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Castriconi R, Tudda A, Placidi L, Benecchi G, Cagni E, Dusi F, Ianiro A, Landoni V, Malatesta T, Mazzilli A, Meffe G, Oliviero C, Rambaldi Guidasci G, Scaggion A, Trojani V, Del Vecchio A, Fiorino C. Inter-institutional variability of knowledge-based plan prediction of left whole breast irradiation. Phys Med 2024; 120:103331. [PMID: 38484461 DOI: 10.1016/j.ejmp.2024.103331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 02/05/2024] [Accepted: 03/08/2024] [Indexed: 04/19/2024] Open
Abstract
PURPOSE Within a multi-institutional project, we aimed to assess the transferability of knowledge-based (KB) plan prediction models in the case of whole breast irradiation (WBI) for left-side breast irradiation with tangential fields (TF). METHODS Eight institutions set KB models, following previously shared common criteria. Plan prediction performance was tested on 16 new patients (2 pts per centre) extracting dose-volume-histogram (DVH) prediction bands of heart, ipsilateral lung, contralateral lung and breast. The inter-institutional variability was quantified by the standard deviations (SDint) of predicted DVHs and mean-dose (Dmean). The transferability of models, for the heart and the ipsilateral lung, was evaluated by the range of geometric Principal Component (PC1) applicability of a model to test patients of the other 7 institutions. RESULTS SDint of the DVH was 1.8 % and 1.6 % for the ipsilateral lung and the heart, respectively (20 %-80 % dose range); concerning Dmean, SDint was 0.9 Gy and 0.6 Gy for the ipsilateral lung and the heart, respectively (<0.2 Gy for contralateral organs). Mean predicted doses ranged between 4.3 and 5.9 Gy for the ipsilateral lung and 1.1-2.3 Gy for the heart. PC1 analysis suggested no relevant differences among models, except for one centre showing a systematic larger sparing of the heart, concomitant to a worse PTV coverage, due to high priority in sparing the left anterior descending coronary artery. CONCLUSIONS Results showed high transferability among models and low inter-institutional variability of 2% for plan prediction. These findings encourage the building of benchmark models in the case of TF-WBI.
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Affiliation(s)
- Roberta Castriconi
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milano, Italy.
| | - Alessia Tudda
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milano, Italy; Università Statale di Milano, Milano, Italy
| | - Lorenzo Placidi
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giovanna Benecchi
- Medical Physics Dept, University Hospital of Parma AOUP, Parma, Italy
| | - Elisabetta Cagni
- Medical Physics Unit, Department of Advanced Technology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Francesca Dusi
- Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Anna Ianiro
- IRCCS Istituto Nazionale dei Tumori Regina Elena, Rome, Italy
| | - Valeria Landoni
- IRCCS Istituto Nazionale dei Tumori Regina Elena, Rome, Italy
| | - Tiziana Malatesta
- UOC di Radioterapia Oncologica, Fatebenefratelli Isola Tiberina - Gemelli Isola, Roma, Italy
| | - Aldo Mazzilli
- Medical Physics Dept, University Hospital of Parma AOUP, Parma, Italy
| | - Guenda Meffe
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | | | | | - Alessandro Scaggion
- Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Valeria Trojani
- Medical Physics Unit, Department of Advanced Technology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Claudio Fiorino
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milano, Italy
