公开(公告)号：US08867814B2

公开(公告)日：2014-10-21

申请号：US13644916

申请日：2012-10-04

Applicant: General Electric Company

Inventor： Albert Henry Roger Lonn ,  Scott David Wollenweber ,  Dattesh Dayanand Shanbhag ,  Sheshadri Thiruvenkadam

IPC: G06K9/00

CPC classification number: G06T11/005

Abstract: A method for generating a positron emission tomography (PET) attenuation correction map. The method includes obtaining a magnetic resonance (MR) image dataset of a subject of interest, obtaining a positron emission tomography (PET) emission dataset of the subject of interest, segmenting the MR image dataset to identify at least one object of interest, determining a volume of the object of interest, and generating a PET attenuation correction map using the determined volume. A medical imaging system and a non-transitory computer readable medium are also described herein.

Abstract translation: 一种用于产生正电子发射断层摄影（PET）衰减校正图的方法。 该方法包括获得感兴趣对象的磁共振（MR）图像数据集，获得感兴趣对象的正电子发射断层摄影（PET）发射数据集，分割MR图像数据集以识别至少一个感兴趣对象，确定 感兴趣对象的体积，以及使用确定的体积产生PET衰减校正图。 本文还描述了医学成像系统和非暂时性计算机可读介质。

公开(公告)号：US20140099009A1

公开(公告)日：2014-04-10

申请号：US13644916

申请日：2012-10-04

Applicant: GENERAL ELECTRIC COMPANY

Inventor： Albert Henry Roger Lonn ,  Scott David Wollenweber ,  Dattesh Dayanand Shanbhag ,  Sheshadri Thiruvenkadam

IPC: G06K9/34

CPC classification number: G06T11/005

Abstract: A method for generating a positron emission tomography (PET) attenuation correction map. The method includes obtaining a magnetic resonance (MR) image dataset of a subject of interest, obtaining a positron emission tomography (PET) emission dataset of the subject of interest, segmenting the MR image dataset to identify at least one object of interest, determining a volume of the object of interest, and generating a PET attenuation correction map using the determined volume. A medical imaging system and a non-transitory computer readable medium are also described herein

Abstract translation: 一种用于产生正电子发射断层摄影（PET）衰减校正图的方法。 该方法包括获得感兴趣对象的磁共振（MR）图像数据集，获得感兴趣对象的正电子发射断层摄影（PET）发射数据集，分割MR图像数据集以识别至少一个感兴趣对象，确定 感兴趣对象的体积，以及使用确定的体积产生PET衰减校正图。 本文还描述了医学成像系统和非暂时性计算机可读介质

公开(公告)号：US11605455B2

公开(公告)日：2023-03-14

申请号：US16722409

申请日：2019-12-20

Applicant: General Electric Company

Inventor： Dattesh Dayanand Shanbhag ,  Hariharan Ravishankar ,  Rahul Venkataramani

IPC: G16H30/40 ,  G06T7/00 ,  G06N3/08 ,  G06N20/00 ,  G06N5/046

Abstract: The subject matter discussed herein relates to systems and methods for generating a clinical outcome based on creating a task-specific model associated with processing raw image(s). In one such example, input raw data is acquired using an imaging system, a selection input corresponding to a clinical task is received, and a task-specific model corresponding to the clinical task is retrieved. Using the task-specific model, the raw data is mapped onto an application specific manifold. Based on the mapping of the raw data onto the application specific manifold the clinical outcome is generated, and subsequently providing the clinical outcome for review.

公开(公告)号：US20200037962A1

公开(公告)日：2020-02-06

申请号：US16051723

申请日：2018-08-01

Applicant: General Electric Company

Inventor： Dattesh Dayanand Shanbhag ,  Chitresh Bhushan ,  Arathi Sreekumari ,  Andre de Almeida Maximo ,  Rakesh Mullick ,  Thomas Kwok-Fah Foo

IPC: A61B5/00 ,  A61B5/055

Abstract: The present disclosure relates to use of a workflow for automatic prescription of different radiological imaging scan planes across different anatomies and modalities. The automated prescription of such imaging scan planes helps ensure contiguous visualization of the different landmark structures. Unlike prior approaches, the disclosed technique determines the necessary planes using the localizer images itself and does not explicitly segment or delineate the landmark structures to perform plane prescription.

