MSc Theses

I-See has hosted different students coming from both University of Turin (UniTo) and from Polytechnic University of Turin (PoliTo) for the carrying out of their MSc Thesis.

Theses co-supervised @UniTo

  • Implementation of model for the evaluation of the RBE for the therapeutic treatment with hadrons. (2001-2002)
    Maria Carelli

  • Fast simulation of the biological efficiency of therapeutique carbon ion beams with the Krakt-Scholz model. (2002-2003)
    Giuseppe Pittà

  • Calculation of the relative biological effect of carbon ions for treatment planning in hadrontherapy. (2003-2004)
    Cristian Boaretto

  • Simulation of a pixel chamber used as a detector for therapeutique proton beams. (2004-2005)
    Fulvio Tarquini

  • Simulazione del fascio terapeutico di adroni nel sistema di misura e controllo del centro nazionale di adroterapia oncologica. (2005-2006)
    Diana Massai

  • Biological effect study of the fragments in radiotherapy with heavy ion using Monte Carlo simulations. (2006-2007)
    Ilaria Rinaldi

  • Creazione di dati di base per un sistema di pianificazione di trattamento per adroni. (2008)
    Giovanni Nappi

  • Simulazione Monte Carlo della distribuzione di dose emessa da un CT in ambito radioprotettivo. (2012)
    Felipe Operti


Theses co-supervised @PoliTo

  • Studio E Applicazione Del Fantoccio Antropomorfo Virtuale Nel Campo Dell' Adroterapia. (2015)
    Matteo Mezzano (rel. G.Coppa)

  • Valutazione Radioprotezionistica Della Distribuzione Di Dose per Una Sala per Tomografia Computerizzata. (2016)
    Matteo Di Gangi (rel. M.De Salve, corel. G.Coppa)

  • Confronto Dei Metodi Di Ottimizzazione Nella Pianificazione Dei Piani Di Trattamento per La Protonterapia. (2017)
    Mattia Rizzon (rel. G.Coppa)

  • Characterization of a Proton Beam Delivery Line with Monte Carlo Simulation. (2018)
    Domenico Nicotra (rel. G.Coppa)

  • Effect of Beam Line Modeling on the Optimization of Treatment Plan in Proton Therapy. (2018)
    Claudia Pardi (rel. G.Coppa)

  • Radiopharmaceuticals Diffusion inside Human Body and Problem Modelling. (2019)
    Mattia Cretoni (rel. G.Coppa)

  • Profiling of Monte Carlo simulations in particle therapy and code optimization strategy. (2020)
    Fabrizio Bello (rel. S.Dulla)

Publications

  1. Performances of the scanning system for the CNAO center of oncological hadron therapy, February 2010,
    Giordanengo S., Donetti M., Marchetto F., Ansarinejad A., Attili A., Bourhaleb F., Burini F., Cirio R., Fabbricatore P., Voelker F., Garella M. A., Incurvati M., Monaco V., Pardo-Montero J., Peroni C., Russo G., Sacchi R., Taddia G., & Zampieri A.,
    Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 613(2), 317–322.
    DOI:10.1016/j.nima.2009.11.068

  2. Online beam monitoring in the treatment of ocular pathologies at the INFN Laboratori Nazionali del Sud-Catania, November 2010,
    Givehchi N., Marchetto F., Valastro L. M., Ansarinejad A., Attili A., Garella M. A., Giordanengo S., Monaco V., Pardo-Montero J., Sacchi R., Boriano A., Bourhaleb F., Cirio R., La Rosa A., Pecka A., Peroni C., Cirrone, G. A. P., Cuttone G., Donetti M., Raffaele L.,
    Physica medica, 27(4), 233–240.
    DOI:10.1016/j.ejmp.2010.10.004

  3. Analysis of the reliability of the local effect model for the use in carbon ion treatment planning systems, December 2010,
    Russo G., Attili A., Bourhaleb F., Marchetto F., Peroni C., Schmitt E., & Bertrand D.,
    Radiation Protection Dosimetry, 143(2-4):497-502.
    DOI:10.1093/rpd/ncq407

