Mr Francesco Sforazzini
Imaging Research Assistant, Monash Biomedical Imaging
BSc, University of Siena
MSc, University of Pisa
Tel: +61 3 9902 9783
Fax: +61 3 9902 9500
Mr. Francesco Sforazzini completed his Master degree in Medical Physics in Pisa in 2012, with a final thesis on methods for mapping the external B1 field in Magnetic Resonance Imaging (MRI) experiments. In the following two years he worked on functional MRI (fMRI) image analysis to unravel the functional connectivity in the mouse brain and its changes due to pathological conditions. He moved to Australia at the end of 2014, where he started working at the Monash Biomedical Imaging Centre (MBI) in March 2015. He was involved with the ASPirin in Reducing Events in the Elderly (ASPREE) project where he developed algorithms for the analysis of the fMRI data. He also took part in the installation of a hybrid MR-PET system at the beginning of 2016, helping with the MR image quality assessment. Currently he is contributing to the development of motion correction strategies to improve PET image quality using MR information.
- MRI neuroimaging
- Image Processing and Analysis
- Hybrid and Simultaneous MR-PET
- Sforazzini, F., Schwarz, A.J., Galbusera, A., Bifone, A., Gozzi, A., 2013. Distributed BOLD and CBV- weighted resting-state networks in the mouse brain. Neuroimage 87C, 403–415.
- Deficient neuron-microglia signaling results in impaired functional brain connectivity and social behavior. Zhan, Y., Paolicelli R.C., Sforazzini, F., Weinhard L., Bolasco G., Pagani F., Vyssotski A.L., Bifone A., Gozzi A., Ragozzino D., Gross C.T. Nature Neuroscience 17, 400–406 (2014), doi:10.1038/nn.3641.
- Sforazzini, F., Bertero, A., Dodero, L., David, G., Galbusera, A., Bifone, A., Scattoni, M.L., Pasqualetti, M., Gozzi, A. Altered functional connectivity networks in acallosal and socially impaired BTBR mice. Brain Structure and Function (2014), http://dx.doi.org/10.1007/s00429-014-0948-9