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Cone beam CT deblurring method based on line integral

A line integration and deblurring technology, applied in the field of medical imaging, can solve problems such as difficulty in adding data acquisition processes, high computational complexity, and complex mathematical models, and achieve the effect of improving spatial resolution

Active Publication Date: 2022-02-18
ZHEJIANG UNIV
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  • Application Information

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Problems solved by technology

[0004] The problems of the prior art to be solved by the present invention are: 1. The mathematical model is complex, 2. For three-dimensional data, the calculation complexity is high, 3. It is difficult to join the existing data acquisition process

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  • Cone beam CT deblurring method based on line integral
  • Cone beam CT deblurring method based on line integral
  • Cone beam CT deblurring method based on line integral

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Embodiment

[0079] 1. In the three embodiments, set the step size parameter to satisfy: st||K|| 2 =1.

[0080] 2. In the three embodiments, set the hyper-relaxation parameter: p=1.7.

[0081] 3. In the digital phantom data embodiment, the regularization term parameter γ=2×10 -4 ; In the physical motif data embodiment, the regularization term parameter γ=3.5×10 -4 ; In the mouse data example, the regularization term parameter γ=2×10 -4 .

[0082] 4. In the above technical scheme, the original cone-beam CT image obtained directly by the FDK algorithm is as follows: figure 2 , 3 (b) in and Figure 4 In (b1)-(b4), it can be found that the structure edges in the figure are affected by the blur effect, and the spatial resolution is low.

[0083] 5. In the above-mentioned technical solution, the result obtained by using the deblurring algorithm in the present invention for the digital phantom data, compared with the original image, the spatial resolution is increased by 21.4%, and the ca...

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Abstract

The invention discloses a cone beam CT deblurring method based on line integration. This method first performs logarithmic transformation on the original projection to obtain the line integral data; then establishes a deconvolution model based on the system point spread function in the online integral domain, including the data fidelity item to ensure the integrity of the data and the regularization item to control the noise intensity , the convolution kernel comes from the point spread function of the imaging system, and a rotationally symmetric single-parameter Gaussian function is used as the model; finally, the deconvoluted line integral data is used for three-dimensional analytical reconstruction to obtain a high-resolution CT image. The present invention uses two-dimensional deconvolution based on line integrals to solve the blur effect problem, and rapidly and effectively improves the spatial resolution of cone-beam CT images.

Description

technical field [0001] The invention belongs to the technical field of medical imaging, in particular to a cone beam CT deblurring method based on line integration. Background technique [0002] In recent years, cone beam CT has played an important role in microstructural imaging due to its fast acquisition speed and good image isotropy. However, physical factors such as the limited size of the X-ray light source, the resolution of the flat panel detector, and the photon diffusion effect of the scintillator lead to the blurring effect in the cone-beam CT image, which seriously affects the spatial resolution of the image and reduces the spatial recognition of microstructures. [0003] It is difficult for existing projection domain deblurring algorithms to completely and accurately simulate the blurring effect of the entire system, and the constructed physical model is complex and difficult to solve. In contrast, the mathematical model of the image domain deblurring algorithm...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T17/00
CPCG06T17/00G06T5/73
Inventor 牛田野龚书滔江阳康罗辰
Owner ZHEJIANG UNIV