A high-precision sparse-angle CT reconstruction method combined with sparse-induced dynamic guided filtering is proposed

A technology of guided filtering and sparse angle, applied in image data processing, instrumentation, calculation, etc., can solve problems such as inability to accurately reflect the characteristics of imaging organs, unfavorable accurate judgment, etc., achieve noise reduction and edge preservation and block artifact suppression significantly , high precision effect

Active Publication Date: 2019-03-26
HUBEI UNIV OF SCI & TECH
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Problems solved by technology

The PICCS method directly reconstructs the current image without processing the previously scanned CT image through the constructed objective function, so that there are obvious artifacts in places where the imaging positions are inco

Method used

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Embodiment Construction

[0028] The following are specific examples of the present invention to further describe the technical solutions of the present invention, but the present invention is not limited to these examples.

[0029] The high-precision sparse angle CT reconstruction method combined with sparse-induced dynamic guided filtering in this embodiment includes the following steps:

[0030] S1: The image obtained by analyzing and reconstructing the collected projection data by using the filtered back projection method is used as the initialization image, and POCS (convex set projection) is performed to obtain the filtered input image;

[0031] S2: Obtain the guide image by performing image gradient sparse regularization constraints on the filtered input image;

[0032] S3: fusing the guiding image and the filtered input image to obtain a guiding filtered image;

[0033] S4: Perform iterative reconstruction using the guided filter image as the initialization image.

[0034] Here, firstly, the ...

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Abstract

The invention provides a high-precision sparse angle CT reconstruction method combined with sparse induced dynamic guiding filter, belonging to the technical field of image processing of medical images. The high-precision sparse-angle CT reconstruction method combined with sparse-induced dynamic guiding filtering comprises the following steps: S1, taking the image obtained by analyzing and reconstructing the collected projection data as an initialization image and adopting POCS (Convex Set Projection) to obtain a filtered input image; S2, the sparse-angle CT reconstruction method comprises thefollowing steps: 2, carrying out image gradient sparse regularization constraint on that filtered input image to obtain a guide image; 3, fusing that guide image and the filter input image to obtaina guide filter image; S4: performing Iterative reconstruction on the bootstrap filter image. At first, that filter input image and the guide image are respectively obtained, and then the guide filterimage and the filter input image are fused to obtain the guide filter image, and the guide filter image is taken as an initial image for iterative reconstruction, which has remarkable effects in noisereduction, edge preservation and blocky artifact suppression.

Description

technical field [0001] The invention belongs to the technical field of image processing of medical images, and relates to a high-precision sparse-angle CT reconstruction method combined with sparse-induced dynamic guided filtering. Background technique [0002] X-ray CT scanning has been widely used in clinical medical imaging diagnosis, but excessive X-ray radiation dose during CT scanning may cause cancer risk. In order to reduce the damage to users, how to minimize the dose of X-rays has become one of the key technologies in the field of medical CT imaging. [0003] In order to reduce the dose of X-ray radiation, various hardware and software technologies can be used to reduce the dose of X-ray used in CT scanning. Common methods include reducing tube current, reducing X-ray exposure time, and reducing projection data. The reduction of projection data is sparse-angle CT scanning. [0004] Due to missing projection data in sparse-angle CT scans, image reconstruction is r...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T5/00
CPCG06T3/005G06T5/002G06T2207/10081
Inventor 余维王成祥聂小英曾德辉湛慧苗陈淑文
Owner HUBEI UNIV OF SCI & TECH
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