公开(公告)号：US10262425B2

公开(公告)日：2019-04-16

申请号：US15637280

申请日：2017-06-29

Applicant: General Electric Company

Inventor： Chandan Kumar Mallappa Aladahalli ,  Krishna Seetharam Shriram ,  Dattesh Dayanand Shanbhag ,  Sheshadri Thiruvenkadam ,  Sandeep Suryanarayana Kaushik ,  Rakesh Mullick

IPC: G06F19/00 ,  G06T7/33 ,  G06T7/00 ,  G06T7/11 ,  G06Q50/24 ,  A61B5/00 ,  A61B5/05 ,  A61B5/055

Abstract: A method for synchronization of a longitudinal data set from a subject includes receiving a first ensemble registration estimate having a first reference image corresponding to a first image ensemble and receiving a second image ensemble different from the first image ensemble. The method includes determining a second reference image based on the second image ensemble and the first reference image. Further, the method includes determining a second ensemble registration estimate based on the first ensemble registration estimate, the second reference image, the first image ensemble and the second image ensemble using an optimization technique. The method further includes generating a synchronized image ensemble corresponding to the first image ensemble and the second image ensemble based on the second ensemble registration estimate. The method also includes determining a medical condition of the subject by a medical practitioner based on the synchronized image ensemble.

公开(公告)号：US20180005389A1

公开(公告)日：2018-01-04

申请号：US15637280

申请日：2017-06-29

Applicant: General Electric Company

Inventor： Chandan Kumar Mallappa Aladahalli ,  Krishna Seetharam Shriram ,  Dattesh Dayanand Shanbhag ,  Sheshadri Thiruvenkadam ,  Sandeep Suryanarayana Kaushik ,  Rakesh Mullick

IPC: G06T7/33 ,  G06F19/00 ,  G06T7/11 ,  A61B5/00 ,  G06T7/00 ,  G06Q50/24

CPC classification number: G06T7/33 ,  A61B5/0033 ,  A61B5/0073 ,  A61B5/0515 ,  A61B5/055 ,  A61B5/486 ,  A61B5/72 ,  G06F19/00 ,  G06F19/34 ,  G06Q50/24 ,  G06T7/0012 ,  G06T7/0016 ,  G06T7/11 ,  G06T7/32

Abstract: A method for synchronization of a longitudinal data set from a subject includes receiving a first ensemble registration estimate having a first reference image corresponding to a first image ensemble and receiving a second image ensemble different from the first image ensemble. The method includes determining a second reference image based on the second image ensemble and the first reference image. Further, the method includes determining a second ensemble registration estimate based on the first ensemble registration estimate, the second reference image, the first image ensemble and the second image ensemble using an optimization technique. The method further includes generating a synchronized image ensemble corresponding to the first image ensemble and the second image ensemble based on the second ensemble registration estimate. The method also includes determining a medical condition of the subject by a medical practitioner based on the synchronized image ensemble.

公开(公告)号：US09706972B1

公开(公告)日：2017-07-18

申请号：US15278652

申请日：2016-09-28

Applicant: General Electric Company

Inventor： Sangtae Ahn ,  Lishui Cheng ,  Florian Wiesinger ,  Dirk Bequé ,  Sandeep Suryanarayana Kaushik ,  Dattesh Dayanand Shanbhag

IPC: G01T1/164 ,  A61B6/00 ,  G01T1/29 ,  G01T1/17 ,  A61B6/03 ,  A61B6/02 ,  G06T7/00 ,  G06T3/40 ,  G06T11/00

CPC classification number: A61B6/5235 ,  A61B6/025 ,  A61B6/032 ,  A61B6/037 ,  A61B6/4085 ,  A61B6/461 ,  A61B6/502 ,  A61B6/5205 ,  G01T1/1647 ,  G01T1/17 ,  G06T11/006 ,  G06T2211/424 ,  G06T2211/432

Abstract: Aspects of the invention relate to generating an emission activity image as well as an emission attenuation map using an iterative updation based on both the raw emission projection data and the raw radiography projection data, and an optimization function. The outputs include an optimized emission activity image, and at least one of an optimized emission attenuation map or an optimized radiography image. In some aspects an attenuated corrected emission activity image is obtained using the optimized emission activity image, and the optimized emission attenuation map.

公开(公告)号：US09254111B2

公开(公告)日：2016-02-09

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

IPC: A61B6/00 ,  A61B5/00 ,  A61B5/055 ,  A61B6/02 ,  A61B6/04 ,  A61B6/03

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，每个床位置处的扫描持续时间，以及是否在一个或多个床位置使用呼吸门控。

公开(公告)号：US20150276906A1

公开(公告)日：2015-10-01

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

IPC: G01R33/56 ,  G01R33/48 ,  G01R33/561

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。