Image reconstruction method and device and electronic equipment

An image reconstruction and algorithm technology, which is applied in the field of image processing to achieve the effect of solving ring noise morphological artifacts and improving image quality

Active Publication Date: 2021-07-13
SAINUO WEISHENG SCI & TECH BEIJING
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[0005] The present application provides an image reconstruction method, device and electronic equipment to at least solve...

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  • Image reconstruction method and device and electronic equipment
  • Image reconstruction method and device and electronic equipment
  • Image reconstruction method and device and electronic equipment

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Embodiment Construction

[0036] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0037] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such...

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Abstract

The invention provides an image reconstruction method and device and electronic equipment, and the method comprises the steps: obtaining two-side neighbor projection data and two-side secondary neighbor projection data of a target pixel; based on the two-side neighbor projection data and the two-side secondary neighbor projection data, calculating target pixel projection data through a four-point self-adaptive resampling algorithm, wherein in the four-point self-adaptive resampling algorithm, the projection data are determined in a frequency domain through characteristics; performing image reconstruction based on the target pixel projection data; calculating target pixel projection data by adopting a four-point self-adaptive resampling algorithm based on the two-side neighbor projection data and the two-side secondary neighbor projection data. Moreover, the resampling algorithm is determined based on the quantitative feedback of the passing characteristics of the projection data in the frequency domain, the problem of inconsistent noise passing characteristics caused by interpolation can be solved, common annular noise form artifacts in 3D back projection are solved on the premise that the layer thickness and other image effective information are not changed, and the image quality is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image reconstruction method, device and electronic equipment. Background technique [0002] Back projection (back projection) is one of the main processes in CT image reconstruction algorithms. The existing back projection methods are generally divided into two categories, one is ray-driven back projection method (ray-driven backprojection), and the other is based on The pixel-driven backprojection method (pixel-drivenbackprojection), but in practice, considering the simplicity and ease of implementation, the pixel-based backprojection method is often used. [0003] The two most commonly used interpolation methods in the traditional pixel-based back-projection method are the nearest neighbor interpolation method and the linear interpolation method, where the nearest neighbor interpolation method corresponds to the nearest neighbor detector unit ray of the in...

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Application Information

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IPC IPC(8): G06T11/00
CPCG06T11/005G06T11/006
Inventor 张笛儿
Owner SAINUO WEISHENG SCI & TECH BEIJING
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