  4. Online beam monitoring in the treatment of ocular pathologies at the INFN Laboratori Nazionali del Sud-Catania, January 2011,
    Givehchi N., Marchetto F., Valastro L. M., Ansarinejad A., Attili A., Garella M. A., Giordanengo S., Monaco V., Montero J. P., Sacchi R., Boriano A., Bourhaleb F., Cirio R., La Rosa A., Pecka A., Peroni C., Cirrone G. A. P., Cuttone G., Donetti M., Raffaele L.,
    Physica Medica, 27(4), 233–240.
    DOI:https://doi.org/10.1016/j.ejmp.2010.10.004

  5. Monte Carlo Simulations for Beam Delivery Line Design in Radiation Therapy with Heavy Ion Beams, February 2011,
    Bourhaleb F., Attili A., & Russo G.,
    Applications of Monte Carlo Methods in Biology, Medicine and Other Fields of Science, 143(2-4):497-502, Epub 2010 Dec 3, Source InTech.
    DOI:10.5772/15883

  6. 250 IN SILICO DOSIMETRY, MONTE CARLO WEB APPLICATIONS FOR SIMULATIONS IN ADVANCED RADIATION THERAPY, RADIATION BIOLOGY AND RADIATION PROTECTION FIELDS, March 2012,
    Bourhaleb F., Attili A., Russo G., & Mas Milian F.,
    Radiotherapy and Oncology, 143(2-4):497-502, 102, S129.
    DOI:10.1016/S0167-8140(12)70217-7

  7. Dose Delivery system at CNAO, May 2012,
    Donetti M., Ansarinejad A., Bourhaleb Faiza, Capasso L., Cirio R. Ciocca M., Garella M., Giordanengo Simona, Hosseini M.A., Lavagno M., Marchetto Flavio, Mazza G., Mirandolla A., Pardo-Montero Juan, Pecka A., Peroni Cristiana, Sacchi R., Zamperi A.,
    Conference: 51th Annual metting of PTCOG, At: Essen-Germany.
    Link

  8. 26: PlanIt: Planning Ion therapy open platform for treatment plans testing and comparing. Radiotherapy and Oncology, February 2014,
    Bourhaleb F., Dalmasso F., Attili A., Milian F. M., & Russo G.,
    Radiotherapy and Oncology, 110, S13–S14.
    DOI:10.1016/S0167-8140(15)34047-0

  9. 12: Impact of uncertainties in ion beam therapy on the optimality of irradiation condition and fractionation schedule, February 2014,
    Attili A., Bourhaleb F., Svanetti A., Casale M., Bottigliengo D., Mas Milian F., Russo G., Kraan A., Marchetto F., & Cirio R. ,
    Radiotherapy and Oncology, 110, S5–S6.
    DOI:10.1016/S0167-8140(15)34033-0

  10. 11: Direct evaluation of ion beam radiobiological parameters from clinical data: an alternative approach to the RBE, February 2014,
    Attili A., Cometto A., Russo G., Bourhaleb F., Marchetto F., Giordanengo S., & Cirio R.,
    Radiotherapy and Oncology, 110, S5.
    DOI:0.1016/S0167-8140(15)34032-9

  11. 27: Augmented Reality tools for particle therapy facilities, February 2014,
    Bourhaleb F., & Petrone G.,
    Radiotherapy and Oncology, 110, S14.
    DOI:10.1016/S0167-8140(15)34048-2

  12. Direct evaluation of radiobiological parameters from clinical data in the case of ion beam therapy: an alternative approach to the relative biological effectiveness, November 2014,
    Cometto A., Russo G., Bourhaleb F., Milian, F. M. Giordanengo, S. Marchetto, F. Cirio, R., & Attili A.,
    Physics in Medicine and Biology, 59(23), 7393–7417.
    DOI:10.1088/0031-9155/59/23/7393

  13. The CNAO dose delivery system for modulated scanning ion beam radiotherapy, Jaunuary 2015,
    Giordanengo S., Garella, M. A., Marchetto F., Bourhaleb F., Ciocca M., Mirandola A., Monaco V., Hosseini M. A., Peroni C., Sacchi R., Cirio R., & Donetti M.,
    Medical Physics, 42(1), 263–275.
    DOI:10.1118/1.4903276

