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Three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means

A non-local mean, three-dimensional technology, applied in the field of image processing, can solve problems such as few scholars

Inactive Publication Date: 2015-12-23
SHANDONG NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Many researchers at home and abroad have also done related research on the problem of parameter selection, but there are not many scholars who apply it to CBCT images

Method used

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  • Three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means
  • Three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means
  • Three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means

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Embodiment Construction

[0043] The present invention will be described below with reference to the drawings and specific embodiments of the specification:

[0044] Such as figure 1 As shown, the three-dimensional CBCT image denoising method based on improved non-local mean of the present invention includes:

[0045] Step (1): Obtain the projection data of 3D CBCT images from different angles. The projection data of 3D CBCT images at each angle corresponds to the projection data of a set of 3D CBCT images. Obtain the edge information of the 3D CBCT image and classify the 3D CBCT. Image background sub-block and texture sub-block;

[0046] Step (2): Calculate the noise standard deviation of the background area of ​​the three-dimensional CBCT image and the mean value of the average gradient value of the texture sub-blocks in the three-dimensional CBCT image respectively;

[0047] Step (3): According to the edge information of the three-dimensional CBCT image, the noise standard deviation of the background area...

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Abstract

The present invention discloses a three-dimensional CBCT (cone-beam computed tomography) image denoising method on the basis of improved nonlocal means. The three-dimensional CBCT image denoising method on the basis of the improved nonlocal means comprises: obtaining projection data of three-dimensional CBCT images having different angles, projection data of a three-dimensional CBCT image having an angle corresponding to a set of projection data of the three-dimensional CBCT images, calculating edge information of the three-dimensional CBCT images, and dividing background subblocks and texture subblocks of the three-dimensional CBCT images; respectively calculating a noise standard deviation of a background region and a mean of the average gradient values of the texture subblocks in the three-dimensional CBCT images; respectively calculating filtering intensity values of the projection data of the three-dimensional CBCT images having different angles according to the edge information, the noise standard deviation of the background region and the mean of the average gradient values of the texture subblocks in the three-dimensional CBCT images; and searching for other pixel points in the three-dimensional CBCT images similar to filtered pixel points, and calculating the similarity among other pixel points similar to the filtered pixel points to achieve the three-dimensional CBCT image denoising according to the filtering intensity values of the projection data of the three-dimensional CBCT images having different angles.

Description

Technical field [0001] The present invention relates to the field of image processing, in particular to a three-dimensional CBCT image denoising method based on improved non-local mean. Background technique [0002] During radiotherapy, due to breathing, peristalsis of tissues and organs, daily positioning errors, target area contraction, etc., have a greater impact on the treatment plan, and various imaging equipment need to be used to monitor the tumor in real time, so that the irradiation field closely follows Target area is used to achieve precise treatment, so Image Guided Radiation Therapy (IGRT) has become the most advanced radiation treatment method today. Cone-Beam Computed Tomography (CBCT) has been widely used in image-guided radiotherapy systems with its superior performance, and its application is mainly reflected in the following two aspects: First, by acquiring three-dimensional CBCT reconstruction The deviation between the image and the planned CT image of the ra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 李登旺谷文静王公堂孙倩陈进虎李洪升尹勇
Owner SHANDONG NORMAL UNIV
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