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Method and system for image registration using an intelligent artificial agent

A manual, registration technology, applied in image analysis, image enhancement, graphic image conversion, etc., can solve problems such as poor performance of non-convexity optimization

Active Publication Date: 2017-11-28
SIEMENS HEALTHCARE GMBH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Additionally, generic matching metrics are often non-convex for a given registration task, and generic optimizers typically perform poorly on non-convex optimization problems

Method used

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  • Method and system for image registration using an intelligent artificial agent
  • Method and system for image registration using an intelligent artificial agent
  • Method and system for image registration using an intelligent artificial agent

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Embodiment Construction

[0036] The present invention relates to the registration of medical images using intelligent artificial agents. Embodiments of the invention are described herein to give an intuitive understanding of the image registration method. Digital images often consist of digital representations of one or more objects (or shapes). Digital representations of objects are often described herein in terms of recognizing and manipulating objects. Such manipulations are virtual manipulations implemented in the computer system's memory or other circuitry / hardware. Accordingly, it should be understood that embodiments of the present invention may be implemented within a computer system using data stored within the computer system or available through a network system.

[0037] Image registration refers to the alignment of two or more images or the transformation of different images into a coordinate system. For example, medical image registration can be used to restore images from different p...

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Abstract

Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Description

[0001] This application claims U.S. Provisional Application No. 62 / 338,059, filed May 18, 2016, U.S. Provisional Application No. 62 / 344,125, filed June 1, 2016, and U.S. Provisional Application No. 62 / 401,977, filed September 30, 2016 interests, the disclosure of this patent application is incorporated herein by reference in its entirety. Background technique [0002] The present invention relates to registration of medical images, and more particularly computer-based automated medical image registration using intelligent artificial agents. [0003] Medical image registration is an important technology for image-guided therapy, automated diagnostic imaging, and machine-driven image understanding. The goal of image registration is to recover the correspondence between two or more medical images that may be acquired from different patients / subjects, the same patient at different time points, different medical imaging modalities, etc., in order to align or fuse the images . Ali...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06T7/38G06T3/00
CPCG06T7/38G06T7/337G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/10132G06T2207/10104G06T2207/10081G06T2207/10088G06T3/147G06T7/30A61B5/7267G06T7/0012
Inventor 廖芮S.格尔比克苗舜T.曼西张莉A.卡门B.乔治斯库P.德图尔内米尔D.科马尼丘F.C.格素J.克雷布斯V.K.辛格徐大光
Owner SIEMENS HEALTHCARE GMBH
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