@conference{palombit_2015_EMBC,

title = {Comparative Assessment of Methods for Quantitative Susceptibility Mapping on a Clinical Magnetic Resonance Data Set},

author = {Palombit,Alessandro and Castellaro,Marco and Tonietto,Matteo and Silvestri,Erica and Calabrese,Massimiliano and Bertoldo,Alessandra

},

year  = {2015},

date = {2015-07-01},

booktitle = {37th annual international conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Milan, Italy},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Rizzo2015cb,

title = {Use of a Variational Bayesian inference approach for the quantification of brain PET data at the voxel level},

author = { Gaia Rizzo and Matteo Tonietto and Simone Zanoni and Michael A. Chappell and Marco Castellaro and Alessandra Bertoldo},

year  = {2015},

date = {2015-01-01},

booktitle = {Molecular Imaging and Biology},

journal = {Molecular Imaging and Biology},

note = {in press},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tonietto2015ab,

title = {Effective and functional connectivity in the motor cortex are sensitive to disability in MS},

author = { Matteo Tonietto and Ilaria Mazzonetto and Salvatore Monaco and Massimiliano Calabrese and Marco Castellaro and Alessandra Bertoldo},

year  = {2015},

date = {2015-01-01},

booktitle = {21st annual meeting of Organization For Human Brain Mapping – OHBM 2015},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tonietto2015bb,

title = {Modelling arterial input functions in Positron Emission Tomography dynamic studies},

author = { Matteo Tonietto and Gaia Rizzo and Mattia Veronese and Alessandra Bertoldo},

url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7318839},

doi = {10.1109/EMBC.2015.7318839},

isbn = {978-1-4244-9271-8},

year  = {2015},

date = {2015-01-01},

booktitle = {37th annual international conference of the IEEE Engineering in Medicine and Biology Society – EMBC 2015},

pages = {2247-2250},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tonietto2015c,

title = {Use of cortical thickness to detect localized damage in the somatomotor cortex in MS: relation with clinical disability.},

author = { Matteo Tonietto and Massimiliano Calabrese and Erica Silvestri and Aldo Morra and Marco Castellaro and Salvatore Monaco and Alessandra Bertoldo},

year  = {2015},

date = {2015-01-01},

booktitle = {31st congress of the European committee for treatment and research in Multiple Sclerosis – ECTRIMS 2015},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Castellaro2015_SWI,

title = {Heterogeneity of susceptibility mapping of cortical lesions in MS},

author = { Marco Castellaro and Alessandro Palombit and Erica Silvestri and Matteo Tonietto and Alberto Gajofatto and Stefania Montemezzi and Roberta Magliozzi and O.W. Howell and Richard Reynolds and Salvatore Monaco and Alessandra Bertoldo and Massimiliano Calabrese},

year  = {2015},

date = {2015-01-01},

booktitle = {31st congress of the European committee for treatment and research in Multiple Sclerosis – ECTRIMS, Barcellona, Spain},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Tonietto2014a,

title = {Optimal metabolite curve fitting for [11C]PBR28},

author = { Matteo Tonietto and Gaia Rizzo and Mattia Veronese and Paolo Zanotti-Fregonara and Masahiro Fujita and Alessandra Bertoldo},

year  = {2014},

date = {2014-05-21},

booktitle = {Tenth International Symposium on Functional Neuroreceptor Mapping of the Living Brain, (NeuroReceptor Mapping 2014)},

volume = {Book of Abstracts},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}

@conference{Rizzo2014c,

title = {Kinetic modeling using a two-tissue compartment model and an additional irreversible vascular component improves the quantification of [11C]PBR28 brain PET data},

author = { Gaia Rizzo and Mattia Veronese and Matteo Tonietto and Paolo Zanotti-Fregonara and Federico Turkheimer and Alessandra Bertoldo},

url = {http://jnm.snmjournals.org/content/55/supplement_1/2020.abstract},

year  = {2014},

date = {2014-05-01},

booktitle = {J NUCL MED MEETING ABSTRACTS},

journal = {J NUCL MED MEETING ABSTRACTS},

volume = {55},

number = {Supplement 1},

pages = {2020},

abstract = {2020 Objectives We propose a novel kinetic model for the neuroinflammation ligand [11C]-PBR28. This model hypothesizes the existence of an additional irreversible component from the blood to the endothelium, similar to that previously demonstrated for [11C]-(R)-PK11195 Methods The model (2TCM-1K) was tested on a dataset of ten healthy subjects. A simulation was also performed to quantify the error generated by the standard 2TCM when the presence of the irreversible component is not taken into account Results Compared to standard 2TCM, 2TCM-1K improved the curves fit to the tissue data points in all the regions and increased the randomness of the weighted residuals. 2TCM-1K poorly identified only one brain region in one subject. In contrast, 2TCM showed a poor fit in 4% of the brain regions. Akaike score was lower for 2TCM-1K in 94% of the regions. Importantly, the VT values obtained with 2TCM and 2TCM-1K were also poorly correlated (R2 < 0.4). VT 2TCM-1K estimates were found to be better correlated region-wise with mRNA TSPO gene expression than 2TCM (r = 0.54 and r = -0.42 respectively). Simulated data showed that 2TCM is not very sensitive to variations in tissular VT, as differences greater than 50% translated into estimated VT variations of 15% or less Conclusions A kinetic model that accounts for the endothelial irreversible binding of TSPO tracers improves the quantification of [11C]PBR28 brain PET data},

note = {Annual meeting of the Society of Nuclear Medicine and Molecular Imaging – SNM2014},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}