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41.发明授权System and method for improved spatial resolution of a multi-slice imaging system 有权用于改善多层成像系统的空间分辨率的系统和方法公开(公告)号：US09117304B2
公开(公告)日：2015-08-25
申请号：US13955304
申请日：2013-07-31
Applicant: General Electric Company
Inventor： Jiang Hsieh
CPC classification number: G06T11/008 , A61B6/03 , A61B6/032 , A61B6/5205 , A61B6/5258 , G06T7/0012 , G06T2207/10081 , G06T2207/20172 , G06T2207/30004 , G06T2211/416
Abstract: A system and method include acquisition of a set of projections from an object using a CT imaging system and reconstruct an initial image of the scanned object from the set of projections, the reconstructed initial image comprising a plurality of pixels. The system and method also include identification of a candidate pixel within the plurality of pixels, application of a nonlinear enhancement to the candidate pixel to iteratively adjust an intensity value of the candidate pixel, and generation of a final image using the adjusted intensity value of the candidate pixel.
Abstract translation: 一种系统和方法包括使用CT成像系统从对象获取一组投影，并从该组投影重建被扫描物体的初始图像，该重建的初始图像包括多个像素。 所述系统和方法还包括识别多个像素内的候选像素，对候选像素应用非线性增强以迭代地调整候选像素的强度值，以及使用调整后的像素的调整强度值来生成最终图像 候选像素。
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公开(公告)号：US09025815B2
公开(公告)日：2015-05-05
申请号：US14332020
申请日：2014-07-15
Applicant: General Electric Company
Inventor： Xiaoye Wu , Jiang Hsieh , Paavana Sainath , Dan Xu , Yannan Jin , Girijesh Kumar Yadava , Adam Israel Cohen , Hewei Gao
CPC classification number: A61B6/03 , G06T7/0012 , G06T11/008 , G06T2211/408
Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.
Abstract translation: 提供了一种方法。 该方法包括从多个像素获取对象的投影数据，将所获取的投影数据从多个像素重建成重建图像，对重建图像执行材料表征和分解，以减少分析的材料数量 在图像体积为两个基础材料。 所述方法还包括为所述两种基础材料的至少一种基础材料生成重新映射的图像体积，以及针对所述至少一种基础材料至少对所述重新映射的图像体积执行向前投影以产生基于材料的投影 。 该方法还包括基于基于材料的投影和由对象衰减的总投影来生成多材料校正投影，其表示两种基础材料，其中多材料校正投影包括线性化投影。
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公开(公告)号：US20140133719A1
公开(公告)日：2014-05-15
申请号：US13677010
申请日：2012-11-14
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Xiaoye Wu , Jiang Hsieh , Paavana Sainath , Dan Xu , Yannan Jin , Girijesh Kumar Yadava , Adam Israel Cohen , Hewei Gao
IPC: G06T7/00
CPC classification number: A61B6/03 , G06T7/0012 , G06T11/008 , G06T2211/408
Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.
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公开(公告)号：US11003988B2
公开(公告)日：2021-05-11
申请号：US15360042
申请日：2016-11-23
Applicant: General Electric Company
Inventor： Jiang Hsieh , Gopal Avinash , Saad Sirohey
IPC: G06N3/08 , G06F11/30 , G06N3/04 , G06F30/20 , G06F111/10
Abstract: Methods and apparatus for deep learning-based system design improvement are provided. An example system design engine apparatus includes a deep learning network (DLN) model associated with each component of a target system to be emulated, each DLN model to be trained using known input and known output, wherein the known input and known output simulate input and output of the associated component of the target system, and wherein each DLN model is connected as each associated component to be emulated is connected in the target system to form a digital model of the target system. The example apparatus also includes a model processor to simulate behavior of the target system and/or each component of the target system to be emulated using the digital model to generate a recommendation regarding a configuration of a component of the target system and/or a structure of the component of the target system.
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公开(公告)号：US20200043204A1
公开(公告)日：2020-02-06
申请号：US16056111
申请日：2018-08-06
Applicant: General Electric Company
Inventor： Lin Fu , Sathish Ramani , Jie Tang , Bruno Kristiaan Bernard De Man , Jed Douglas Pack , Jiang Hsieh , Ge Wang
Abstract: The present disclosure relates to image reconstruction with favorable properties in terms of noise reduction, spatial resolution, detail preservation and computational complexity. The disclosed techniques may include some or all of: a first-pass reconstruction, a simplified datafit term, and/or a deep learning denoiser. In various implementations, the disclosed technique is portable to different CT platforms, such as by incorporating a first-pass reconstruction step.
