An MRI Inhomogeneous Field Estimation Method Based on Image Gradient Fitting
A non-uniform field and image gradient technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to guarantee alignment, large fitting errors, and inability to extract fitting points, avoiding errors and eliminating errors. , the effect of improving the estimation accuracy
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[0048] Step 1, denoising processing
[0049] The original NMR image is obtained by Fourier transform of the collected k-space signal. Noise due to equipment and environment. The present invention is gradient-based non-uniform field estimation, and the gradient is very sensitive to noise. Before the estimation, the original image should be denoised. The preprocessing also includes the contour extraction of the image, removing the background area of the edge and some low signal-to-noise ratio areas.
[0050] Step 2. Calculate the gradient field
[0051] Estimating an inhomogeneous field requires a fitting operation on the gradient values in the region. Therefore, the gradient field of the image is first calculated, including the x-direction gradient and the y-direction gradient. The image gradient is generally obtained by difference method or sobel operator. In order to reduce noise interference, the present invention proposes a new gradient operator based on Gaussian ke...
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