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Three-dimensional medical image super-resolution reconstruction method and device

A super-resolution reconstruction and medical image technology, applied in the field of computer image processing, can solve problems such as poor effect

Pending Publication Date: 2020-10-27
BEIJING ANDE YIZHI TECH CO LTD
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Problems solved by technology

[0003] In related technologies, in the difference-based upsampling method, the reconstructed image does not bring more additional information; in the method based on supervised learning, for 3D medical images with low inter-plane resolution, the reconstruction effect is relatively low. Difference

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  • Three-dimensional medical image super-resolution reconstruction method and device

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Embodiment Construction

[0046] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0047] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0048] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...

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Abstract

The invention relates to a three-dimensional medical image super-resolution reconstruction method and device, and the method comprises the steps: obtaining an original slice sequence in a to-be-reconstructed three-dimensional medical image; inputting original slices in the original slice sequence into a deep learning model to obtain a generated slice sequence among the original slices; and obtaining a reconstructed three-dimensional medical image according to the generated slice sequence and the original slice sequence, the resolution of the reconstructed three-dimensional medical image beinghigher than the resolution of the to-be-reconstructed three-dimensional medical image. According to the invention, in an image acquisition process, acquisition time and cost can be effectively saved,hardware requirements of acquisition equipment are reduced, and a high-resolution three-dimensional medical image with an ideal effect can still be reconstructed for an acquired image with relativelylow inter-plane resolution; and meanwhile, a doctor can obtain more information from the obtained generated slice sequence, so that clinical medical diagnosis is better assisted.

Description

technical field [0001] The present disclosure relates to the technical field of computer image processing, in particular to a method and device for super-resolution reconstruction of a three-dimensional medical image. Background technique [0002] Medical images are widely used in clinical medical aided diagnosis, limited by factors such as acquisition time and hardware conditions, the resolution between the planes of the usually collected 3D medical images is worse than the resolution within the plane. Therefore, super-resolution reconstruction is required to improve the resolution of 3D medical images. [0003] In related technologies, in the difference-based upsampling method, the reconstructed image does not bring more additional information; in the method based on supervised learning, for 3D medical images with low inter-plane resolution, the reconstruction effect is relatively low. Difference. Contents of the invention [0004] In view of this, the present disclosu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04G06N3/08G06K9/62
CPCG06T3/4053G06T3/4046G06N3/084G06N3/045G06F18/22G06F18/24
Inventor 吴振洲徐奕宁
Owner BEIJING ANDE YIZHI TECH CO LTD
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