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公开(公告)号：US09760991B2
公开(公告)日：2017-09-12
申请号：US14786508
申请日：2014-04-21
Applicant: General Electric Company
Inventor： Sheshadri Thiruvenkadam , Rakesh Mullick , Sandeep Kaushik , Hua Qian , Dattesh Shanbhag , Florian Wiesinger
IPC: G06K9/00 , G06T7/00 , A61B5/055 , A61B6/03 , A61B8/13 , G06T5/20 , G06T7/11 , G06T7/12 , G06T7/149 , G06T7/174 , G06T7/136
CPC classification number: G06T7/0012 , A61B5/055 , A61B6/032 , A61B6/037 , A61B8/13 , G06T5/20 , G06T7/11 , G06T7/12 , G06T7/136 , G06T7/149 , G06T7/174 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20116 , G06T2207/30004 , G06T2207/30024 , G06T2210/41
Abstract: A system and method for estimating image intensity bias and segmentation tissues is presented. The system and method includes obtaining a first image data set and at least a second image data set, wherein the first and second image data sets are representative of an anatomical region in a subject of interest. Furthermore, the system and method includes generating a baseline bias map by processing the first image data set. The system and method also includes determining a baseline body mask by processing the second image data set. In addition, the system and method includes estimating a bias map corresponding to a sub-region in the anatomical region based on the baseline body mask. Moreover, the system and method includes segmenting one or more tissues in the anatomical region based on the bias map.
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2.发明申请SYSTEM AND METHOD FOR IMAGE INTENSITY BIAS ESTIMATION AND TISSUE SEGMENTATION 有权用于图像强度偏差估计和组织分类的系统和方法公开(公告)号：US20160071263A1
公开(公告)日：2016-03-10
申请号：US14786508
申请日：2014-04-21
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Sheshadri Thiruvenkadam , Rakesh Mullick , Sandeep Kaushik , Hua Qian , Dattesh Shanbhag , Florian Wiesinger
CPC classification number: G06T7/0012 , A61B5/055 , A61B6/032 , A61B6/037 , A61B8/13 , G06T5/20 , G06T7/11 , G06T7/12 , G06T7/136 , G06T7/149 , G06T7/174 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20116 , G06T2207/30004 , G06T2207/30024 , G06T2210/41
Abstract: A system and method for estimating image intensity bias and segmentation tissues is presented. The system and method includes obtaining a first image data set and at least a second image data set, wherein the first and second image data sets are representative of an anatomical region in a subject of interest. Furthermore, the system and method includes generating a baseline bias map by processing the first image data set. The system and method also includes determining a baseline body mask by processing the second image data set. In addition, the system and method includes estimating a bias map corresponding to a sub-region in the anatomical region based on the baseline body mask. Moreover, the system and method includes segmenting one or more tissues in the anatomical region based on the bias map.
Abstract translation: 提出了一种用于估计图像强度偏差和分割组织的系统和方法。 该系统和方法包括获得第一图像数据集和至少第二图像数据集，其中第一和第二图像数据集代表感兴趣对象中的解剖区域。 此外，该系统和方法包括通过处理第一图像数据集来生成基线偏置图。 该系统和方法还包括通过处理第二图像数据集来确定基线体掩模。 另外，该系统和方法包括基于基线体掩模估计对应于解剖区域中的子区域的偏置图。 此外，系统和方法包括基于偏置图分割解剖区域中的一个或多个组织。
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公开(公告)号：US20180330233A1
公开(公告)日：2018-11-15
申请号：US15593157
申请日：2017-05-11
Applicant: General Electric Company
Inventor： Xue Rui , Hua Qian , Hao Lai , Bruno Kristiaan Bernard De Man , John Eric Tkaczyk
CPC classification number: G06N3/08 , G06F17/5009 , G06F19/321 , G06F2217/16 , G06N3/04 , G06T5/00
Abstract: The present approach relates to the use of machine-learning in convolution kernel design for scatter correction. In one aspect, a neural network is trained to replace or improve the convolution kernel used for scatter correction. The training data set may be generated probabilistically so that actual measurements are not employed.
