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| Correction of Inhomogeneous MR Images Using Multiscale Retinex
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International Journal of Image Processing (IJIP) |
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Volume: 1 Issue: 1 |
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Pages: 1-16 |
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Publication
Date: June 2007 |
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ISSN
(Online): 1985-2304 |
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Pages |
1 - 16 |
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Author(s) |
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Published
Date |
30-06-2007 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
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| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Magnetic resonance imaging, Surface coils, Single-scale Retinex, multiscale retinex, Peak signal-to-noise ratio, Contrast-to-noise ratio |
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| A new method for enhancing the contrast of magnetic resonance images (MRI) by
retinex algorithm is proposed. It can correct the blurrings in deep anatomical
structures and inhomogeneity of MRI. Multiscale retinex (MSR) employed SSR
with different weightings to correct inhomogeneities and enhance the contrast of
MR images. The method was assessed by applying it to phantom and animal
images acquired on MRI scanner systems. Its performance was also compared
with other methods based on two indices: (1) the peak signal-to-noise ratio
(PSNR) and (2) the contrast-to-noise ratio (CNR). Two indices, including PSNR
and CNR, were used to evaluate the performance of correction of inhomogeneity
in MR images. The PSNR/CNR of a phantom and animal images were 11.8648
dB/2.0922 and 11.7580 dB/2.1157, respectively, which were higher or very close
to the results of wavelet algorithm. The retinex algorithm successfully corrected a
nonuniform grayscale, enhanced contrast, corrected inhomogeneity, and clarified
the deep brain structures of MR images captured by surface coils and
outperformed histogram equalization, local histogram equalization, and a waveletbased
algorithm, and hence may be a valuable method in MR image processing. |
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| Wen-Hung Chao : Colleagues
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| Chien-Wen Cho : Colleagues
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| Yen-Yu Shih : Colleagues
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| You-Yin Chen : Colleagues
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| Chen Chang : Colleagues
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