  14. EP-1481: A treatment planning study of the clinical optimality of ion beam therapy with different ions in presence of hypoxia, March 2015,
    Attili A., Torriani F., Mingioni C., Russo G., Dalmasso F., Giordanengo S., Bourhaleb F., Battistoni G., Marchetto F., & Cirio R.,
    Radiotherapy and Oncology, 115, S804–S805.
    DOI:10.1016/S0167-8140(15)41473-2

  15. A novel algorithm for the calculation of physical and biological irradiation quantities in scanned ion beam therapy: the beamlet superposition approach, December 2015,
    Russo G., Attili A., Battistoni G., Bertrand D., Bourhaleb F., Cappucci F., Ciocca M., Mairani A., Milian F. M., Molinelli S., Morone M. C., Muraro S., Orts T., Patera V., Sala P., Schmitt E., Vivaldo G., & Marchetto F.,
    Radiotherapy and Oncology, 115, S804–S805.
    DOI:10.1088/0031-9155/61/1/183

  16. Augmented reality supporting innovation and accuracy in advanced radiation therapy facilities, February 2016,
    Spoto S., Bourhaleb F., & Petrone G.,
    Radiotherapy and Oncology, 118, S97.
    DOI:10.1016/S0167-8140(16)30200-6

  17. Investigation on novel solution for a positioning system in protontherapy, February 2016,
    Bourhaleb F., Prisco R., Dimiccoli V., Dalmasso F., Attili A., Menghi E., & Russo G.,
    Radiotherapy and Oncology, 118, S13.
    DOI:10.1016/S0167-8140(16)30026-3

  18. Investigation of the use of inhomogeneous fractional dose distributions in IMPT to improve the therapeutic index, February 2016,
    Manganaro L., Russo G., Dalmasso F., Milian F. M., Bourhaleb F., Cirio R., & Attili A.,
    Radiotherapy and Oncology, 118, S69.
    DOI:10.1016/S0167-8140(16)30141-4

  19. Web-interfaced Monte Carlo simulation for quality assurance in radiation therapy, February 2016,
    Dalmasso F., Bourhaleb F., Russo G., Franza N., Spoto S., & Attili A.,
    Physica Medica, 32, 18.
    DOI:10.1016/j.ejmp.2016.01.063

  20. Investigation on novel solution for a positioning system in protontherapy, February 2016,
    Bourhaleb F., Prisco R., Dimiccoli V., Dalmasso F., Attili A., Menghi E., & Russo G.,
    ICTR-PHE 2016, At: CERN, Geneve.
    Link

  21. Survival’: a simulation toolkit introducing a modular approach for radiobiological evaluations in ion beam therapy, March 2018,
    Manganaro L., Russo G., Bourhaleb F., Fausti F., Giordanengo S., Monaco V., Sacchi R., Vignati A., Cirio R., & Attili A. ,
    Physics in Medicine & Biology, 63(8), 08NT01.
    DOI:10.1088/1361-6560/aab697

  22. An investigation to find out an agile positioning solution for fixed beam in protontherapy, September 2020,
    Project: ERHA: Enhanced Radiotherapy with HAdrons,
    Bourhaleb F., Prisco R., Cretoni M., Mazzone M., Tabasso M., & Pardi C.,
    Conference: ECMP 2020, At: Turin.
    Link

  23. Innovative robotic-arms positioning system for a gantryless solution in protontherapy, October 2020,
    Project: ERHA PROJECT,
    Bourhaleb F., Prisco R., Cretoni M., Mazzone M., Tabasso M., & Pardi C.,
    Conference: Airo2020.
    Link

  24. INNOVATIVE ROBOTIC-ARM POSITIONING SYSTEM FOR FIXED SOURCE PROTON THERAPY TREATMENT, October 2020,
    Project: ERHA PROJECT,
    Bourhaleb F., Prisco R., Cretoni M., Mazzone M., Tabasso M., & Pardi C.,
    Conference: https://www.ptcog2020online.org.
    DOI:10.13140/RG.2.2.14099.50729