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公开(公告)号：US10094899B2
公开(公告)日：2018-10-09
申请号：US15228881
申请日：2016-08-04
Applicant: General Electric Company
Inventor： Florian Wiesinger , Martin Andreas Janich , Ana Beatriz Solana Sanchez , Nicolas Hehn
IPC: G01R33/50 , G01R33/561 , G01R33/565
Abstract: Methods and systems to obtain and apply T2 preparatory radiofrequency (RF) pulse sequences for magnetic resonance imaging (MRI) are provided. The iterative methods may employ propagation of the magnetization state of the object being imaged and a comparison with a target magnetization state. The methods disclosed may be used to obtain MRI pulse sequences that may optimize T2 relaxation contrast. The produced RF pulse sequences may be robust to effects from inhomogeneity of the magnetic fields or other environmental or physiological perturbations.
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公开(公告)号：US20170035301A1
公开(公告)日：2017-02-09
申请号：US14817450
申请日：2015-08-04
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Silke Maria Lechner-Greite , Florian Wiesinger , Desmond Teck Beng Yeo , Matthew Richard Tarasek
CPC classification number: A61B5/015 , A61B5/4836 , A61B5/7214 , A61B5/7285 , A61B18/02 , A61B18/04 , A61B18/1815 , A61B2018/00577 , A61B2018/00791 , G01R33/4804 , G01R33/4814 , G01R33/4816 , G01R33/5602
Abstract: A system and method for tracking temperature changes in tissue and bone is disclosed. In one aspect, the temperature changes are tracked simultaneously with high spatial encoding and temporal efficiency. The method is robust in terms of B0 and chemical shift off-resonance, as well as insensitive to eddy currents for accurate temperature mapping. Zero TE (ZTE) based MR thermometry is utilized herein to extract temperature changes from proton density and T1 weighted images. Additionally, T1 signal contamination is corrected for by calibrating T1 and B0 by using a variable flip angle method to achieve temperature mapping in bone, aqueous and adipose tissue simultaneously.
Abstract translation: 公开了用于跟踪组织和骨骼中的温度变化的系统和方法。 在一个方面，温度变化与高空间编码和时间效率同时跟踪。 该方法在B0和化学位移偏共振方面是稳健的，以及对于精确温度映射的涡流不敏感。 本文利用基于零TE（ZTE）的MR测温来提取质子密度和T1加权图像的温度变化。 此外，通过使用可变翻转角法来校准T1和B0来校正T1信号污染，以同时实现骨，水和脂肪组织中的温度映射。
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公开(公告)号：US20140148684A1
公开(公告)日：2014-05-29
申请号：US13686226
申请日：2012-11-27
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Thomas Kwok-Fah Foo , Christopher Judson Hardy , Charles William Stearns , Ravindra Mohan Manjeshwar , Florian Wiesinger , Dattesh Dayanand Shanbhag
CPC classification number: A61B6/5247 , A61B5/0035 , A61B5/0037 , A61B5/055 , A61B5/0555 , A61B5/7289 , A61B5/7292 , A61B6/02 , A61B6/037 , A61B6/04 , A61B6/0407 , A61B6/4417 , A61B6/461 , A61B6/469 , A61B6/488 , A61B6/541 , A61B6/542 , A61B6/545 , A61B6/548
Abstract: Exemplary embodiments of the present disclosure are directed to scheduling positron emission tomography (PET) scans for a combined PET-MRI scanner based on an acquisition of MR scout images of a subject. An anatomy and orientation of the subject can be determined based on the MR scout images and the schedule for acquiring PET scans of the subject can be determined from the anatomy of the subject. The schedule generated using exemplary embodiments of the present disclosure can specify a sequence of bed positions, scan durations at each bed position, and whether respiratory gating will be used at one or more of the bed positions.
