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X-ray Low-Dose CT Image Reconstruction Method Based on Weighted Alpha Divergence Constraint

A technology of alpha divergence and CT images, applied in image data processing, 2D image generation, instruments, etc., can solve the problems of complex statistical characteristics of noise, inability to accurately describe the distance of projection data, etc., and achieve the effect of suppressing image noise

Active Publication Date: 2016-01-20
SOUTHERN MEDICAL UNIVERSITY
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Problems solved by technology

Due to the complex noise statistical characteristics of X-ray low-dose CT projection data, the traditional least squares distance measure based on the Gaussian statistical distribution of projection data cannot accurately describe the distance between the original CT projection data and the restored projection data

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  • X-ray Low-Dose CT Image Reconstruction Method Based on Weighted Alpha Divergence Constraint
  • X-ray Low-Dose CT Image Reconstruction Method Based on Weighted Alpha Divergence Constraint
  • X-ray Low-Dose CT Image Reconstruction Method Based on Weighted Alpha Divergence Constraint

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Embodiment Construction

[0030] The specific implementation steps of the X-ray low-dose CT image reconstruction method based on weighted alpha divergence constraints disclosed by the present invention are as follows: figure 1 As shown, the details are as follows:

[0031] 1. Use CT imaging equipment to obtain low-dose CT projection data and corresponding imaging system parameters by using a scanning protocol that reduces tube current (mA) or tube voltage (kVp). The radiation dose is 1 / 10 to 1 / 20 of the standard dose. The above system parameters are the projection data noise variance corresponding to each detection channel of the CT detector under the scan protocol that reduces the tube current (mA) or tube voltage (kVp) Wherein i represents the position of the detector detection channel, and I represents the number of all detector detection channels;

[0032] 2. According to the noise statistical characteristics of low-dose CT projection data and the non-uniformity of the projection data noise varia...

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Abstract

The invention discloses an X-ray low-dose computerized tomography (CT) image reconstruction method based on weighting alpha divergence constraint. The method comprises the steps of utilizing a CT imaging device to acquire low-dose CT projection data and an imaging system parameter; adopting alpha divergence measure as distance measure between original projection data with noise and projection data to be recovered, calculating the weight factor of the alpha divergence measure according to the acquired system parameter, and constructing a projection data recovering model based on the alpha divergence constraint; carrying out an objective function solution on the constructed projection data recovering model and establishing an iterative algorithm format; for the acquired low-dose CT projection data, carrying out an iteration solution on the projection data recovering model by means of the established iterative algorithm format; and carrying out image reconstruction on recovered projection data. The X-ray low-dose CT image reconstruction method based on the weighting alpha divergence constraint plays important roles in both noise suppression and edge preservation.

Description

technical field [0001] The invention relates to a method for recovering projection data of tomographic images of medical images, in particular to an X-ray low-dose CT image reconstruction method based on weighted alpha divergence constraints. Background technique [0002] Although X-ray CT has been widely used in medical imaging diagnosis, excessive X-ray dose in scanning will cause unpredictable damage to the human body. Therefore, under the premise of ensuring the image quality, it has become an urgent need in the field of medical CT imaging to minimize the dose of X-rays used. [0003] Currently, reducing the tube current (mA) or tube voltage (kVp) in the scan is the most convenient and commonly used method to achieve low-dose CT imaging. However, the projection data collected under the condition of reduced tube current (mA) or tube voltage (kVp) contains a lot of noise, which makes the image reconstructed based on the traditional filter back projection method seriously ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00
Inventor 马建华边兆英田玲玲黄静梁正荣陈武凡
Owner SOUTHERN MEDICAL UNIVERSITY
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