Francesco Brun

Prof. Francesco Brun

University of Trieste, Trieste, Friuli-Venezia Giulia, Italy
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 April 2009 in Biomacromolecules
Verified
Journal Article
Closed access
GTGianluca Turco
Gianluca Turco
Eleonora MarsichEleonora Marsich
Eleonora Marsich
FBFrancesca Bellomo
Francesca Bellomo
SSSabrina Semeraro
Sabrina Semeraro
Ivan DonatiIvan Donati
Ivan Donati
SPSergio Paoletti
Sergio Paoletti

19 January 2017 in Advanced Structural and Chemical Imaging
Verified
Journal Article
Open access
PDF file
Francesco BrunFrancesco Brun
Francesco Brun
LMLorenzo Massimi
Lorenzo Massimi
MFMichela Fratini
Michela Fratini
DDDiego Dreossi
Diego Dreossi
FBFulvio Billè
Fulvio Billè
ACAlessia Cedola
Alessia Cedola
When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui.

1 April 2010 in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Verified
Journal Article
Closed access
Francesco BrunFrancesco Brun
Francesco Brun
LMLucia Mancini
Lucia Mancini
PKParnian Kasae
Parnian Kasae
SFStefano Favretto
Stefano Favretto
DDDiego Dreossi
Diego Dreossi
GTGiuliana Tromba
Giuliana Tromba

24 October 2015 in Fundamenta Informaticae
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Journal Article
Closed access
PDF file
Francesco BrunFrancesco Brun
Francesco Brun
SPSerena Pacilè
Serena Pacilè
AAAgostino Accardo
Agostino Accardo
GKGeorge Kourousias
George Kourousias
DDDiego Dreossi
Diego Dreossi
RPRoberto Pugliese
Roberto Pugliese
X-ray computed tomography (CT) experiments performed at synchrotron radiation facilities require adequate computing and storage resources due to the large amount of acquired and reconstructed data produced. To satisfy the heterogeneous needs of beaml

22 July 2010 in AIP Conference Proceedings
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Conference Paper
Closed access
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GTG. Tromba
G. Tromba
RLR. Longo
R. Longo
AAA. Abrami
A. Abrami
FAF. Arfelli
F. Arfelli
AAA. Astolfo
A. Astolfo
KSKaren K. W. Siu
Karen K. W. Siu
At the SYnchrotron Radiation for MEdical Physics (SYRMEP) beamline of Elettra Synchrotron Light Laboratory in Trieste (Italy), an extensive research program in bio‐medical imaging has been developed since 1997. The core program carried out by the SYRMEP collaboration concerns the use of Synchrotron Radiation (SR) for clinical mammography with the aim of improving the diagnostic performance of the conventional technique. The first protocol with patients, started in 2006 has been completed at the end of 2009 and the data analysis is now in progress. Regarding applications different from clinical imaging, synchrotron X‐ray computed microtomography (micro‐CT) is the most used technique, both in absorption and phase contrast. A new software tool, Pore3D, has been developed to perform a quantitative morphological analysis on the reconstructed slices and to access textural information of the sample under study.

1 January 2016 in NeuroImage
Verified
Journal Article
Closed access
ACAndrea Chincarini
Andrea Chincarini
FSFrancesco Sensi
Francesco Sensi
LRLuca Rei
Luca Rei
GGGianluca Gemme
Gianluca Gemme
SSSandro Squarcia
Sandro Squarcia
FNFlavio Nobili
Flavio Nobili