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公开(公告)号:US20210233244A1
公开(公告)日:2021-07-29
申请号:US17227093
申请日:2021-04-09
Applicant: General Electric Company
Inventor: Harihan Ravishankar , Vivek Vaidya , Sheshadri Thiruvenkadam , Rahul Venkataramani , Prasad Sudhakar
Abstract: A method for image segmentation includes receiving an input image. The method further includes obtaining a deep learning model having a triad of predictors. Furthermore, the method includes processing the input image by a shape model in the triad of predictors to generate a segmented shape image. Moreover, the method includes presenting the segmented shape image via a display unit.
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公开(公告)号:US20160169996A1
公开(公告)日:2016-06-16
申请号:US14571767
申请日:2014-12-16
Applicant: General Electric Company
Inventor: Hirohito Okuda , Yoshihiro Oda , Osamu Takayama , Vivek Vaidya
CPC classification number: G01R33/543 , A61B5/0037 , A61B5/0042 , A61B5/0044 , A61B5/055 , A61B5/4244 , A61B5/4528 , A61B5/7425 , A61B5/7475 , A61B2576/023 , A61B2576/026 , G01R33/4833
Abstract: The present application discloses a method of prescribing a scan plane during Magnetic Resonance Imaging (MRI) of an anatomy. The method comprises acquiring a volume image of the anatomy at a first resolution and simultaneously displaying three planar images representing cross-sections through the anatomy. The three images are orthogonal to each other and intersecting at a common point in the volume. The method also comprises further displaying a pair of axes on each image showing a correspondence of the image with each of the other two images, and receiving a manipulation of one at least one of the axes on at least one of the images and automatically updating the other images to maintain the correspondences. The method also comprises acquiring a volume of the anatomy at a second resolution that is higher than the first resolution.
Abstract translation: 本申请公开了一种在解剖结构的磁共振成像(MRI)中规定扫描平面的方法。 该方法包括以第一分辨率获取解剖结构的体积图像并且同时显示表示通过解剖结构的横截面的三个平面图像。 三个图像彼此正交并且与体积中的公共点相交。 该方法还包括在每个图像上进一步显示一对轴,示出图像与其他两个图像中的每一个的对应关系,并且接收至少一个图像上的至少一个轴的操纵,并自动更新 其他图像保持通信。 该方法还包括以高于第一分辨率的第二分辨率获取解剖体积的体积。
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公开(公告)号:US11810301B2
公开(公告)日:2023-11-07
申请号:US17227093
申请日:2021-04-09
Applicant: General Electric Company
Inventor: Harihan Ravishankar , Vivek Vaidya , Sheshadri Thiruvenkadam , Rahul Venkataramani , Prasad Sudhakar
CPC classification number: G06T7/10 , G06F17/15 , G06N3/045 , G06T2207/20084
Abstract: A method for image segmentation includes receiving an input image. The method further includes obtaining a deep learning model having a triad of predictors. Furthermore, the method includes processing the input image by a shape model in the triad of predictors to generate a segmented shape image. Moreover, the method includes presenting the segmented shape image via a display unit.
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公开(公告)号:US11232344B2
公开(公告)日:2022-01-25
申请号:US15799698
申请日:2017-10-31
Applicant: General Electric Company
Inventor: Hariharan Ravishankar , Bharath Ram Sundar , Prasad Sudhakar , Rahul Venkataramani , Vivek Vaidya
Abstract: The present approach relates to feature ranking within deep neural networks in a multi-task and/or multi-label setting. Approaches are described to identify features that are task-specific as well as features that are shared across multiple tasks. In addition to facilitating interpretability, the selected subset of features can be used to make efficient models leading to better stability & regularization along with reduced compute and memory.
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公开(公告)号:US20190130247A1
公开(公告)日:2019-05-02
申请号:US15799698
申请日:2017-10-31
Applicant: General Electric Company
Inventor: Hariharan Ravishankar , Bharath Ram Sundar , Prasad Sudhakar , Rahul Venkataramani , Vivek Vaidya
Abstract: The present approach relates to feature ranking within deep neural networks in a multi-task and/or multi-label setting. Approaches are described to identify features that are task-specific as well as features that are shared across multiple tasks. In addition to facilitating interpretability, the selected subset of features can be used to make efficient models leading to better stability & regularization along with reduced compute and memory.
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公开(公告)号:US20180157800A1
公开(公告)日:2018-06-07
申请号:US15828936
申请日:2017-12-01
Applicant: General Electric Company
Inventor: Hariharan Ravishankar , Vivek Vaidya , Christian Fritz Perrey
IPC: G06F19/00
CPC classification number: G16H50/20 , G06F19/321 , G06N3/02 , G06N20/00 , G09B7/00 , G09B23/28 , G16H10/20 , G16H30/40 , G16H50/50
Abstract: Systems and methods are provided for user defined distributed learning models grouped based on user clusters for configuring settings of a medical diagnostic imaging system. The systems and methods are configured to maintain models with predetermined settings for at least one of system settings, image presentation settings, or anatomical structures. The systems and methods are configured to calculate a data value representing select user preferences for a first user, identifying a first cluster based on the data value, and assigning a first model from the models to the first user based on the first cluster. The systems and methods are configured to monitor use of the first model by the first user during a medical diagnostic application to determine whether the first model is updated by the first user or automatically during the medical diagnostic application by changing at least one of system settings, image presentation settings, or anatomical structures.
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