Alessandra Bertoldo
Faculty

bertoldo@dei.unipd.it
+39-049-827-7694
Room 107 – 1st floor – DEI/A

  

Short Bio

Alessandra Bertoldo studied electronics engineering at the University of Padova, Italy. In 1997 she worked at the Laboratory of Blood Flow and Metabolism of Dr. L. Sokoloff, at the National Institutes of Health (NIH), Bethesda, USA. On February 11, 1999 she received the PhD degree (Dottorato di Ricerca) in Biomedical Engineering from the Politecnico of Milano. She is Associate Professor at the Department of Information Engineering of the University of Padova.

Her research interests are mainly related to the development of mathematical models for analysis and control of biological systems and to the quantification of functional positron emission tomography and magnetic resonance images. Current personal and collaborative research activities include: Mathematical models for quantitative PET studies, Methods for magnetic resonance functional imaging, Imaging genetics, Non-linear mixed effects modeling, Quantitative multimodal imaging.

She has contributed to several national as well as international research projects. In particular, she was co-investigator of the project “Multi-tracer PET Quantification of Insulin Action”, Funding Source: NIH/NIDDK (principal investigator – PI: Dr. Goodpaster B.H.), of the strategic project “Algorithms and Architectures for Computational Science and Engineering” (PI: prof. Bilardi Gianfranco) founded by the University of Padova. She is co-investigator in three different European Projects of the Seventh Framework Programme (Summit, AP@home, MOSAIC) (see below for more projects)

From 2005, she teaches Neuroengineering for the Bioengineering Master’s Degree Program at the University of Padova. From 2015, she also teaches System and Models (Bachelor’s Degree Program in Information Engineering at the University of Padova) and Laboratory of Bioengineering (Bachelor’s Degree Program in Information Engineering at the University of Padova).

On June 19th, 2017, she has been elected as Referent of the Master’s Degree Program in Bioengineering and of the Bachelor’s Degree Program in Biomedical Engineering from 2017 to 2021 (in Italian: Presidente del CCS aggregato in Ingegneria Biomedica e Bioingegneria per il quadriennio 2017-2021).

She is member of the board of the Doctoral School on Information Engineering (Bioengineering Program).

Since November 2015, she is member of the IEEE-EMBC Technical Committee on Biomedical Imaging and Image Processing.

Since May 2016 she is member of the Board of Directors of the Padova Neuroscience Center, University of Padova. Since March 2017, she is vice-director of the Padova Neuroscience Center of the University of Padova.

Principal Founded Research Projects

 

MIUR-MURST

PRIN 2000
Modellistica e imaging quantitativo del sistema serotoninergico con Tomografia ad Emissione di Positroni
(Principal investigator: Claudio Cobelli)
Co-investigator
PRIN 2004
Modelli e metodi per lo studio delle malattie neurodegenerative con tomografia ad emissione di positroni
(Principal investigator: Claudio Cobelli)
Co-investigator

National Institutes of Health, USA

NIH/NIDDK “Multi-tracer PET Quantification of Insulin Action in Muscle” (2002-2006; Principal investigator: David E. Kelley) DK-60555-01
NIH/NIBIB “Resource Facility for Population Kinetics” (2003-2008; Principal investigator: P. Vicini) P41 EB-001975
NIH/NIDDK “Multi-Tracer Pet Quantitation of Insulin Action” (2007-2010; Principal investigator: Bret H Goodpaster) DK-60555-02

European Union

UE Programme FP4-BIOMED 2 “Prediction of shock status using open flow approaches with biosensor detection” (1997-2001; Principal Investigator: Pankaj Vadgama) Project ID: BMH4972726
UE Programme FP7 “DIAdvisor: Personal Glucose Predictive Diabetes Advisor” Project ID: 216592
UE Programme FP7 “AP@home: Bringing the Artificial Pancreas Home” Project ID: 247138
UE Programme FP7 IMI Call (Innovative Medicines Iniziative) “SUMMIT: SUrrogate markers for Micro- and Macro-vascular hard endpoints for Innovative diabetes Tools) Project ID: 115006
UE Programme FP7 – “MOSAIC – Models and simulation techniques for discovering diabetes influence factors” Project ID: 600914

University of Padova

2000 Progetto Giovani Ricercatori “Analisi quantitativa del metabolismo da immagini PET: nuovi metodi di stima parametrica”, (Principal investigator Giovanni Sparacino) Co-investigator
2003 Progetto Giovani Ricercatori “Modelli non lineari ad effetti misti per la quantificazione di immagini di Tomografia ad Emissione di Positroni Principal investigator
2007 Progetti di Ricerca di Ateneo “Sviluppo di un modello elettrico a parametri distribuiti dell’interfaccia cellula/elettrodo per cellule di mammifero coltivate in vitro” Principal investigator
2013 Progetti di Ricerca di Ateneo “Neuroimaging Genetics: Models and Methods to Integrate Brain Phenotype and Genotype” Principal investigator
2007-2009 Progetti di Eccellenza – Fondazione CARIPARO “MIcrofluidics laboratory for Scientific and Technological Applications”, (Principal investigator: Michele Maggini) Co-investigator
Progetti strategici di Ateneo 2008 “AACSE: Algorithms and Architectures for Computational Science and Engineering” (Principal investigator: Bilardi Gianfranco) Co-investigator

Italian Ministry of Health

NET-2013-02355313 (3 years project)
Magnetic resonance imaging in drug-refractory temporal lobe epilepsy: standardization of advanced structural and functional protocols at 3T, to identify hippocampal and extra-hippocampal abnormality (Principal investigator: Paolo Vitali)
Co-investigator

Selected Publications

Squarcina, Letizia; Luca, Alberto De; Bellani, Marcella; Brambilla, Paolo; Turkheimer, Federico E; Bertoldo, Alessandra

Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder Journal Article

Physics in Medicine and Biology, 60 (4), pp. 1697-1716, 2015.