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Maddalo M, Bertolotti L, Mazzilli A, Flore AGM, Perotta R, Pagnini F, Ziglioli F, Maestroni U, Martini C, Caruso D, Ghetti C, De Filippo M. Small Renal Masses: Developing a Robust Radiomic Signature. Cancers (Basel) 2023; 15:4565. [PMID: 37760532 PMCID: PMC10527518 DOI: 10.3390/cancers15184565] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background and (2) Methods: In this retrospective, observational, monocentric study, we selected a cohort of eighty-five patients (age range 38-87 years old, 51 men), enrolled between January 2014 and December 2020, with a newly diagnosed renal mass smaller than 4 cm (SRM) that later underwent nephrectomy surgery (partial or total) or tumorectomy with an associated histopatological study of the lesion. The radiomic features (RFs) of eighty-five SRMs were extracted from abdominal CTs bought in the portal venous phase using three different CT scanners. Lesions were manually segmented by an abdominal radiologist. Image analysis was performed with the Pyradiomic library of 3D-Slicer. A total of 108 RFs were included for each volume. A machine learning model based on radiomic features was developed to distinguish between benign and malignant small renal masses. The pipeline included redundant RFs elimination, RFs standardization, dataset balancing, exclusion of non-reproducible RFs, feature selection (FS), model training, model tuning and validation of unseen data. (3) Results: The study population was composed of fifty-one RCCs and thirty-four benign lesions (twenty-five oncocytomas, seven lipid-poor angiomyolipomas and two renal leiomyomas). The final radiomic signature included 10 RFs. The average performance of the model on unseen data was 0.79 ± 0.12 for ROC-AUC, 0.73 ± 0.12 for accuracy, 0.78 ± 0.19 for sensitivity and 0.63 ± 0.15 for specificity. (4) Conclusions: Using a robust pipeline, we found that the developed RFs signature is capable of distinguishing RCCs from benign renal tumors.
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Affiliation(s)
- Michele Maddalo
- Medical Physics Unit, University Hospital of Parma, 43126 Parma, Italy; (M.M.); (A.M.); (C.G.)
| | - Lorenzo Bertolotti
- Department of Medicine and Surgery, Section of Radiology, University of Parma, Via Gramsci 14, 43126 Parma, Italy; (L.B.); (R.P.); (C.M.)
| | - Aldo Mazzilli
- Medical Physics Unit, University Hospital of Parma, 43126 Parma, Italy; (M.M.); (A.M.); (C.G.)
| | | | - Rocco Perotta
- Department of Medicine and Surgery, Section of Radiology, University of Parma, Via Gramsci 14, 43126 Parma, Italy; (L.B.); (R.P.); (C.M.)
| | - Francesco Pagnini
- Diagnostic Department, Parma University Hospital, Via Gramsci 14, 43126 Parma, Italy;
| | - Francesco Ziglioli
- Department of Urology, Parma University Hospital, Via Gramsci 14, 43126 Parma, Italy; (F.Z.); (U.M.)
| | - Umberto Maestroni
- Department of Urology, Parma University Hospital, Via Gramsci 14, 43126 Parma, Italy; (F.Z.); (U.M.)
| | - Chiara Martini
- Department of Medicine and Surgery, Section of Radiology, University of Parma, Via Gramsci 14, 43126 Parma, Italy; (L.B.); (R.P.); (C.M.)
- Diagnostic Department, Parma University Hospital, Via Gramsci 14, 43126 Parma, Italy;
| | - Damiano Caruso
- Radiology Unit, Department of Medical Surgical Sciences and Translational Medicine, Sant’Andrea University Hospital, Sapienza-University of Rome, 00100 Rome, Italy
| | - Caterina Ghetti
- Medical Physics Unit, University Hospital of Parma, 43126 Parma, Italy; (M.M.); (A.M.); (C.G.)
| | - Massimo De Filippo
- Department of Medicine and Surgery, Section of Radiology, University of Parma, Via Gramsci 14, 43126 Parma, Italy; (L.B.); (R.P.); (C.M.)
