A regularization-based non-uniformity correction method for mri images
A non-uniformity correction and non-uniform technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of estimating non-uniform field errors, poor universality, and difficulty in determining the frequency threshold of low-pass filtering, etc., to achieve accurate non-uniform Uniform field estimation, increasing the fitting order, and reducing the effect of boundary effects
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[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0053] The present invention improves the low-pass filtering method, selects a part of the area with little difference in gray value for low-pass filtering to obtain the initial estimate of the non-uniform field, and then extrapolates through a regularized polynomial fitting method, Obtain an inhomogeneous field estimate of the full image. The specific process is as follows:
[0054] 1. Determination of the area of interest
[0055] The method of directly filtering the image is likely to cause boundary effects, that is, the non-uniformity distortion in the high-contrast area, which will easily cause large errors in the subsequent interpolation, but in fact most of the data in the interpolation fitting. is redundant and unnecessary. Therefore, in the present invention, we avoid boundary effects by selecting some areas with close gray values...
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