Neural-network-based artifact correction method and apparatus of CT image

A neural network and CT image technology, applied in the medical field, can solve problems such as complicated reasons and inaccurate correction of artifacts, and achieve the effects of improving quality, accuracy and comprehensiveness

Active Publication Date: 2018-04-20
SHENZHEN ANKE HIGH TECH CO LTD
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Problems solved by technology

However, because the causes of artifacts in CT reconstruction results are quite complex, CT images can carry one or more artifac

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  • Neural-network-based artifact correction method and apparatus of CT image
  • Neural-network-based artifact correction method and apparatus of CT image
  • Neural-network-based artifact correction method and apparatus of CT image

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[0044] The present invention provides a method and device for artifact correction of CT images based on neural network. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0045]It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of stated features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components and / or groups thereof. It will be understood that when we refer to an element as being "connected" or "coupled" to another element, it can be directly connected or coupled to the ...

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Abstract

The invention discloses a neural-network-based artifact correction method and apparatus of a CT image. The method comprises: preprocessing of CT data is carried out to generate a database carrying outan input sample of at least one kind of artifact; a neural network for correcting the at least one kind of artifact is constructed; the input sample is inputted into the neural network and the neuralnetwork is trained by a preset objective function to obtain a trained neural network; and a to-be-processed CT image is inputted into the trained neural network to carry out artifact identification and correction, and a corrected CT image and an identified artifact image are outputted. On the basis of deep learning, the CT image including multiple kinds of artifacts is processed by the neural network, so that the quality of the CT image is improved.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a neural network-based artifact correction method and device for CT images. Background technique [0002] CT (computed tomography imaging system) uses X-rays to scan objects to obtain projection data, and process these projection data through tomographic reconstruction algorithms to obtain the object's section and three-dimensional density information to achieve the purpose of non-destructive testing. It has important applications in medical diagnosis, industrial non-destructive testing and other fields. In the field of medical diagnosis, CT has become the three key medical imaging systems together with magnetic resonance (MRI), positron emission tomography and CT combination system (PET / CT) since its advent in 1970. Compared with other imaging methods, CT reconstruction can quickly obtain high-resolution images, the contrast accuracy of the reconstruction results can be contro...

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Application Information

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IPC IPC(8): G06T5/00G06N3/08
CPCG06T5/003G06T2207/20084G06T2207/20081G06T2207/10081
Inventor 曾凯吴小页徐丹
Owner SHENZHEN ANKE HIGH TECH CO LTD
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