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Journal articles on the topic 'Imageur portal'

Author: Grafiati

Published: 22 July 2022

Last updated: 31 July 2025

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1

Santoro, L., N. Aillères, S. Siméon, and P. Fenoglietto. "Vérification dosimétrique des traitements en conditions stéréotaxiques par imageur portal." Cancer/Radiothérapie 13, no. 6-7 (2009): 671. http://dx.doi.org/10.1016/j.canrad.2009.08.072.

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2

Fenoglietto, P., L. Bedos, N. Aillères, and J. Molinier. "Évaluation de la qualité des arcthérapies volumétriques modulées (VMAT) synchronisées à la respiration par imageur portal." Cancer/Radiothérapie 17, no. 5-6 (2013): 619–20. http://dx.doi.org/10.1016/j.canrad.2013.07.096.

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3

Largeron, G., S. Fafi, D. Nguyen, F. Josserand-Pietri, and M. Khodri. "Évaluation d’un nouveau logiciel de dosimétrie in vivo tridimensionnelle par imageur portal pour arcthérapie volumétrique modulée." Cancer/Radiothérapie 17, no. 5-6 (2013): 622. http://dx.doi.org/10.1016/j.canrad.2013.07.103.

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4

Benhalouche, S., J. Bert, O. Pradier, D. Visvikis, and N. Boussion. "Tomographie conique de 6 MV : simulation et évaluation GATE v6.2 Monte-Carlo d’un imageur portal avec application spécifique en radiothérapie ORL." Cancer/Radiothérapie 17, no. 5-6 (2013): 620. http://dx.doi.org/10.1016/j.canrad.2013.07.098.

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5

Dale, G. "Towards an evidence-based portal imaging protocol for prostate cancer. A critical review of the literature." Journal of Radiotherapy in Practice 3, no. 2 (2003): 91–99. http://dx.doi.org/10.1017/s1460396903000074.

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This article reviews portal imaging undertaken for prostate cancer with the intention of developing an imaging protocol for this category of patient. It explores the online and offline approaches of electronic portal imaging, when intervention for field placement errors (FPE) should take place and who actually makes this decision. The choice of reference image is discussed and the questions the use of re-simulation. This paper concludes that it is necessary to image for three fractions in the first week in order to highlight systematic errors, that an electronic portal imager is cost effective

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6

Jaffray, D. A., K. Chawla, D. G. Drake, and J. W. Wong. "Characterization of A re-designed clinical fluoroscopic portal imager." Radiotherapy and Oncology 37 (October 1995): S63. http://dx.doi.org/10.1016/0167-8140(96)80676-1.

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7

Nicolini, G., E. Vanetti, A. Clivio, A. Fogliata, G. Boka, and L. Cozzi. "Testing the portal imager GLAaS algorithm for machine quality assurance." Radiation Oncology 3, no. 1 (2008): 14. http://dx.doi.org/10.1186/1748-717x-3-14.

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8

Juste, B., R. Miró, S. Diez, J. M. Campayo, and G. Verdú. "Monte Carlo simulation of the iView GT portal imager dosimetry." Applied Radiation and Isotopes 68, no. 4-5 (2010): 922–25. http://dx.doi.org/10.1016/j.apradiso.2009.10.051.

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9

Zhang, Miao, Songbing Qin, Ting Chen, et al. "A Clinical Objective IMRT QA Method Based on Portal Dosimetry and Electronic Portal Imager Device (EPID) Measurement." Technology in Cancer Research & Treatment 12, no. 2 (2013): 145–50. http://dx.doi.org/10.7785/tcrt.2012.500314.

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10

Chytyk, K., and B. M. C. McCurdy. "Investigation of tilted dose kernels for portal dose prediction in a-Si electronic portal imagers." Medical Physics 33, no. 9 (2006): 3333–39. http://dx.doi.org/10.1118/1.2259819.

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11

Pang, G., D. L. Lee, and J. A. Rowlands. "Investigation of a direct conversion flat panel imager for portal imaging." Medical Physics 28, no. 10 (2001): 2121–28. http://dx.doi.org/10.1118/1.1405844.

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12

Dos Santos, Eliane Davila, and Gislene Feiten Haubrich. "Portal Rede Mulheres Empreendedoras: empreendedorismo, cultura e imagens de si." Letras de Hoje 53, no. 3 (2018): 412. http://dx.doi.org/10.15448/1984-7726.2018.3.30670.

