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Mattei I, Alexandrov A, Alunni Solestizi L, Ambrosi G, Argiro S, Bartosik N, Battistoni G, Belcari N, Biondi S, Bisogni MG, Bruni G, Camarlinghi N, Carra P, Catanzani E, Ciarrocchi E, Cerello P, Clozza A, Colombi S, De Lellis G, Del Guerra A, De Simoni M, Di Crescenzo A, Donetti M, Dong Y, Durante M, Embriaco A, Emde M, Faccini R, Ferrero V, Ferroni F, Fiandrini E, Finck C, Fiorina E, Fischetti M, Francesconi M, Franchini M, Galli L, Gentile V, Hetzel R, Hild S, Iarocci E, Ionica M, Kanxheri K, Kraan AC, Lante V, Lauria A, La Tessa C, Lopez Torres E, Massimi C, Marafini M, Mengarelli A, Mirabelli R, Montesi MC, Morone MC, Morrocchi M, Muraro S, Narici L, Pastore A, Pastrone N, Patera V, Pennazio F, Placidi P, Pullia M, Ramello L, Ridolfi R, Rosso V, Rovituso M, Sanelli C, Sartorelli G, Sato O, Savazzi S, Scavarda L, Schiavi A, Schuy C, Scifoni E, Sciubba A, Secher A, Selvi M, Servoli L, Silvestre G, Sitta M, Spighi R, Spiriti E, Sportelli G, Stahl A, Tomassini S, Tommasino F, Traini G, Toppi M, Valeri T, Valle SM, Vanstalle M, Villa M, Weber U, Zoccoli A, Sarti A. Measurement of 12C Fragmentation Cross Sections on C, O, and H in the Energy Range of Interest for Particle Therapy Applications. IEEE Trans Radiat Plasma Med Sci 2020. [DOI: 10.1109/trpms.2020.2972197] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Belcari N, Bisogni MG, Camarlinghi N, Carra P, Cerello P, Morrocchi M, Patera A, Sportelli G, Del Guerra A. Design and Detector Performance of the PET Component of the TRIMAGE PET/MR/EEG Scanner. IEEE Trans Radiat Plasma Med Sci 2019. [DOI: 10.1109/trpms.2019.2906407] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Kostara E, Sportelli G, Belcari N, Camarlinghi N, Cerello P, Del Guerra A, Ferrero V, Fiorina E, Giraudo G, Morrocchi M, Pennazio F, Pullia M, Rivetti A, Rolo MD, Rosso V, Wheadon R, Bisogni MG. Particle beam microstructure reconstruction and coincidence discrimination in PET monitoring for hadron therapy. Phys Med Biol 2019; 64:035001. [PMID: 30572320 DOI: 10.1088/1361-6560/aafa28] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Positron emission tomography is one of the most mature techniques for monitoring the particles range in hadron therapy, aiming to reduce treatment uncertainties and therefore the extent of safety margins in the treatment plan. In-beam PET monitoring has been already performed using inter-spill and post-irradiation data, i.e. while the particle beam is off or paused. The full beam acquisition procedure is commonly discarded because the particle spills abruptly increase the random coincidence rates and therefore the image noise. This is because random coincidences cannot be separated by annihilation photons originating from radioactive decays and cannot be corrected with standard random coincidence techniques due to the time correlation of the beam-induced background with the ion beam microstructure. The aim of this paper is to provide a new method to recover in-spill data to improve the images obtained with full-beam PET acquisitions. This is done by estimating the temporal microstructure of the beam and thus selecting input PET events that are less likely to be random ones. The PET detector we used was the one developed within the INSIDE project and tested at the CNAO synchrotron-based facility. The data were taken on a PMMA phantom irradiated with 72 MeV proton pencil beams. The obtained results confirm the possibility of improving the acquired PET data without any external signal coming from the synchrotron or ad hoc detectors.