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Patent Agency Ranking
公开(公告)号：US10448915B2
公开(公告)日：2019-10-22
申请号：US15633819
申请日：2017-06-27
Applicant: General Electric Company
Inventor： Bruno Kristiaan Bernard De Man , Jed Douglas Pack , Eri Haneda , Sathish Ramani , Jiang Hsieh , James Vradenburg Miller , Peter Michael Edic
Abstract: A method for characterizing anatomical features includes receiving scanned data and image data corresponding to a subject. The scanned data comprises sinogram data. The method further includes identifying a first region in an image of the image data corresponding to a region of interest. The method also includes determining a second region in the scanned data. The second region corresponds to the first region. The method further includes identifying a sinogram trace corresponding to the region of interest. The sinogram trace comprises sinogram data present within the second region. The method includes determining a data feature of the subject based on the sinogram trace and a deep learning network. The method also includes determining a diagnostic condition corresponding to a medical condition of the subject based on the data feature.
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公开(公告)号：US10445886B2
公开(公告)日：2019-10-15
申请号：US15607806
申请日：2017-05-30
Applicant: General Electric Company
Inventor： Jiang Hsieh
IPC: G06T7/246 , G06T7/00 , G06T11/00 , G06T7/11 , A61B6/03 , A61B5/00 , A61B5/11 , A61B5/055 , A61B6/00 , A61B6/10 , A61B5/113
Abstract: Systems, apparatuses, and/or methods to provide motion-gated medical imaging. An apparatus may identify a data capture range of a sensor device that is to capture motion of an object during a scan process by a medical imaging device. An apparatus may identify a prescribed scan range. An apparatus may focus motion detection to a region of interest in the data capture range based on the prescribed scan range.
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公开(公告)号：US20190122401A1
公开(公告)日：2019-04-25
申请号：US16222586
申请日：2018-12-17
Applicant: General Electric Company
Inventor： Robert F. Senzig , Ravikanth Avancha , Bijan Dorri , Sandeep Dutta , Steven J. Gray , Jiang Hsieh , John Irvin Jackson , Giridhar Jothiprasad , Paul Edgar Licato , Darin Robert Okerlund , Toshihiro Rifu , Saad Ahmed Sirohey , Basel Taha , Peter Michael Edic , Jerome Knoplioch , Rahul Bhotika
Abstract: A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.
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49.发明授权公开(公告)号：US10074038B2
公开(公告)日：2018-09-11
申请号：US15360742
申请日：2016-11-23
Applicant: General Electric Company
Inventor： Jiang Hsieh , Gopal Avinash , Saad Sirohey , Xin Wang , Zhye Yin , Bruno De Man
CPC classification number: G06K9/6265 , G06K9/036 , G06K9/4604 , G06K9/4628 , G06N3/04 , G06N3/0454 , G06N3/08 , G06N3/084 , G06T7/0002 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/10116 , G06T2207/10132 , G06T2207/30168
Abstract: Methods and apparatus to automatically generate an image quality metric for an image are provided. An example method includes automatically processing a first medical image using a deployed learning network model to generate an image quality metric for the first medical image, the deployed learning network model generated from a digital learning and improvement factory including a training network, wherein the training network is tuned using a set of labeled reference medical images of a plurality of image types, and wherein a label associated with each of the labeled reference medical images indicates a central tendency metric associated with image quality of the image. The example method includes computing the image quality metric associated with the first medical image using the deployed learning network model by leveraging labels and associated central tendency metrics to determine the associated image quality metric for the first medical image.
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公开(公告)号：US09984476B2
公开(公告)日：2018-05-29
申请号：US14715373
申请日：2015-05-18
Applicant: General Electric Company
Inventor： Jiang Hsieh , William David Doan , Paul Roger Anderson
CPC classification number: G06T11/001 , G06T7/174 , G06T11/003 , G06T11/008 , G06T2207/10081 , G06T2207/30004 , G06T2211/408
Abstract: Methods and systems are provided for reconstructing and automatically segmenting an image. In one embodiment, a method comprises acquiring projection data, the projection data comprising higher energy projection data and lower energy projection data, generating a first image from the projection data, generating a second image from the projection data, segmenting the second image to generate segments, and segmenting the first image based on the segments of the second image. In this way, an image which may otherwise prove challenging for an automatic segmentation process may be accurately segmented without sacrificing textural details of the image.
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