- Diagnostic Department, Parma University Hospital, Via Gramsci 14, 43126 Parma, Italy;
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Castriconi R, Placidi L, Avanzo M, Cirio R, Gallo P, Mazzilli A, Milano A, Rancati T, Russo P, Garibaldi C. Survey on the interest and commitment of AIFM members to scientific activities (SicAS) - The initiative of the FutuRuS working group. Phys Med 2023; 110:102589. [PMID: 37254301 DOI: 10.1016/j.ejmp.2023.102589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 03/03/2023] [Accepted: 04/10/2023] [Indexed: 06/01/2023] Open
Abstract
PURPOSE The "FutuRuS" working group of the Italian Association of Medical Physics and Health Physics (AIFM) designed a survey (SicAS) to get feedback from its members regarding their interests and their experience in taking part in scientific activities and events, with the objective of focusing future efforts of the AIFM towards increasing the scientific activity of the medical physics expert (MPE). METHODS SicAS was sent out in March 2022 to all AIFM members by newsletter and official communication. SicAS was structured into three sections: personal information and institution of affiliation information, involvement in scientific activities, interest in and commitment to scientific activities. Responses were collected in a fully anonymised mode from the Google Forms platform and analysed with descriptive statistics. RESULTS Out of 1289 members (active at the end of 2021), 467 responded to the Survey (response rate of 36%). The Survey results highlighted that AIFM members ranked the involvement of the MPE in scientific activities as highly relevant to the profession. However, 34.7% indicated devoting less than 10% of their working time to scientific activities. 67.5% of the respondents were dissatisfied with the time spent on scientific activities. The primary barrier was the lack of time (77%), followed by a lack of mentoring (32%). CONCLUSIONS SicAS highlighted the need for AIFM initiatives to support members' scientific activities. National societies should help develop and support networks between members, create links among universities, hospitals, research institutions and industries, and provide guidelines and learning platforms for enhancing the MPEs' involvement in scientific activities.
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Affiliation(s)
- R Castriconi
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - L Placidi
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Roma, Italy
| | - M Avanzo
- Department of Medical Physics, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, PN, Italy
| | - R Cirio
- Università degli Studi di Torino, Torino 10125, Italy; INFN - National Institute for Nuclear Physics, Torino, Italy
| | - P Gallo
- IRCCS Humanitas Research Hospital, Medical Physics Unit, via Manzoni 56, Rozzano, Milan, Italy.
| | - A Mazzilli
- Medical Physics Dept, University Hospital of Parma AOUP, Parma, Italy
| | - A Milano
- Università Cattolica Sacro Cuore, Rome, Italy
| | - T Rancati
- Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - P Russo
- Università di Napoli Federico II, Dipartimento di Fisica "Ettore Pancini", Napoli, Italy; INFN - National Institute for Nuclear Physics, Napoli, Italy
| | - C Garibaldi
- Unit of Radiation Research, IEO European Institute of Oncology, IRCCS, Milano, Italy
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Tudda A, Castriconi R, Benecchi G, Cagni E, Cicchetti A, Dusi F, Esposito P, Guidasci GR, Guernieri M, Ianiro A, Landoni V, Mazzilli A, Moretti E, Oliviero C, Placidi L, Rancati T, Trojani V, Scaggion A, Fiorino C. TRANSFERABILITY OF KNOWLEDGE BASED (KB) PLAN PREDICTION MODELS FOR RIGHT-WHOLE BREAST IRRADIATION (R-WBI). Phys Med 2022. [DOI: 10.1016/s1120-1797(22)02382-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Tudda A, Castriconi R, Benecchi G, Cagni E, Cicchetti A, Dusi F, Esposito PG, Guernieri M, Ianiro A, Landoni V, Mazzilli A, Moretti E, Oliviero C, Placidi L, Rambaldi Guidasci G, Rancati T, Scaggion A, Trojani V, Fiorino C. Knowledge-based multi-institution plan prediction of whole breast irradiation with tangential fields. Radiother Oncol 2022; 175:10-16. [PMID: 35868603 DOI: 10.1016/j.radonc.2022.