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Affiliation(s)
- E Kostara
- Istituto Nazionale di Fisica Nucleare (INFN), Pisa, Italy. Department of Physical Sciences, Earth and Environment, University of Siena, Siena, Italy
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Fiorina E, Ferrero V, Pennazio F, Baroni G, Battistoni G, Belcari N, Cerello P, Camarlinghi N, Ciocca M, Del Guerra A, Donetti M, Ferrari A, Giordanengo S, Giraudo G, Mairani A, Morrocchi M, Peroni C, Rivetti A, Da Rocha Rolo M, Rossi S, Rosso V, Sala P, Sportelli G, Tampellini S, Valvo F, Wheadon R, Bisogni M. Monte Carlo simulation tool for online treatment monitoring in hadrontherapy with in-beam PET: A patient study. Phys Med 2018; 51:71-80. [DOI: 10.1016/j.ejmp.2018.05.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 03/29/2018] [Accepted: 05/02/2018] [Indexed: 10/17/2022] Open
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Belcari N, Camarlinghi N, Ferretti S, Iozzo P, Panetta D, Salvadori PA, Sportelli G, Del Guerra A. NEMA NU-4 Performance Evaluation of the IRIS PET/CT Preclinical Scanner. IEEE Trans Radiat Plasma Med Sci 2017. [DOI: 10.1109/trpms.2017.2707300] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Sportelli G, Ahmad S, Belcari N, Bisogni MG, Camarlinghi N, Di Pasquale A, Dussoni S, Fleury J, Morrocchi M, Zaccaro E, Del Guerra A. The TRIMAGE PET Data Acquisition System: Initial Results. IEEE Trans Radiat Plasma Med Sci 2017. [DOI: 10.1109/tns.2016.2633237] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Piliero MA, Pennazio F, Bisogni MG, Camarlinghi N, Cerello PG, Del Guerra A, Ferrero V, Fiorina E, Giraudo G, Morrocchi M, Peroni C, Pirrone G, Sportelli G, Wheadon R. Full-beam performances of a PET detector with synchrotron therapeutic proton beams. Phys Med Biol 2016; 61:N650-N666. [PMID: 27819254 DOI: 10.1088/0031-9155/61/23/n650] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Treatment quality assessment is a crucial feature for both present and next-generation ion therapy facilities. Several approaches are being explored, based on prompt radiation emission or on PET signals by [Formula: see text]-decaying isotopes generated by beam interactions with the body. In-beam PET monitoring at synchrotron-based ion therapy facilities has already been performed, either based on inter-spill data only, to avoid the influence of the prompt radiation, or including both in-spill and inter-spill data. However, the PET images either suffer of poor statistics (inter-spill) or are more influenced by the background induced by prompt radiation (in-spill). Both those problems are expected to worsen for accelerators with improved duty cycle where the inter-spill interval is reduced to shorten the treatment time. With the aim of assessing the detector performance and developing techniques for background reduction, a test of an in-beam PET detector prototype was performed at the CNAO synchrotron-based ion therapy facility in full-beam acquisition modality. Data taken with proton beams impinging on PMMA phantoms showed the system acquisition capability and the resulting activity distribution, separately reconstructed for the in-spill and the inter-spill data. The coincidence time resolution for in-spill and inter-spill data shows a good agreement, with a slight deterioration during the spill. The data selection technique allows the identification and rejection of most of the background originated during the beam delivery. The activity range difference between two different proton beam energies (68 and 72 MeV) was measured and found to be in sub-millimeter agreement with the expected result. However, a slightly longer (2 mm) absolute profile length is obtained for in-spill data when compared to inter-spill data.
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Affiliation(s)
- M A Piliero
- Department of Physics, University of Pisa, Pisa, Italy. INFN, Pisa, Italy
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Rosso V, Battistoni G, Belcari N, Camarlinghi N, Cirrone G, Collini F, Cuttone G, Ciocca M, Del Guerra A, Ferrari A, Ferretti S, Kraan A, Mairani A, Pullia M, Molinelli S, Romano F, Sala P, Sportelli G, Zaccaro E. DoPET: an in-treatment monitoring system for particle therapy. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)30188-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Torres EL, Fiorina E, Pennazio F, Peroni C, Saletta M, Camarlinghi N, Fantacci ME, Cerello P. Large scale validation of the M5L lung CAD on heterogeneous CT datasets. Med Phys 2015; 42:1477-89. [PMID: 25832038 DOI: 10.1118/1.4907970] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE M5L, a fully automated computer-aided detection (CAD) system for the detection and segmentation of lung nodules in thoracic computed tomography (CT), is presented and validated on several image datasets. METHODS M5L is the combination of two independent subsystems, based on the Channeler Ant Model as a segmentation tool [lung channeler ant model (lungCAM)] and on the voxel-based neural approach. The lungCAM was upgraded with a scan equalization module and a new procedure to recover the nodules connected to other lung structures; its classification module, which makes use of a feed-forward neural network, is based of a small number of features (13), so as to minimize the risk of lacking generalization, which could be possible given the large difference between the size of the training and testing datasets, which contain 94 and 1019 CTs, respectively. The lungCAM (standalone) and M5L (combined) performance was extensively tested on 1043 CT scans from three independent datasets, including a detailed analysis of the full Lung Image Database Consortium/Image Database Resource Initiative database, which is not yet found in literature. RESULTS The lungCAM and M5L performance is consistent across the databases, with a sensitivity of about 70% and 80%, respectively, at eight false positive findings per scan, despite the variable annotation criteria and acquisition and reconstruction conditions. A reduced sensitivity is found for subtle nodules and ground glass opacities (GGO) structures. A comparison with other CAD systems is also presented. CONCLUSIONS The M5L performance on a large and heterogeneous dataset is stable and satisfactory, although the development of a dedicated module for GGOs detection could further improve it, as well as an iterative optimization of the training procedure. The main aim of the present study was accomplished: M5L results do not deteriorate when increasing the dataset size, making it a candidate for supporting radiologists on large scale screenings and clinical programs.
