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Investigations of the MRI Images using Aura Transformation

Author(s): Parveen Lehana | Pawanesh Abrol | Saleem Khan | Sandeep Arya | Swapna Devi | Satnam Singh

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 3;
Issue: 1;
Start page: 95;
Date: 2012;
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Keywords: MRI | image segmentation | brain tumor | aura transition | image processing.

The quality of biomedical images can be enhanced by using several transformations reported in the literature. The enhanced images may be useful to extract the exact information from these scans. In recent times, researchers exploited various mathematical models to smoothen and enhance the quality of the biomedical images with an objective to extract maximum useful medical information related to functioning or malfunctioning of the brain. Both real and non-real time based techniques have been explored and reported for this purpose. In this proposed work, aura based technique has been investigated for enhancing the quality of magnetic resonance imaging (MRI) scans of the human brain. The aura transformation based algorithm with some modifications has been developed and the performance of the algorithm is evaluatedon a series of defected, diseased, and normal MRI brain images.

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