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- +1 (617) 583-3149
- mscipioni@mgh.harvard.edu
- scipioni.michele
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Michele Scipioni, PhD
Postdoctoral Research Fellow
Bio
Michele Scipioni is a Postdoctoral Research Fellow at Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital, Boston, MA, USA. He received: BSc in 2011 at School of Engineering, Università Politecnica delle Marche, Ancona, IT; M.Sc. in Biomedical Engineering in 2015 at School of Engineering, University of Pisa, Pisa, IT; Ph.D. in Biomedical Engineering in 2018 at the Department of Information Engineering, University of Pisa, Pisa, IT.
His main research activity is on tomographic image reconstruction and parametric maps estimation from PET data. He is author of several peer-reviewed publications and proceedings, mainly on: models for 4D PET image reconstruction incorporating kinetic modeling and clustering; strategies for improving maps’ SNR and accelerating voxelwise fitting via GPU parallelization; PET reconstruction algorithms for non-Poisson data.
Education
PH.D. IN BIOMEDICAL ENGINEERING
University of Pisa, Italy
M.Sc. in Biomedical Engineering
University of Pisa, Italy
B.Sc. in Biomedical Engineering
Università Politecnica delle Marche, Ancona, Italy
Publications
- Genovesi, D, Vergaro, G, Giorgetti, A, Marzullo, P, Scipioni, M, Santarelli, MF, Pucci, A, Buda, G, Volpi, E, Emdin, M (2021).[18F]-Florbetaben PET/CT for Differential Diagnosis Among Cardiac Immunoglobulin Light Chain, Transthyretin Amyloidosis, and Mimicking Conditions. JACC Cardiovasc Imaging14,246-255.
- Scipioni, M, Pedemonte, S, Santarelli, MF, Landini, L (2020).Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction. IEEE Trans Med Imaging39,152-160.
- Scipioni, M (2019).Direct 4D PET reconstruction with discrete tissue types. Annu Int Conf IEEE Eng Med Biol Soc2019,4840-4843.
- Scipioni, M, Santarelli, MF, Giorgetti, A, Positano, V, Landini, L (2019).Negative binomial maximum likelihood expectation maximization (NB-MLEM) algorithm for reconstruction of pre-corrected PET data. Comput Biol Med115,103481.
- Scipioni, M, Pedemonte, S, Santarelli, MF, Landini, L (2020).Probabilistic Graphical Models for Dynamic PET: A Novel Approach to Direct Parametric Map Estimation and Image Reconstruction. IEEE Trans Med Imaging39,152-160.
- Scipioni, M, Giorgetti, A, Della Latta, D, Fucci, S, Positano, V, Landini, L, Santarelli, MF (2018).Direct Parametric Maps Estimation from Dynamic PET Data: An Iterated Conditional Modes Approach. J Healthc Eng2018,5942873.
- Catalano, OA, Umutlu, L, Fuin, N, Hibert, ML, Scipioni, M, Pedemonte, S, Vangel, M, Catana, AM, Herrmann, K, Nensa, F, Groshar, D, Mahmood, U, Rosen, BR, Catana, C (2018).Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo). Eur J Nucl Med Mol Imaging45,2147-2154.
- Scipioni, M, Giorgetti, A, Della Latta, D, Fucci, S, Positano, V, Landini, L, Santarelli, MF (2018).Accelerated PET kinetic maps estimation by analytic fitting method. Comput Biol Med99,221-235.
- Fuin, N, Catalano, OA, Scipioni, M, Canjels, LPW, Izquierdo-Garcia, D, Pedemonte, S, Catana, C (2018).Concurrent Respiratory Motion Correction of Abdominal PET and Dynamic Contrast-Enhanced-MRI Using a Compressed Sensing Approach. J Nucl Med59,1474-1479.
- Santarelli, MF, Vanello, N, Scipioni, M, Valvano, G, Landini, L (2017).New Imaging Frontiers in Cardiology: Fast and Quantitative Maps from Raw Data. Curr Pharm Des23,3268-3284.
- Scipioni, M, Santarelli, MF, Landini, L, Catana, C, Greve, DN, Price, JC and Pedemonte, S (2017). Kinetic compressive sensing. Conf Proc 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 1-5.
- Santarelli, MF, Della Latta, D, Scipioni, M, Positano, V, Landini, L (2016).A Conway-Maxwell-Poisson (CMP) model to address data dispersion on positron emission tomography. Comput Biol Med77,90-101.