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Affiliation(s)
- E Lopez Torres
- CEADEN, Havana 11300, Cuba and INFN, Sezione di Torino, Torino 10125, Italy
| | - E Fiorina
- Department of Physics, University of Torino, Torino 10125, Italy and INFN, Sezione di Torino, Torino 10125, Italy
| | - F Pennazio
- Department of Physics, University of Torino, Torino 10125, Italy and INFN, Sezione di Torino, Torino 10125, Italy
| | - C Peroni
- Department of Physics, University of Torino, Torino 10125, Italy and INFN, Sezione di Torino, Torino 10125, Italy
| | - M Saletta
- INFN, Sezione di Torino, Torino 10125, Italy
| | - N Camarlinghi
- Department of Physics, University of Pisa, Pisa 56127, Italy and INFN, Sezione di Pisa, Pisa 56127, Italy
| | - M E Fantacci
- Department of Physics, University of Pisa, Pisa 56127, Italy and INFN, Sezione di Pisa, Pisa 56127, Italy
| | - P Cerello
- INFN, Sezione di Torino, Torino 10125, Italy
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Biagi L, Bisogni MG, Camarlinghi N, Costagli M, Sportelli G, Tosetti M, Del Guerra A, Belcari N. Evaluation of DC/DC switching power regulation with small-scale integrated inductors for PET/MR. EJNMMI Phys 2015; 2:A14. [PMID: 26956269 PMCID: PMC4798655 DOI: 10.1186/2197-7364-2-s1-a14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Laura Biagi
- IRCCS Fondazione Stella Maris and Fondazione Imago 7, Calambrone, Pisa, Italy
| | | | | | - Mauro Costagli
- IRCCS Fondazione Stella Maris and Fondazione Imago 7, Calambrone, Pisa, Italy
| | | | - Michela Tosetti
- IRCCS Fondazione Stella Maris and Fondazione Imago 7, Calambrone, Pisa, Italy
| | | | - Nicola Belcari
- Department of Physics, University of Pisa and INFN, Pisa, Italy
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Sportelli G, Belcari N, Bisogni MG, Camarlinghi N, Zaccaro E, Del Guerra A. A single-mode data acquisition architecture for PET/MRI. EJNMMI Phys 2015; 2:A19. [PMID: 26956274 PMCID: PMC4798653 DOI: 10.1186/2197-7364-2-s1-a19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Cerello P, Battistoni G, Belcari N, Bisogni M, Camarlinghi N, Cicirello F, Cirrone G, Coli S, Corsi F, Cuttone G, De Lucia E, Del Guerra A, Delogu P, Faccini R, Ferretti S, Fiorina E, Giraudo G, Kraan A, Licciulli F, Liu B, Marino N, Marzocca C, Mataresse G, Morone C, Morrocchi M, Muraro S, Nicoloni R, Pennazio F, Peroni C, Piersanti L, Piliero M, Pirrone G, Rivetti A, Romano F, Rosso V, Sal P, Sarti A, Sciubba A, Sportelli G, Wheadon R. 44: Simulation of Hadrontherapy In-beam monitoring at CNAO with the INSIDE detector. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)34065-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Patera V, Battistoni G, Belcari N, Bisogni M, Camarlinghi N, Cerello P, Ciciriello F, Cirrone G, Coli S, Corsi F, Cuttone G, De Lucia E, Del Guerra A, Delogu P, Faccini R, Ferretti S, Fiorina E, Giraudo G, Kraan A, Licciulli F, Liu B, Marino N, Marzocca C, Matarrese G, Morone C, Morrocchi M, Muraro S, Nicolini R, Peroni C, Piersanti L, Piliero M, Pirrone G, Rivetti A, Romano F, Rosso V, Sala P, Sarti A, Sciubba A, Sportelli G, Wheadon R. 152: An integrated monitoring system for the on-line assessment of particle therapy treatment accuracy. Radiother Oncol 2014. [DOI: 10.1016/s0167-8140(15)34173-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Sportelli G, Belcari N, Camarlinghi N, Cirrone GAP, Cuttone G, Ferretti S, Kraan A, Ortuño JE, Romano F, Santos A, Straub K, Tramontana A, Guerra AD, Rosso V. First full-beam PET acquisitions in proton therapy with a modular dual-head dedicated system. Phys Med Biol 2013; 59:43-60. [DOI: 10.1088/0031-9155/59/1/43] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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