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 07/07/2022] [Accepted: 07/09/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE To quantify inter-institute variability of Knowledge-Based (KB) models for right breast cancer patients treated with tangential fields whole breast irradiation (WBI). MATERIALS AND METHODS Ten institutions set KB models by using RapidPlan (Varian Inc.), following previously shared methodologies. Models were tested on 20 new patients from the same institutes, exporting DVH predictions of heart, ipsilateral lung, contralateral lung, and contralateral breast. Inter-institute variability was quantified by the inter-institute SDint of predicted DVHs/Dmean. Association between lung sparing vs PTV coverage strategy was also investigated. The transferability of models was evaluated by the overlap of each model's geometric Principal Component (PC1) when applied to the test patients of the other 9 institutes. RESULTS The overall inter-institute variability of DVH/Dmean ipsilateral lung dose prediction, was less than 2% (20%-80% dose range) and 0.55 Gy respectively (1SD) for a 40 Gy in 15 fraction schedule; it was < 0.2 Gy for other OARs. Institute 6 showed the lowest mean dose prediction value and no overlap between PTV and ipsilateral lung. Once excluded, the predicted ipsilateral lung Dmean was correlated with median PTV D99% (R2 = 0.78). PC1 values were always within the range of applicability (90th percentile) for 7 models: for 2 models they were outside in 1/18 cases. For the model of institute 6, it failed in 7/18 cases. The impact of inter-institute variability of dose calculation was tested and found to be almost negligible. CONCLUSIONS Results show limited inter-institute variability of plan prediction models translating in high inter-institute interchangeability, except for one of ten institutes. These results encourage future investigations in generating benchmarks for plan prediction incorporating inter-institute variability.
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Affiliation(s)
- Alessia Tudda
- Medical Physics Dept, San Raffaele Scientific Institute, Milano, Italy; Università Statale di Milano, Milano, Italy
| | | | | | - Elisabetta Cagni
- Medical Physics Unit, Department of Advanced Technology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Francesca Dusi
- Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | | | - Marika Guernieri
- Department of Medical Physics, University Hospital, Udine, Italy
| | - Anna Ianiro
- Istituto Nazionale dei Tumori Regina Elena, Rome, Italy
| | | | - Aldo Mazzilli
- Medical Physics Dept, University Hospital of Parma AOUP, Italy
| | - Eugenia Moretti
- Department of Medical Physics, University Hospital, Udine, Italy
| | | | - Lorenzo Placidi
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giulia Rambaldi Guidasci
- Amethyst Radioterapia Italia, Medical Physics Department, San Giovanni Calibita Fatebenefratelli Hospital, Rome, Italy
| | - Tiziana Rancati
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Scaggion
- Medical Physics Department, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - Valeria Trojani
- Medical Physics Unit, Department of Advanced Technology, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Claudio Fiorino
- Medical Physics Dept, San Raffaele Scientific Institute, Milano, Italy
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Varallo A, Sarno A, Castriconi R, Mazzilli A, Loria A, Del Vecchio A, Orientale A, Pilotti IAM, D'Andria P, Bliznakova K, Ricciardi R, Mettivier G, Russo P. Fabrication of 3D printed patient-derived anthropomorphic breast phantoms for mammography and digital breast tomosynthesis: Imaging assessment with clinical X-ray spectra. Phys Med 2022; 98:88-97. [PMID: 35526373 DOI: 10.1016/j.ejmp.2022.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/08/2022] [Accepted: 04/11/2022] [Indexed: 10/18/2022] Open
Abstract
PURPOSE To design, fabricate and characterize 3D printed, anatomically realistic, compressed breast phantoms for digital mammography (DM) and digital breast tomosynthesis (DBT) x-ray imaging. MATERIALS We realized 3D printed phantoms simulating healthy breasts, via fused deposition modeling (FDM), with a layer resolution of 0.1 mm and 100% infill density, using a dual extruder printer. The digital models were derived from a public dataset of segmented clinical breast computed tomography scans. Three physical phantoms were printed in polyethylene terephthalate (PET), acrylonitrile-butadiene-styrene (ABS), or in polylactic-acid (PLA) materials, using ABS as a substitute for adipose tissue, and PLA or PET filaments for replicating glandular and skin tissues. 3D printed phantoms were imaged at three clinical centers with DM and DBT scanners, using typical spectra. Anatomical noise of the manufactured phantoms was evaluated via the estimates of the β parameter both in DM images and in images acquired via a clinical computed tomography (CT) scanner. RESULTS DM and DBT phantom images showed an inner texture qualitatively similar to the images of a clinical DM or DBT exam, suitably reproducing the glandular structure of their computational phantoms. β parameters evaluated in DM images of the manufactured phantoms ranged between 2.84 and 3.79; a lower β was calculated from the CT scan. CONCLUSIONS FDM 3D printed compressed breast phantoms have been fabricated using ABS, PLA and PET filaments. DM and DBT images with clinical x-ray spectra showed realistic textures. These phantoms appear promising for clinical applications in quality assurance, image quality and dosimetry assessments.
