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A low-dose CT reconstruction method based on dual-domain interweaving network

An interweaving network and low-dose technology, applied in the fields of medical image processing and computer vision, can solve the problems of unadjustable results and poor processing of noise, and achieve the effect of easy construction

Active Publication Date: 2022-07-26
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0005] Since the existing method does not have a good combination for the sinogram, which makes the noise generated in the process of reconstructing the image from the sinogram cannot be well processed, and the result is not adjustable, the present invention overcomes the shortcomings of the prior art, Provides a low-dose CT reconstruction method based on a dual-domain interleaving network to achieve adjustable reconstruction results, and can generate reconstruction results with different denoising levels through one network

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Embodiment Construction

[0052] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be further described in detail with reference to the embodiments and the accompanying drawings. 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. The technical solutions of the present invention will be described in detail below with reference to the embodiments and the accompanying drawings, but the protection scope is not limited by this.

[0053] A low-dose CT reconstruction method with adjustable reconstruction results based on a dual-domain interweaving network, the specific network structure is as follows figure 1 As shown, method implementation includes the following steps:

[0054] The first step is to prepare the training data:

[0055] The training data includes two parts: Osaka lung disease data...

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Abstract

The invention relates to a low-dose CT reconstruction method based on a dual-domain interweaving network, belonging to the fields of medical image processing and computer vision; the method takes a low-dose CT image and a corresponding sinusoid as input, The branch, the separate training of the fusion branch, uses the learnable parameters to balance the distortion and perception; the method of the present invention is simple in procedure, easy to implement, and can obtain reconstruction results more in line with the doctor's diagnosis needs in an end-to-end manner; the present invention A network can generate adjustable reconstruction results, and the corresponding reconstruction results can be freely selected for CT images with uneven noise distribution, and while ensuring the overall perception effect, the CT image lesion texture and organ structure are protected.

Description

technical field [0001] The invention belongs to the technical field of medical image processing and computer vision, and in particular relates to a low-dose CT reconstruction method with adjustable reconstruction results based on a dual-domain interweaving network. Background technique [0002] At this stage, computed tomography (CT, Computed Tomography) has become a common imaging method to assist diagnosis. However, in order to ensure that the CT images are sufficiently clear, the radiation risk brought by high-dose radiation to the human body cannot be underestimated. Most of the equipment is designed to reduce the risk of cancerous or genetic damage that may be caused by high doses of radiation, which led to the emergence of low-dose CT. How to solve the stronger noise and more artifacts caused by reducing the radiation dose has become a challenging problem. [0003] Existing methods can be summarized into the following three categories: (1) Filtering and reconstructio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00G06N3/04G06N3/08
CPCG06T11/005G06N3/08G06N3/045
Inventor 李窦哲李灯熬赵菊敏赵红燕李付江李朋伟
Owner TAIYUAN UNIV OF TECH
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