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Abstract #1459

Adaptive Magnetic Resonance Image signal enhancement using squared eigenfunctions of the Schrodinger operator

Abderrazak Chahid1, Hacene Serrai2, Eric Achten2, and Taous-Meriem Laleg-Kirati1

1Computer, Electrical and Mathematical Science and Engineering (CEMSE) division, King Abdullah University of Sciences and Engineering (KAUST), Thuwal, Saudi Arabia, 2Department of Radiology, University of Gent, Gent, Belgium

The main of challenge of Magnetic Resonance Imaging (MRI) is dealing with high levels of noise which may corrupt the image especially since the noise is almost correlated with the image details. In this regard, we propose a new MRI enhancement method to overcome this limitation. The proposed MRI enhancement method relies on square sub-images enhancement depending on the noise level in each position using spatial adaptation of the Semi-Classical Signal Analysis (SCSA) method, where an enhancement parameter h is subject to a Gaussian distribution. The results show significant improvement in noise removal and preserving small details in the image.

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