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Affiliation(s)
- Antonio Varallo
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy; University of Naples Federico II, Specialty School of Medical Physics, Naples, Italy
| | - Antonio Sarno
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy
| | - Roberta Castriconi
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Aldo Mazzilli
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milan, Italy; University Hospital of Parma, Parma, Italy
| | - Alessandro Loria
- Medical Physics Dept, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Antonio Orientale
- University Hospital "San Giovanni di Dio Ruggi D'Aragona", Salerno, Italy
| | | | - Pasquale D'Andria
- University Hospital "San Giovanni di Dio Ruggi D'Aragona", Salerno, Italy
| | | | - Roberta Ricciardi
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy; University of Naples Federico II, Specialty School of Medical Physics, Naples, Italy
| | - Giovanni Mettivier
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy.
| | - Paolo Russo
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy
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Maddalo M, Mazzilli A, Benecchi G, D'Abbiero N, Ghetti C. PO-1664 Faster treatment using Halcyon linear accelerator: the experience of Parma University Hospital. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03628-3] [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: 11/16/2022]
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tudda A, Castriconi R, Benecchi G, Cagni E, Dusi F, Esposito P, Rambaldi Guidasci G, Guernieri M, Ianiro A, Landoni V, Mazzilli A, Moretti E, Oliviero C, Placidi L, Rancati T, Trojani V, Scaggion A, Fiorino C. PD-0733 Parameters influencing inter-Institute variability in KB plan prediction models for whole breast RT. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02928-0] [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: 11/29/2022]
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Russo P, Varallo A, Castriconi R, Mazzilli A, Sarno A, Loria A, del Vecchio A, Orientale A, Pilotti I, D’Andria P, Bliznakova K, Mettivier G. Patient-derived 3D printed breast phantoms for mammography and digital breast tomosynthesis. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00109-0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Piai A, Loria A, Esposito P, Mazzilli A, Tiberio P, Sconfienza L, del Vecchio A. Organ dose evaluation in radiological monitoring of paediatric Ollier disease. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00238-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Pepe FV, Di Lena F, Mazzilli A, Edrei E, Garuccio A, Scarcelli G, D'Angelo M. Diffraction-Limited Plenoptic Imaging with Correlated Light. Phys Rev Lett 2017; 119:243602. [PMID: 29286709 DOI: 10.1103/physrevlett.119.243602] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Indexed: 06/07/2023]
Abstract
Traditional optical imaging faces an unavoidable trade-off between resolution and depth of field (DOF). To increase resolution, high numerical apertures (NAs) are needed, but the associated large angular uncertainty results in a limited range of depths that can be put in sharp focus. Plenoptic imaging was introduced a few years ago to remedy this trade-off. To this aim, plenoptic imaging reconstructs the path of light rays from the lens to the sensor. However, the improvement offered by standard plenoptic imaging is practical and not fundamental: The increased DOF leads to a proportional reduction of the resolution well above the diffraction limit imposed by the lens NA. In this Letter, we demonstrate that correlation measurements enable pushing plenoptic imaging to its fundamental limits of both resolution and DOF. Namely, we demonstrate maintaining the imaging resolution at the diffraction limit while increasing the depth of field by a factor of 7. Our results represent the theoretical and experimental basis for the effective development of promising applications of plenoptic imaging.