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公开(公告)号：US09872664B1
公开(公告)日：2018-01-23
申请号：US15390349
申请日：2016-12-23
Applicant: General Electric Company
CPC classification number: A61B6/5282 , A61B6/032 , A61B6/037 , A61B6/4417 , A61B6/50 , A61B6/5205 , A61B6/54
Abstract: Methods and systems are provided for medical imaging systems. In one embodiment, a method comprises estimating an external scatter contamination in emission data based on an estimated emission activity originating from anatomies outside a field-of-view (FOV) of a scanner, the anatomies identified based on an image segmentation analysis performed on an image generated in the imaging system, the image generated prior to acquiring the emission data. In this way, a scatter correction applied to the emission data may include both scatter originating within the FOV and outside the FOV, and hence may be more accurate.
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公开(公告)号：US20180217275A1
公开(公告)日：2018-08-02
申请号：US15422833
申请日：2017-02-02
Applicant: General Electric Company
Inventor： Geng Fu , Hua Qian , Hao Lai , Jianjun Guo , Adrian Ivan , Brian Yanoff
CPC classification number: G01T1/2018 , G01T1/208
Abstract: A silicon photomultiplier (SiPM) based detection system includes a plurality of scintillators, SiPMs, a front end circuit, adjustment circuits, and an energy and position processing unit. The SiPMs have a non-linear response to energy deposition corresponding to radiation detection. The adjustment circuit is configured to receive an analog signal from SiPMs, and to provide an adjusted analog signal, which is configured to simulate a signal corresponding to a linear response. The energy and position processing unit utilizes the adjusted signal to provide energy and position information of detected events in the detector block.
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Patent Agency Ranking
公开(公告)号：US09817134B1
公开(公告)日：2017-11-14
申请号：US15262477
申请日：2016-09-12
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Geng Fu , Floribertus P M Heukensfeldt Jansen , Hua Qian , Xiao Jin , Jianjun Guo
IPC: G01T1/20
CPC classification number: G01T1/2018
Abstract: Embodiments of the invention are utilized to improve the timing performance of SiPM based PET detectors with light-sharing configuration. The universal readout design utilizes adaptive group readout to process noisy and slow signals generated by SiPM devices, and provides enhanced timing capabilities with simplified readout electronics.
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7.发明申请SYSTEM AND METHOD FOR JOINT ESTIMATION OF ATTENUATION AND ACTIVITY INFORMATION 有权用于联合评估衰减和活动信息的系统和方法公开(公告)号：US20160174919A1
公开(公告)日：2016-06-23
申请号：US14579039
申请日：2014-12-22
Applicant: General Electric Company
Inventor： Sangtae Ahn , Ravindra Mohan Manjeshwar , Florian Wiesinger , Dattesh Dayanand Shanbhag , Sandeep Suryanarayana Kaushik , Hua Qian , Anne Menini
IPC: A61B6/00 , G01T1/24 , G06T7/00 , A61B8/00 , A61B6/03 , A61B5/055 , A61B5/00 , A61B5/053 , G01R33/56 , G06T11/00
CPC classification number: A61B6/4417 , A61B5/0059 , A61B5/0536 , A61B5/055 , A61B6/032 , A61B6/037 , A61B6/5205 , A61B6/5258 , A61B8/4416 , G01R33/481 , G01R33/56 , G01T1/1603 , G01T1/1647 , G01T1/249 , G06T7/0012 , G06T11/003 , G06T11/006 , G06T2200/04 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30024 , G06T2207/30061 , G06T2211/40 , G06T2211/424
Abstract: Imaging system and method are presented. Emission scan (ES) and anatomical scan (AS) data corresponding to a target volume in a subject are received. One or more at least partial AS images are reconstructed using AS data. An image-space certainty (IC) map representing a confidence level (CL) for attenuation coefficients of selected voxels in AS images and a preliminary attenuation (PA) map based on AS images are generated. One or more of selected attenuation factors (AF) in projection-space are initialized based on PA map. A projection-space certainty (PC) map representing CL for the selected AF is generated based on IC map. An emission image of the target volume is initialized. The selected AF and emission image are iteratively updated based on the ES data, PC map, initial AF, and/or initial emission image. A desired emission image and/or AF values are determined based on the iteratively updated AF and/or emission image.
