Background Within this manuscript a noise filtering technique for magnetic resonance image stack is presented. Magnetic resonance images are usually affected by artifacts and noise due to several reasons. Several denoising approaches have been proposed in literature, with different trade-off between computational complexity, regularization and noise reduction. Most of them is...
Within this manuscript a noise filtering technique for magnetic resonance image stack is presented. Magnetic resonance images are usually affected by artifacts and noise due to several reasons. Several denoising approaches have been proposed in literature, with different trade-off between computational complexity, regularization and noise reduction. Most of them is supervised, i...
Sorrentino,2,3 Rosaria Rucco,3,4 Francesca Jacini,1,5 Arianna Polverino,5 Roberta Minino,1 Matteo Pesoli,1 Fabio Baselice,2 Antonietta Sorriso,2 Giampaolo Ferraioli,4 Giuseppe Sorrentino,1,3,5 and Laura
Sorrentino,2,3 Rosaria Rucco,3,4 Francesca Jacini,1,5 Arianna Polverino,5 Roberta Minino,1 Matteo Pesoli,1 Fabio Baselice,2 Antonietta Sorriso,2 Giampaolo Ferraioli,4 Giuseppe Sorrentino,1,3,5 and Laura
It has been suggested that the practice of meditation is associated to neuroplasticity phenomena, reducing age-related brain degeneration and improving cognitive functions. Neuroimaging studies have shown that the brain connectivity changes in meditators. In the present work, we aim to describe the possible long-term effects of meditation on the brain networks. To this aim, we...