Abstract translation: 本公开的示例性实施例涉及基于对受试者的MR侦察图像的获取来调度用于组合的PET-MRI扫描仪的正电子发射断层摄影（PET）扫描。 可以基于MR侦察图像来确定被摄体的解剖结构和取向，并且可以从对象的解剖结构确定用于获取对象的PET扫描的时间表。 使用本公开的示例性实施例产生的日程表可以指定床位置的顺序，每个床位置的扫描持续时间，以及是否在一个或多个床位置使用呼吸门控。
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公开(公告)号：US20170371010A1
公开(公告)日：2017-12-28
申请号：US15532680
申请日：2015-12-02
Applicant: General Electric Company
Inventor： Dattesh Dayanand Shanbhag , Rakesh Mullick , Sheshadri Thiruvenkadam , Florian Wiesinger , Sudhanya Chatterjee , Kevin Matthew Koch
CPC classification number: G01R33/243 , A61B5/0035 , A61B5/055 , G01R33/481 , G01R33/4816 , G01R33/5608 , G01R33/56536
Abstract: An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.
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公开(公告)号：US20170307703A1
公开(公告)日：2017-10-26
申请号：US15142957
申请日：2016-04-29
Applicant: General Electric Company
Inventor： Florian Wiesinger , Anne Menini , Ana Beatriz Solana Sanchez
IPC: G01R33/385 , G01R33/561 , G01R33/48
CPC classification number: G01R33/3854 , G01R33/4816 , G01R33/4824 , G01R33/4826 , G01R33/50 , G01R33/5616
Abstract: Methods and systems for production of silent, multi-gradient-echo, magnetic resonance images are provided. The methods employ iterative application of small updates to the magnetic field gradient followed by a short, non-selective radiofrequency pulse excitation and for free induction decay data acquisition. The magnetic field gradient updates allow for silent, self-refocusing pulse sequence. Subsequent applications of the magnetic field gradients allow for multiple echo data acquisitions, which may allow fast, silent production of T2*-weighted images.
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Patent Agency Ranking
公开(公告)号：US09594139B2
公开(公告)日：2017-03-14
申请号：US14229464
申请日：2014-03-28
Applicant: General Electric Company
Inventor： Florian Wiesinger , Dattesh Dayanand Shanbhag , Laura Irene Sacolick , Sandeep Suryanarayana Kaushik
CPC classification number: G01R33/5608 , G01R33/4816 , G01R33/4824
Abstract: Systems and methods of classifying component tissues of magnetic resonance images, where the method includes performing a proton density weighted, short echo-time magnetic resonance imaging measurement over a first volume field-of-view region of interest (ROI), repeating a series refining the first volume field-of-view ROI into a plurality of subsequent smaller ROI volumes having respective smaller resolutions, reconstructing a complex image from the plurality of magnetic resonance imaging measurements, performing a bias correction on at least one of the plurality of subsequent smaller ROI volumes, and classifying the ROI volumes by tissue type based on the bias-corrected image signal, wherein at least one tissue type is bone. A non-transitory medium containing processor instructions and a system are disclosed.
Abstract translation: 分类磁共振图像的组分组织的系统和方法，其中该方法包括在第一体积视野区域（ROI）上执行质子密度加权的短回波 - 时间磁共振成像测量，重复串联精炼 将第一体积视野ROI转换成具有各自较小分辨率的多个随后较小的ROI卷，从所述多个磁共振成像测量中重建复数图像，对所述多个随后的较小ROI中的至少一个执行偏置校正 体积，并且基于偏差校正图像信号通过组织类型对ROI体积进行分类，其中至少一种组织类型是骨骼。 公开了一种包含处理器指令和系统的非暂时介质。
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7.发明申请JOINT RECONSTRUCTION OF ACTIVITY AND ATTENUATION IN EMISSION TOMOGRAPHY USING MAGNETIC-RESONANCE-BASED PRIORS 审中-公开使用基于磁共振的前列腺联合重建排放反应的活动和衰减公开(公告)号：US20160327622A1
公开(公告)日：2016-11-10
申请号：US14847643
申请日：2015-09-08
Applicant: General Electric Company
Inventor： Sangtae Ahn , Ravindra Mohan Manjeshwar , Florian Wiesinger , Lishui Cheng
CPC classification number: G01R33/481 , A61B5/0035 , A61B5/055 , G01T1/1642 , G01T1/2985 , G01T1/2992 , G06T11/006 , G06T2211/424
Abstract: According to some embodiments, emission projection data and second source scan data are received. A prior map and a prior weight map are generated from second source scan data. A penalty function calculates voxel-wise differences between the prior map and a given image, transforms the voxel-wise differences and calculates a weighted sum of the transformed differences, using weights based on the prior weight map. Joint reconstruction of an emission image and an attenuation map proceeds iteratively and uses the penalty function.
