Abstract
this paper presents a comparative study of different denoising techniques applied to functional magnetic resonance imaging (fMRI) data. The performance of these techniques was investigated using a simulated fMRI time series data with a set of predefined noise levels. The performance of these techniques was evaluated with respect to two quantitative measures; signal-to-noise ration (SNR), and shape preservation. As a result of the comparative study it has been found that denoising using Wavelet transform with reverse biorthogonal basis functions provides the best performance among all denoising techniques.
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© 2007 International Federation for Medical and Biological Engineering
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Mohamed, M.A., Abou-Chadi, F., Ouda, B.K. (2007). Denoising Functional MRI: A Comparative Study of Denoising Techniques (2D). In: Magjarevic, R., Nagel, J.H. (eds) World Congress on Medical Physics and Biomedical Engineering 2006. IFMBE Proceedings, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36841-0_219
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DOI: https://doi.org/10.1007/978-3-540-36841-0_219
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36839-7
Online ISBN: 978-3-540-36841-0
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