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Smoothing filters in synthetic cerebral magnetic resonance images: A comparative study
(Sociedad Latinoamericana de Hipertensión, 2018)
This paper presents the evaluation of two computational
techniques for smoothing noise that might be present
in synthetic images or numerical phantoms of magnetic
resonance (MRI). The images that will serve as the databases
(DB) during the course of this evaluation are available
freely on the Internet and are reported in specialized
literature as synthetic images called BrainWeb. The
images that belong to this DB were contaminated with
Rician noise, this being the most frequent type of noise
in real MRI images. Also, the techniques that ...