Links | BibTeX

Rizzo, Gaia; Veronese, Mattia; Tonietto, Matteo; Fregonara, Paolo Zanotti; Turkheimer, Federico E; Bertoldo, Alessandra

Kinetic modeling without accounting for the vascular component impairs the quantification of [11C]PBR28 brain PET data Journal Article

J Cereb Blood Flow Metab, 34 (6), pp. 1060–1069, 2014.

Links | BibTeX

Castellaro, Marco ; Peruzzo, Denis ; Mehndiratta, Amit ; Pillonetto, Gianluigi ; Petersen, Esben Thade ; Golay, Xavier ; a. Chappell, Michael ; Bertoldo, Alessandra

Estimation of arterial arrival time and cerebral blood flow from QUASAR arterial spin labeling using stable spline Journal Article

Magn. Reson. Med., 00 (August), pp. n/a–n/a, 2014, ISSN: 07403194, ([Epub ahead of print]).

Links | BibTeX

Veronese, M; Gunn, R N; Zamuner, S; Bertoldo, A

A non-linear mixed effect modelling approach for metabolite correction of the arterial input function in PET studies Journal Article

NeuroImage, 66 , pp. 611-622, 2013.

Links | BibTeX

Bertoldo, A; Peltoniemi, P; Oikonen, V; Knuuti, J; Nuutila, P; Cobelli, C

Kinetic modeling of [18F]FDG in skeletal muscle by PET: A four-compartment five-rate-constant model Journal Article

American Journal of Physiology - Endocrinology and Metabolism, 281 (3 44-3), pp. E524-E536, 2001.

Links | BibTeX

All Publications

175 entries « 1 of 18 »

2017

Palombit, A; Castellaro, M; Calabrese, M; Romualdi, C; Pizzini, F; Montemezzi, S; Grisan, E; Bertoldo, A

Cortical thickness variability in multiple sclerosis: the role of lesion segmentation and filling Inproceedings

In: Proceedings of ISBI, IEEE International Symposium on Biomedical Imaging, IEEE, 2017.

BibTeX

Brigadoi, Sabrina; Cutini, Simone; Meconi, Francesca; Castellaro, Marco; Sessa, Paola; Marangon, Mattia; Bertoldo, Alessandra; Joliceur, Pierre; Dell'Acqua, Roberto

On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects Journal Article

In: J Cogn Neurosci, 29 (2), pp. 337–351, 2017.

Abstract | BibTeX

Castellaro, Marco; Rizzo, Gaia; Tonietto, Matteo; Veronese, Mattia; Turkheimer, F E; Chappell, M A; Bertoldo, Alessandra

A Variational Bayesian inference method for parametric imaging of PET data Journal Article

In: Neuroimage, 150 , pp. 136–149, 2017.

BibTeX

Peruzzo, D; Castellaro, M; Pillonetto, G; Bertoldo, A

Stable spline deconvolution for dynamic susceptibility contrast MRI Journal Article

In: Magn Reson Med, 2017.

BibTeX

2016

Rizzo, G; Castellaro, M; Tonietto, M; Veronese, M; Turkheimer, F E; Chappell, M A; Bertoldo, A

Parametric imaging of brain PET data using a Variational Bayesian inference approach Conference

Eleventh International Symposium on Functional Neuroreceptor Mapping of the Living Brain, (NeuroReceptor Mapping 2016), 2016, (oral).

BibTeX

Veronese, M; Zanotti-Fregonara, P; Rizzo, G; Bertoldo, A; Innis, R B; Turkheimer, F E

The genomic plot: a new method for measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade Conference

Eleventh International Symposium on Functional Neuroreceptor Mapping of the Living Brain, (NeuroReceptor Mapping 2016), Boston (MA, USA), 13-17 July 2016 2016, (oral).

BibTeX

Veronese, M; Moro, L; Rizzo, G; Expert, P; Khan, W; Bertoldo, A; F.E., Turkheimer

Network analysis of brain PET data: application to cross-sectional studies Conference

Eleventh International Symposium on Functional Neuroreceptor Mapping of the Living Brain, (NeuroReceptor Mapping 2016), Boston (MA, USA), 13-17 July 2016 , 2016, (poster).

BibTeX

Tonietto M., ; Rizzo, G; Veronese, M; Bertoldo, A

A unified framework for the automatic blood data modelling in dynamic PET studies Conference

Eleventh International Symposium on Functional Neuroreceptor Mapping of the Living Brain, (NeuroReceptor Mapping 2016), Boston (MA, USA), 13-17 July 2016 , 2016, (poster).

BibTeX

Zanotti-Fregonara, P; Veronese, M; Rizzo, G; Bertoldo, A; Innis, R B; Turkheimer, F E

A new method for measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade Conference

J Nucl Med Meeting Abstracts, SNMMI 2016 San Diego (CA, USA), , 2016, (in press, poster).

BibTeX

Hellyer, P J; Barry, E; Pellizzon, A; Veronese, M; Rizzo, G; Bertoldo, A; Tonietto, M; Turkheimer, F E

Exploring the relationship between structure, multi-scale functional dynamics and objective measurements of neural plasticity Conference

Organization for Human Brain Mapping, (OHBM 2016), Organization for Human Brain Mapping 2016, (poster).

BibTeX

175 entries « 1 of 18 »