Abstract translation: 根据一些实施例，接收发射投影数据和第二源扫描数据。 从第二源扫描数据生成先验地图和先验权重图。 惩罚函数计算先前地图和给定图像之间的体元差异，转换体元差异，并使用基于先前权重图的权重来计算变换差值的加权和。 发射图像和衰减图的联合重建进行迭代，并使用惩罚函数。
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8.发明申请SYSTEMS AND METHODS FOR DETERMINING ELECTRICAL PROPERTIES USING MAGNETIC RESONANCE IMAGING 有权使用磁共振成像确定电气特性的系统和方法公开(公告)号：US20150153431A1
公开(公告)日：2015-06-04
申请号：US14095707
申请日：2013-12-03
Applicant: General Electric Company
Inventor： Ileana Hancu , Selaka Bandara Bulumulla , Florian Wiesinger , Laura Irene Sacolick , Seung Kyun Lee
IPC: G01R33/48 , G01R33/385 , G01R33/34 , G01R33/54
CPC classification number: G01R33/4816 , G01R33/246
Abstract: Systems and methods for determining electrical properties using Magnetic Resonance Imaging (MRI) are provided. One method includes applying an ultra-short echo time (TE) pulse sequence in a Magnetic Resonance Imaging (MRI) system and acquiring a complex B1+B1− quantity from an object following the application of the ultra-short TE pulse sequence, where B1+ is a complex amplitude of a transmit radio-frequency (RF) magnetic field and B1− is a complex amplitude of a receive RF magnetic field. The method also includes estimating, with a processor, one or more electrical properties of the object using the complex amplitudes of the transmit RF magnetic field and the receive RF magnetic field.
Abstract translation: 提供了使用磁共振成像（MRI）确定电气性能的系统和方法。 一种方法包括在磁共振成像（MRI）系统中应用超短回波时间（TE）脉冲序列，并且在应用超短TE脉冲序列之后从对象获取复数B1 + B1-量，其中B1 + 是发射射频（RF）磁场的复振幅，而B1-是接收RF磁场的复振幅。 该方法还包括利用处理器估计物体的一个或多个电特性，使用发射RF磁场和接收RF磁场的复振幅。
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公开(公告)号：US10436858B2
公开(公告)日：2019-10-08
申请号：US15532680
申请日：2015-12-02
Applicant: General Electric Company
Inventor： Dattesh Dayanand Shanbhag , Rakesh Mullick , Sheshadri Thiruvenkadam , Florian Wiesinger , Sudhanya Chatterjee , Kevin Matthew Koch
Abstract: An imaging system and method are disclosed. An MR image and measured B0 field map of a target volume in a subject are reconstructed, where the MR image includes one or more bright and/or dark regions. One or more distinctive constituent materials corresponding to the bright regions are identified. Each dark region is iteratively labeled as one or more ambiguous constituent materials. Susceptibility values corresponding to each distinctive and iteratively labeled ambiguous constituent material is assigned. A simulated B0 field map is iteratively generated based on the assigned susceptibility values. A similarity metric is determined between the measured and simulated B0 field maps. Constituent materials are identified in the dark regions based on the similarity metric to ascertain corresponding susceptibility values. The MRI data is corrected based on the assigned and ascertained susceptibility values. A diagnostic assessment of the target volume is determined based on the corrected MRI data.
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公开(公告)号：US20170365047A1
公开(公告)日：2017-12-21
申请号：US15182952
申请日：2016-06-15
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Dirk Bequé , Florian Wiesinger
CPC classification number: G06T5/005 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/30168 , G16H30/20 , G16H30/40 , G16H40/63
Abstract: The system and method of the invention pertains to automated analysis and reconstruction of images from a plurality of imaging devices to determine the presence of different types of artifacts, using signal processing and machine learning algorithms. The method (1) classifies the artifacts according to their cause, (2) selects correction algorithms to address the artifact, or artifact-generating data, and (3) selects the data or sections of the data and/or reconstruction parameters to be corrected. Then, another reconstruction is performed with the selected artifact corrections, yielding a second reconstructed image with less artifact content. The process can be applied iteratively until the artifact content of the reconstructed image is reduced to a satisfactory low level as determined by a user. If the artifacts cannot be addressed by data processing means, the method initiates or recommends alternative artifact management actions.
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