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O artigo trata da temática do empreendedorismo, em especial do ethos da mulher empreendedora. Tem como objetivo analisar a representação do empreendedorismo feminino e identificar os aspectos culturais que se manifestam nas cenas enunciativas e no ethos discursivo em materialidades discursivas divulgadas no Portal Rede Mulheres Empreendedoras. A análise discursiva está fundamentada na proposta de Maingueneau (1997, 2008a, b, 2011) e a construção do corpus tem como base a análise de conteúdo orientada por Bardin (2011)1. Como resultado principal, depreende-se que o ethos efetivo vincula-se à no

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13

Norvill, Craig, and Simon Goodall. "Investigation of pixel scale calibration on the Elekta iView electronic portal imager." Journal of Applied Clinical Medical Physics 22, no. 8 (2021): 148–55. http://dx.doi.org/10.1002/acm2.13339.

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14

Son, Jaeman, Jung-in Kim, Jong Min Park, and Chang Heon Choi. "Verification of Extended Source-To-Imager Distance (SID) Correction for Portal Dosimetry." Progress in Medical Physics 29, no. 4 (2018): 137. http://dx.doi.org/10.14316/pmp.2018.29.4.137.

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15

Simard, D., and S. Michalowski. "WE-C-AUD C-04: Automated Pretreatment Verification of Portal Imager Positioning." Medical Physics 35, no. 6Part23 (2008): 2936. http://dx.doi.org/10.1118/1.2962701.

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16

Budgell, G. J., Q. Zhang, R. J. Trouncer, and R. I. Mackay. "Improving IMRT quality control efficiency using an amorphous silicon electronic portal imager." Medical Physics 32, no. 11 (2005): 3267–78. http://dx.doi.org/10.1118/1.2074227.

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17

Partridge, Mike. "Reconstruction of megavoltage photon spectra from electronic portal imager derived transmission measurements." Physics in Medicine and Biology 45, no. 10 (2000): N115—N131. http://dx.doi.org/10.1088/0031-9155/45/10/401.

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18

Wang, Hui. "Development of a portal imager and of tools for radiation treatment verification." Medical Physics 24, no. 8 (1997): 1334. http://dx.doi.org/10.1118/1.597981.

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19

Jindal, D., S. Prakash, J. Sanghvi, B. Kartikeyan, and B. Gopala Krishna. "INSAT-3D Quality Analysis System (i3dQAS)." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 27, 2014): 257–63. http://dx.doi.org/10.5194/isprsarchives-xl-8-257-2014.

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INSAT-3D, an advanced meteorological satellite of ISRO carrying Imager and Sounder payloads is designed for acquiring data required for detailed climatological applications. At established data centres, Raw (L-0) data is processed to generate systematically corrected (Level-1) and geo-physical (Level-2) products which are further disseminated for use in climate related studies. Data quality evaluation (DQE) of basic data products of INSAT-3D is being operationally carried out at MOSDAC, Ahmedabad to monitor in-orbit sensor health, quantify data quality and provide feedback to various missions

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20

McCurdy, B., and K. Chytyk. "Po-Poster - 18: Investigation of tilted dose kernels for portal dose prediction in a-Si electronic portal imagers." Medical Physics 32, no. 7Part2 (2005): 2413. http://dx.doi.org/10.1118/1.2030997.

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21

Čotar, Klemen, Krištof Oštir, and Žiga Kokalj. "Radar Satellite Imagery and Automatic Detection of Water Bodies." Geodetski glasnik, no. 47 (December 31, 2016): 5–15. http://dx.doi.org/10.58817/2233-1786.2016.50.47.5.

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System for mapping of water bodies in Slovenia and its immediate neighbourhood with Sentinel-1 radar satellites have implemented. Algorithms automatically detect presence of new data in the archive, download the data, analyse it, write the results, and upload them to a web portal. New acquisitions are currently available every six days, but this time will be halved when the second Sentinel-1 starts delivering the data.

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22

Mamalui-Hunter, M., R. Drzymala, V. Willcut, L. Santanam, and D. Low. "TH-D-AUD-08: Automated Stereotactic Radiosurgery Quality Assurance Using a Portal Imager." Medical Physics 34, no. 6Part24 (2007): 2642. http://dx.doi.org/10.1118/1.2761727.

