7/32
Abstract: A method for synchronization of a longitudinal data set from a subject includes receiving a first ensemble registration estimate having a first reference image corresponding to a first image ensemble and receiving a second image ensemble different from the first image ensemble. The method includes determining a second reference image based on the second image ensemble and the first reference image. Further, the method includes determining a second ensemble registration estimate based on the first ensemble registration estimate, the second reference image, the first image ensemble and the second image ensemble using an optimization technique. The method further includes generating a synchronized image ensemble corresponding to the first image ensemble and the second image ensemble based on the second ensemble registration estimate. The method also includes determining a medical condition of the subject by a medical practitioner based on the synchronized image ensemble.
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公开(公告)号：US09324155B2
公开(公告)日：2016-04-26
申请号：US14202853
申请日：2014-03-10
Applicant: General Electric Company
Inventor： Paulo Ricardo Mendonca , Dirk Ryan Padfield , Chandan Kumar Mallappa Aladahalli , Shubao Liu , Theresa Rose Broniak
CPC classification number: G06T7/0081 , A61B8/0891 , A61B8/469 , A61B8/5215 , G06K9/3233 , G06K9/6205 , G06T7/11 , G06T7/70 , G06T2207/10136 , G06T2207/20081 , G06T2207/30101
Abstract: Systems and methods for determining parameters for image analysis are provided. One method includes obtaining ultrasound data of an object, generating an image of the object, and identifying a region of interest in the image. The method also includes determining a plurality of spatially varying parameters for image analysis of the region of interest using prior information for one or more objects of interest, including prior location information for the one or more objects of interest, and wherein the plurality of spatially varying parameters are determined for a plurality of sections of the region of interest and different for at least some of the plurality of sections. The method further includes using the plurality of spatially varying parameters for performing image analysis of the region of interest in the image to determine the location of the one or more objects of interest.
Abstract translation: 提供了用于确定图像分析参数的系统和方法。 一种方法包括获取对象的超声数据，生成对象的图像，以及识别图像中的感兴趣区域。 该方法还包括使用用于一个或多个感兴趣对象的先验信息来确定用于感兴趣区域的图像分析的多个空间变化参数，包括用于一个或多个感兴趣对象的先前位置信息，并且其中多个空间上可变的 为感兴趣区域的多个部分确定参数，并且对于多个部分中的至少一些部分是不同的。 该方法还包括使用多个空间变化参数来执行图像中的感兴趣区域的图像分析，以确定感兴趣的一个或多个物体的位置。
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公开(公告)号：US20180032681A1
公开(公告)日：2018-02-01
申请号：US15224364
申请日：2016-07-29
Applicant: General Electric Company
Inventor： Chandan Kumar Mallappa Aladahalli , Dattesh Dayanand Shanbhag , Rakesh Mullick , Venkata Veerendra Nadh Chebrolu , Ersin Bayram
IPC: G06F19/00 , G06F3/0484 , G06F3/0482
Abstract: The present disclosure relates to a method for assessing biological features, the method that includes rendering a graphical user interface allowing a user to select patient cohort information defining one or more characteristics of a patient cohort and allowing a user to select an analysis technique from a plurality of analysis techniques, wherein the analysis technique operates on the patient data from both the first data acquisition modality and the second data acquisition modality to generate a derived variable. The method also includes allowing a user to define a threshold for the derived variable to define a first patient group above the threshold and a second patient group below the threshold for each patient of a patient cohort.
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