Abstract translation: 介绍了成像系统和方法。 接收与对象中的目标体积对应的发射扫描（ES）和解剖扫描（AS）数据。 使用AS数据重构一个或多个至少部分AS图像。 生成表示AS图像中的选定体素的衰减系数的置信水平（CL）和基于AS图像的初步衰减（PA）图的图像空间确定性（IC）图。 基于PA映射初始化投影空间中的一个或多个选择的衰减因子（AF）。 基于IC映射生成表示所选AF的CL的投影空间确定性（PC）映射。 初始化目标体积的发射图像。 基于ES数据，PC映射，初始AF和/或初始发射图像迭代地更新所选择的AF和发射图像。 基于迭代更新的AF和/或发射图像来确定期望的发射图像和/或AF值。
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公开(公告)号：US10466368B2
公开(公告)日：2019-11-05
申请号：US15422833
申请日：2017-02-02
Applicant: General Electric Company
Inventor： Geng Fu , Hua Qian , Hao Lai , Jianjun Guo , Adrian Ivan , Brian Yanoff
Abstract: A silicon photomultiplier (SiPM) based detection system includes a plurality of scintillators, SiPMs, a front end circuit, adjustment circuits, and an energy and position processing unit. The SiPMs have a non-linear response to energy deposition corresponding to radiation detection. The adjustment circuit is configured to receive an analog signal from SiPMs, and to provide an adjusted analog signal, which is configured to simulate a signal corresponding to a linear response. The energy and position processing unit utilizes the adjusted signal to provide energy and position information of detected events in the detector block.
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公开(公告)号：US09945965B2
公开(公告)日：2018-04-17
申请号：US15228300
申请日：2016-08-04
Applicant: General Electric Company
Inventor： Geng Fu , Adrian Ivan , Jianjun Guo , Hao Lai , Hua Qian , Xiao Jin
CPC classification number: G01T1/2018
Abstract: A SiPM readout circuit includes a front-end circuit having amplifiers coupled to SiPM analog outputs, pixel readout channels coupled to amplifiers provide a timing signal representing gamma ray photon detection in individual SiPM, a block timing channel that creates a summed signal from all SiPMs, and generates a block timing signal and a validation signal, an energy channel that generates a summed energy signal and a two-dimensional position of the gamma ray photon detection in the block, and a control logic/processing circuit that performs a time stamp estimation method. Methods of determining the radiation event timing and a non-transitory computer-readable medium containing computer-readable instructions to implement the methods are disclosed.
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10.发明授权公开(公告)号：US09474495B2
公开(公告)日：2016-10-25
申请号：US14579039
申请日：2014-12-22
Applicant: General Electric Company
Inventor： Sangtae Ahn , Ravindra Mohan Manjeshwar , Florian Wiesinger , Dattesh Dayanand Shanbhag , Sandeep Suryanarayana Kaushik , Hua Qian , Anne Menini
IPC: A61B6/00 , G06T7/00 , G01R33/56 , G01T1/24 , G06T11/00 , A61B6/03 , A61B5/055 , A61B5/00 , A61B5/053 , A61B8/00
CPC classification number: A61B6/4417 , A61B5/0059 , A61B5/0536 , A61B5/055 , A61B6/032 , A61B6/037 , A61B6/5205 , A61B6/5258 , A61B8/4416 , G01R33/481 , G01R33/56 , G01T1/1603 , G01T1/1647 , G01T1/249 , G06T7/0012 , G06T11/003 , G06T11/006 , G06T2200/04 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30024 , G06T2207/30061 , G06T2211/40 , G06T2211/424
Abstract: Imaging system and method are presented. Emission scan (ES) and anatomical scan (AS) data corresponding to a target volume in a subject are received. One or more at least partial AS images are reconstructed using AS data. An image-space certainty (IC) map representing a confidence level (CL) for attenuation coefficients of selected voxels in AS images and a preliminary attenuation (PA) map based on AS images are generated. One or more of selected attenuation factors (AF) in projection-space are initialized based on PA map. A projection-space certainty (PC) map representing CL for the selected AF is generated based on IC map. An emission image of the target volume is initialized. The selected AF and emission image are iteratively updated based on the ES data, PC map, initial AF, and/or initial emission image. A desired emission image and/or AF values are determined based on the iteratively updated AF and/or emission image.
Abstract translation: 介绍了成像系统和方法。 接收与对象中的目标体积对应的发射扫描（ES）和解剖扫描（AS）数据。 使用AS数据重构一个或多个至少部分AS图像。 生成表示AS图像中的选定体素的衰减系数的置信水平（CL）和基于AS图像的初步衰减（PA）图的图像空间确定性（IC）图。 基于PA映射初始化投影空间中的一个或多个选择的衰减因子（AF）。 基于IC映射生成表示所选AF的CL的投影空间确定性（PC）映射。 初始化目标体积的发射图像。 基于ES数据，PC映射，初始AF和/或初始发射图像迭代地更新所选择的AF和发射图像。 基于迭代更新的AF和/或发射图像来确定期望的发射图像和/或AF值。
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