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公开(公告)号：US20140105356A1
公开(公告)日：2014-04-17
申请号：US13649942
申请日：2012-10-11
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Zhye Yin , Bruno Kristiaan Bernard De Man , Xiaoyu Tian
CPC classification number: G01N23/04 , A61B6/4035 , A61B6/488 , A61B6/542
Abstract: Embodiments of the disclosure relate to projection-based dose estimation for X-ray systems, such as X-ray imaging systems. For example, in one embodiment, an X-ray system is capable of estimating an X-ray dose based on an intensity profile of the detected X-rays that have passed through a scanned object and an estimated mass of the object. In one embodiment, the intensity profile may be compared to a baseline scan to acquire an estimate of energy interaction with the object.
Abstract translation: 本公开的实施例涉及用于X射线系统（例如X射线成像系统）的基于投影的剂量估计。 例如，在一个实施例中，X射线系统能够基于已经通过扫描对象的检测到的X射线的强度分布和对象的估计质量来估计X射线剂量。 在一个实施例中，可以将强度分布与基线扫描进行比较以获得与对象的能量相互作用的估计。
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Patent Agency Ranking
12.发明申请公开(公告)号：US20190026608A1
公开(公告)日：2019-01-24
申请号：US16126762
申请日：2018-09-10
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 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , 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：US09125286B2
公开(公告)日：2015-09-01
申请号：US13730313
申请日：2012-12-28
Applicant: General Electric Company
Inventor： Bruno Kristiaan Bernard De Man , Zhye Yin , Xiaoyu Tian
CPC classification number: H05G1/28 , A61B6/4035 , A61B6/4241 , A61B6/542
Abstract: Embodiments of the disclosure relate to projection-based volumetric dose estimation for X-ray systems, such as X-ray imaging systems. For example, in one embodiment, an X-ray system is capable of estimating an X-ray dose based on an energy interaction of the X-rays with respective portions of an object. In another embodiment, the X-ray dose estimate may be provided on a per voxel, per region, and/or per organ basis.
Abstract translation: 本公开的实施例涉及用于X射线系统（例如X射线成像系统）的基于投影的体积剂量估计。 例如，在一个实施例中，X射线系统能够基于X射线与物体的各个部分的能量相互作用来估计X射线剂量。 在另一个实施方案中，X射线剂量估计可以在每个体素，每个区域和/或每个器官基础上提供。
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公开(公告)号：US09097642B2
公开(公告)日：2015-08-04
申请号：US13649942
申请日：2012-10-11
Applicant: General Electric Company
Inventor： Zhye Yin , Bruno Kristiaan Bernard De Man , Xiaoyu Tian
CPC classification number: G01N23/04 , A61B6/4035 , A61B6/488 , A61B6/542
Abstract: Embodiments of the disclosure relate to projection-based dose estimation for X-ray systems, such as X-ray imaging systems. For example, in one embodiment, an X-ray system is capable of estimating an X-ray dose based on an intensity profile of the detected X-rays that have passed through a scanned object and an estimated mass of the object. In one embodiment, the intensity profile may be compared to a baseline scan to acquire an estimate of energy interaction with the object.
Abstract translation: 本公开的实施例涉及用于X射线系统（例如X射线成像系统）的基于投影的剂量估计。 例如，在一个实施例中，X射线系统能够基于已经通过扫描对象的检测到的X射线的强度分布和对象的估计质量来估计X射线剂量。 在一个实施例中，可以将强度分布与基线扫描进行比较以获得与对象的能量相互作用的估计。
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公开(公告)号：US20140185751A1
公开(公告)日：2014-07-03
申请号：US13730313
申请日：2012-12-28
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Bruno Kristiaan Bernard De Man , Zhye Yin , Xiaoyu Tian
IPC: G01N23/083 , H05G1/28
CPC classification number: H05G1/28 , A61B6/4035 , A61B6/4241 , A61B6/542
Abstract: Embodiments of the disclosure relate to projection-based volumetric dose estimation for X-ray systems, such as X-ray imaging systems. For example, in one embodiment, an X-ray system is capable of estimating an X-ray dose based on an energy interaction of the X-rays with respective portions of an object. In another embodiment, the X-ray dose estimate may be provided on a per voxel, per region, and/or per organ basis.
Abstract translation: 本公开的实施例涉及用于X射线系统（例如X射线成像系统）的基于投影的体积剂量估计。 例如，在一个实施例中，X射线系统能够基于X射线与物体的各个部分的能量相互作用来估计X射线剂量。 在另一个实施方案中，X射线剂量估计可以在每个体素，每个区域和/或每个器官基础上提供。
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公开(公告)号：US20140133622A1
公开(公告)日：2014-05-15
申请号：US13675875
申请日：2012-11-13
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Zhye Yin , Bruno Kristiaan Bernard De Man , Jed Douglas Pack , Kyle Morgan Champley , Kai Zeng
IPC: A61B6/03
CPC classification number: A61B6/503 , A61B6/032 , A61B6/5205 , A61B6/541 , G06F19/00
Abstract: An approach is disclosed for acquiring multi-sector computed tomography scan data. The approach includes activating an X-ray source during heartbeats of a patient to acquire projection data over a limited angular range for each heartbeat. The projection data acquired over the different is combined. An image having good temporal resolution is reconstructed using the combined projection data.
Abstract translation: 公开了一种用于获取多扇区计算机断层摄影扫描数据的方法。 该方法包括在患者的心跳期间激活X射线源以在每个心跳的有限角度范围内获取投影数据。 将不同的投影数据合并。 使用组合的投影数据重建具有良好时间分辨率的图像。
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