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- W3029821672 abstract "Medical images which carry important information about the human body most times appear withlow visual quality; hence, it is often strenuous to detect and extract adequate information from them.Information extracted can lead to right or wrong diagnosis and prognosis. To obtain optimumimages for accurate diagnosis therefore, these images must pass through an enhancement processwhich consists of a series of methods that aim at improving their visual assessment. MagneticResonance Imaging (MRI) produces most of the important medical images of which the raw dataacquired can be corrupted by several types of noise and artefacts. This paper aims at improving thequality of abdominal MR images in the spatial domain. The method began with the application ofthe median filter for the noise reduction. Thereafter, the filtered image was further enhanced withHistogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and aproposed technique; the Power Law Transformed Adaptive Histogram Equalization (PLTAHE). Asharpening effect was applied using the unsharp mask filter for the result. The results of the appliedtechniques were compared side by side for the best enhancement effect, and an objective assessmentwas carried out on by evaluating the Peak Signal to Noise Ratio (PSNR) and Structural SimilarityIndex Measure (SSIM) values of the images. A subjective assessment was also carried out with aradiologist who gave a better perception to the effects of the enhancement techniques on the samplesstudied. The results of the study showed that the proposed technique Power Law TransformedAdaptive Histogram Equalization produced the best contrast for the analysed MR images." @default.
- W3029821672 created "2020-06-05" @default.
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- W3029821672 date "2019-12-24" @default.
- W3029821672 modified "2023-09-24" @default.
- W3029821672 title "ENHANCEMENT TECHNIQUES FOR ABDOMINAL ORGANS’ MAGNETIC RESONANCE IMAGING" @default.
- W3029821672 hasPublicationYear "2019" @default.
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