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Affiliation(s)
| | - Francesco Di Lena
- INFN, Sezione di Bari, I-70126 Bari, Italy
- Dipartimento Interateneo di Fisica, Università degli studi di Bari, I-70126 Bari, Italy
| | - Aldo Mazzilli
- Dipartimento Interateneo di Fisica, Università degli studi di Bari, I-70126 Bari, Italy
| | - Eitan Edrei
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland 20742, USA
| | - Augusto Garuccio
- INFN, Sezione di Bari, I-70126 Bari, Italy
- Dipartimento Interateneo di Fisica, Università degli studi di Bari, I-70126 Bari, Italy
- Istituto Nazionale di Ottica (INO-CNR), I-50125 Firenze, Italy
| | - Giuliano Scarcelli
- Fischell Department of Bioengineering, University of Maryland, College Park, Maryland 20742, USA
| | - Milena D'Angelo
- INFN, Sezione di Bari, I-70126 Bari, Italy
- Dipartimento Interateneo di Fisica, Università degli studi di Bari, I-70126 Bari, Italy
- Istituto Nazionale di Ottica (INO-CNR), I-50125 Firenze, Italy
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D'Angelo M, Mazzilli A, Pepe FV, Garuccio A, Tamma V. Characterization of two distant double-slits by chaotic light second-order interference. Sci Rep 2017; 7:2247. [PMID: 28533523 PMCID: PMC5440408 DOI: 10.1038/s41598-017-02236-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Accepted: 02/28/2017] [Indexed: 11/09/2022] Open
Abstract
We present the experimental characterization of two distant double-slit masks illuminated by chaotic light, in the absence of first-order imaging and interference. The scheme exploits second-order interference of light propagating through two indistinguishable pairs of disjoint optical paths passing through the masks of interest. The proposed technique leads to a deeper understanding of biphoton interference and coherence, and opens the way to the development of novel schemes for retrieving information on the relative position and the spatial structure of distant objects, which is of interest in remote sensing, biomedical imaging, as well as monitoring of laser ablation, when first-order imaging and interference are not feasible.
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Affiliation(s)
- Milena D'Angelo
- Dipartimento Interateneo di Fisica, Università degli Studi di Bari, I-70126, Bari, Italy.
- Instituto Nazionale Di Fisica Nucleare, sezione di Bari, I-70126, Bari, Italy.
- Istituto Nazionale di Ottica (INO-CNR), I-50125, Firenze, Italy.
| | - Aldo Mazzilli
- Dipartimento Interateneo di Fisica, Università degli Studi di Bari, I-70126, Bari, Italy
| | - Francesco V Pepe
- Instituto Nazionale Di Fisica Nucleare, sezione di Bari, I-70126, Bari, Italy
- Museo storico della fisica e centro studi e ricerche "Enrico Fermi", I-00184, Roma, Italy
| | - Augusto Garuccio
- Dipartimento Interateneo di Fisica, Università degli Studi di Bari, I-70126, Bari, Italy
- Instituto Nazionale Di Fisica Nucleare, sezione di Bari, I-70126, Bari, Italy
- Istituto Nazionale di Ottica (INO-CNR), I-50125, Firenze, Italy
| | - Vincenzo Tamma
- Institut für Quantenphysik and Center for Integrated Quantum Science and Technology (IQST), Universität Ulm, D-89069, Ulm, Germany.
- Institute of Cosmology & Gravitation, University of Portsmouth, Dennis Sciama Building, Burnaby Road, PO1 3FX, Portsmouth, United Kingdom.
- Faculty of Science, SEES, University of Portsmouth, Portsmouth, PO1 3QL, United Kingdom.
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