Spatial-domain filtering-based CBCT (Cone Beam Computed Tomography) panoramic image sharpening method

A spatial filtering and panorama technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of fast calculation speed, slow calculation speed, complex frequency domain filtering algorithm, etc., achieve fast calculation speed, simple algorithm, and improve contrast. Effect

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Problems solved by technology

[0005] Purpose of the invention: The present invention proposes a CBCT panorama image based on spatial filtering to solve the problems of complex frequency-domain filtering algorithm, slow calculation speed, slight ringing effect, and inability to satisfy high-resolution and low-contrast CBCT images in the prior art Sharpening enhancement method, this method effectively improves the contrast of the CBCT image, especially the soft tissue part in the CBCT image has a better enhancement effect, and the algorithm is simple and the operation speed is fast

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  • Spatial-domain filtering-based CBCT (Cone Beam Computed Tomography) panoramic image sharpening method
  • Spatial-domain filtering-based CBCT (Cone Beam Computed Tomography) panoramic image sharpening method
  • Spatial-domain filtering-based CBCT (Cone Beam Computed Tomography) panoramic image sharpening method

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with specific embodiment:

[0020] Such as figure 1 Shown flow chart of the present invention, a kind of CBCT panorama image sharpening enhancement method based on spatial filtering according to the present invention comprises the following steps:

[0021] (1) Read an image f(x, y);

[0022] (2) Use a Gaussian low-pass filter with radius R and standard deviation σ to convolve f(x, y) to obtain a smooth image

[0023] (3) Subtract the blurred image from the original image to generate a template

[0024] (4) Add a weight part of the template g(x, y)=f(x, y)+k*g to the original image mask (x,y).

[0025] The value of the standard deviation σ described in the above-mentioned step (2) is 20, and the Gaussian low-pass filter formula in the step (2) is

[0026]

[0027] Such as figure 2 and image 3 From the comparison diagram shown, it can be found that after enhanced by the method of the pres...

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Abstract

The invention discloses a spatial-domain filtering-based CBCT panoramic image sharpening method, which includes the following steps: firstly, an image is read, moreover, a Gaussian low-pass filter, the radius of which is R and the standard deviation of which is Sigma, is used for carrying out convolution on the image, so that a smooth image is obtained, blurred images are then removed from the original image, so that a template is generated, and finally, a weighted part of the template is added on the original image. The contrast of the CBCT image is increased by the method, particularly, the soft tissue parts in the CBCT image are effectively enhanced, moreover, the algorithm is simple, the computing speed is high, a satisfactory result can be obtained by adjusting two parameters, and thereby effective help is offered to clinical applications for doctors.

Description

technical field [0001] The invention relates to a CBCT image processing method, in particular to a method for sharpening and enhancing a CBCT panorama image based on spatial filtering. Background technique [0002] Cone beam (cone beam) CT is a three-dimensional imaging device that has developed rapidly in recent years and has the most advantages in dental clinics. CBCT uses flat-panel detectors and cone-beam X-rays to perform rotational scans around the object (180-360 times, depending on the product). The obtained two-dimensional projection image is used in the computer to use the cone beam CT reconstruction algorithm to obtain three-dimensional volume data. The biggest difference between it and spiral CT is that its projection data is two-dimensional, and it is three-dimensional after reconstruction, while the projection data of spiral CT is one-dimensional, projection data is two-dimensional, and three-dimensional volume data needs to be scanned continuously. 2D slices...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 徐建军王远军聂生东
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