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Deblurring method of cone-beam CT based on line integration

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: 2019-01-01
ZHEJIANG UNIV
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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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  • Deblurring method of cone-beam CT based on line integration
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Embodiment

[0080] 1. In the three embodiments, set the step size parameter to satisfy: st‖K‖ 2 =1.

[0081] 2. In the three embodiments, set the hyper-relaxation parameter: p=1.7.

[0082] 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 .

[0083] 4. In the above technical scheme, the original cone-beam CT image obtained directly by 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.

[0084] 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 calculat...

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Abstract

The invention discloses a cone beam CT deblurring method based on line integration. Firstly, logarithmic transformation is performed on the original projection to obtain the line integral data. Then adeconvolution model based on the point spread function of the system is established in the on-line integration domain, which includes the data fidelity term to ensure the data integrity and the regularization term to control the noise intensity. The convolution kernel comes from the point spread function of the imaging system, and the rotationally symmetric one-parameter Gaussian function is usedas the model. Finally, the deconvolution line integral data is used to reconstruct the high resolution CT image. The invention uses two-dimensional deconvolution based on line integration to solve the problem of blurring effect, and rapidly and effectively improves the spatial resolution of the cone beam CT image.

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