公开(公告)号：US11651584B2

公开(公告)日：2023-05-16

申请号：US16161061

申请日：2018-10-16

Applicant: General Electric Company

Inventor： Rahul Venkataramani ,  Rakesh Mullick ,  Sandeep Kaushik ,  Hariharan Ravishankar ,  Sai Hareesh Anamandra

IPC: G06V10/764 ,  G06N20/00 ,  G06F16/583 ,  G06F16/51 ,  G06V10/776 ,  G06V10/82 ,  G06V10/94

CPC classification number: G06V10/764 ,  G06F16/51 ,  G06F16/5838 ,  G06N20/00 ,  G06V10/776 ,  G06V10/82 ,  G06V10/94

Abstract: A system is presented. The system includes an acquisition subsystem configured to obtain images corresponding to a target domain. Moreover, the system includes a processing subsystem in operative association with the acquisition subsystem and including a memory augmented domain adaptation platform configured to compute one or more features of an input image corresponding to a target domain, identify a set of support images based on the features of the input image, where the set of support images corresponds to the target domain, augment an input to a machine-learnt model with a set of features, a set of masks, or both corresponding to the set of support images to adapt the machine-learnt model to the target domain, and generate an output based at least on the set of features, the set of masks, or both. Additionally, the system includes an interface unit configured to present the output for analysis.

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.

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

IPC: G06T7/00 ,  A61B8/13 ,  A61B6/03 ,  G06T5/20 ,  A61B5/055

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。