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Image denoising method based on projection sequential data similarity

A technology of projection data and sequence data, applied in the field of radiation imaging

Active Publication Date: 2013-06-12
TSINGHUA UNIV +1
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Problems solved by technology

Currently, no algorithm for denoising CBCT using projected sequence similarity has been proposed

Method used

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  • Image denoising method based on projection sequential data similarity
  • Image denoising method based on projection sequential data similarity
  • Image denoising method based on projection sequential data similarity

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Embodiment Construction

[0048] For the above-mentioned technical problems to be solved, the specific implementation method of its denoising method is as follows:

[0049] a) In the CBCT projection sequence, select a piece of projection data P to be denoised i , and select N pieces of projection data P i-N ......P i+N . Generally, the choice of N should not be too large, because as the distance gradually increases, the similarity between the projection data will decrease rapidly, and the noise reduction effect will not be greatly improved. At the same time, as N increases, the calculation amount also increases.

[0050] b) After selecting a suitable projection data set, start to denoise the projection P i Perform pixel-by-pixel denoising.

[0051] c) x is the projection P to be denoised i A pixel in . First, an image block v(x) of size n×n centered on x is selected, and a search area of ​​size m×m is selected. The search area should be larger than the size of the image block, and the maximum c...

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Abstract

The invention provides an image denoising method specific to cone beam computed tomography (CBCT) and relates to the technical field of radiation imaging. An area similar to the projection data is searched in adjacent projection data (similarity is calculated and determined through SSIM) specific to each pixel to be denoised and neighbourhood of the pixel in CBCT projection data according to data redundancy of the projection data, weighting average calculation is carried out on the pixel-to-be-denoised by utilizing the data in the similar areas so as to effectively reduce noises of the projection data, and three-dimensional reconstruction is preformed after denoising process is finished. The method is characterized by utilizing high similarity and data redundancy of the adjacent projection data. Compared with a traditional image denoising method, the image denoising method can achieve a better denoising effect, effectively improves the signal to noise ratio, and maintains image edge and detail information to the maximum extent. Meanwhile, the sequence image denoising concept is also applied to the filed of visible light imaging, such as the fields of denoising and the like.

Description

technical field [0001] The invention relates to the technical field of radiation imaging, in particular to a CBCT image denoising processing method. [0002] Cone beam (cone beam) CT is the most promising and practical device in today's oral and head imaging devices. The application of Cone beam (cone beam) CT has brought revolutionary changes to the diagnosis and treatment in the clinical field of oral cavity and head. The US ADA predicts that there will be at least a market of more than 100,000 units in the world in the next five years. Cone beam CT, as the name suggests, is a cone beam projection computerized tomography imaging device. Its principle is that the X-ray generator uses a low radiation dose (usually the tube current is 2-10 mA) to make a ring DR around the projection body ( digital projection). Then the data obtained in the "intersection" after digital projection around the projection body multiple times (180-360 times, depending on the product) is "reconstru...

Claims

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Application Information

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IPC IPC(8): G06T5/50
Inventor 张丽郝佳王永刚马晓昕张文宇邢宇翔李亮
Owner TSINGHUA UNIV
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