21 July 2017 A brain MRI bias field correction method created in the Gaussian multi-scale space
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042034 (2017) https://doi.org/10.1117/12.2281545
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
A pre-processing step is needed to correct for the bias field signal before submitting corrupted MR images to such image-processing algorithms. This study presents a new bias field correction method. The method creates a Gaussian multi-scale space by the convolution of the inhomogeneous MR image with a two-dimensional Gaussian function. In the multi-Gaussian space, the method retrieves the image details from the differentiation of the original image and convolution image. Then, it obtains an image whose inhomogeneity is eliminated by the weighted sum of image details in each layer in the space. Next, the bias field-corrected MR image is retrieved after the Υ correction, which enhances the contrast and brightness of the inhomogeneity-eliminated MR image. We have tested the approach on T1 MRI and T2 MRI with varying bias field levels and have achieved satisfactory results. Comparison experiments with popular software have demonstrated superior performance of the proposed method in terms of quantitative indices, especially an improvement in subsequent image segmentation.
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Mingsheng Chen, Mingxin Qin, "A brain MRI bias field correction method created in the Gaussian multi-scale space", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042034 (21 July 2017); doi: 10.1117/12.2281545; https://doi.org/10.1117/12.2281545
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