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23

Chen, Josephine, Cynthia F. Chuang, Olivier Morin, Michèle Aubin, and Jean Pouliot. "Calibration of an amorphous-silicon flat panel portal imager for exit-beam dosimetry." Medical Physics 33, no. 3 (2006): 584–94. http://dx.doi.org/10.1118/1.2168294.

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24

Pennell, R., G. Jozsef, and K. DeWyngaert. "SU-E-T-149: Couch and Gantry Rotation Isocenter QA Using Portal Imager." Medical Physics 40, no. 6Part12 (2013): 238. http://dx.doi.org/10.1118/1.4814584.

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25

Salem, Salem Ibrahim, Mitsuhiro Toratani, Hiroto Higa, SeungHyun Son, Eko Siswanto, and Joji Ishizaka. "Long-Term Evaluation of GCOM-C/SGLI Reflectance and Water Quality Products: Variability Among JAXA G-Portal and JASMES." Remote Sensing 17, no. 2 (2025): 221. https://doi.org/10.3390/rs17020221.

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The Global Change Observation Mission-Climate (GCOM-C) satellite, launched in December 2017, is equipped with the Second-generation Global Imager (SGLI) sensor, featuring a moderate spatial resolution of 250 m and 19 spectral bands, including the unique 380 nm band. After six years in orbit, a comprehensive evaluation of SGLI products and their temporal consistency is needed. Remote sensing reflectance (Rrs) is the primary product for monitoring water quality, forming the basis for deriving key oceanic constituents such as chlorophyll-a (Chla) and total suspended matter (TSM). The Japan Aerosp

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26

Sekaran, SurekaChandra, Arjunan Manikandan, Biplab Sarkar, and Sujatha Manikandan. "Simple electronic portal imager-based pretreatment quality assurance using Acuros XB: A feasibility study." Journal of Medical Physics 44, no. 4 (2019): 231. http://dx.doi.org/10.4103/jmp.jmp_84_19.

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27

Bailey, D., L. Kumaraswamy, and M. Podgorsak. "SU-E-T-156: Robust Algorithms for Correction of Predicted Electronic Portal Imager Response." Medical Physics 39, no. 6Part12 (2012): 3739. http://dx.doi.org/10.1118/1.4735214.

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28

Yan, Yung-Jhe, Nai-Lun Cheng, Chia-Ing Jan, Ming-Hsui Tsai, Jin-Chern Chiou, and Mang Ou-Yang. "Band-Selection of a Portal LED-Induced Autofluorescence Multispectral Imager to Improve Oral Cancer Detection." Sensors 21, no. 9 (2021): 3219. http://dx.doi.org/10.3390/s21093219.

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This aim of this study was to find effective spectral bands for the early detection of oral cancer. The spectral images in different bands were acquired using a self-made portable light-emitting diode (LED)-induced autofluorescence multispectral imager equipped with 365 and 405 nm excitation LEDs, emission filters with center wavelengths of 470, 505, 525, 532, 550, 595, 632, 635, and 695 nm, and a color image sensor. The spectral images of 218 healthy points in 62 healthy participants and 218 tumor points in 62 patients were collected in the ex vivo trials at China Medical University Hospital.

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29

Easterling, S., J. Ting, and T. Scarbrough. "SU-FF-T-21: A Method to Determine the Gantry Isocentricity with a Portal Imager." Medical Physics 34, no. 6Part7 (2007): 2405. http://dx.doi.org/10.1118/1.2760666.

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30

Nicolini, G., A. Fogliata, E. Vanetti, A. Clivio, and L. Cozzi. "396 On the absolute dose calibration of the PV-aS500 Varian Portal Imager for IMRT." Radiotherapy and Oncology 76 (September 2005): S174—S175. http://dx.doi.org/10.1016/s0167-8140(05)81372-6.

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31

Mosleh-Shirazi, M. A., W. Swindell, and P. M. Evans. "Optimization of the scintillation detector in a combined 3D megavoltage CT scanner and portal imager." Medical Physics 25, no. 10 (1998): 1880–90. http://dx.doi.org/10.1118/1.598377.

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32

Martin-Cabrera, Patricia, Fabien Lombard, Jean-Olivier Irisson, et al. "Coordinating Efforts to Define Marine Plankton Imagery Data and Metadata Best Practices and Standards." Biodiversity Information Science and Standards 4 (September 29, 2020): e58932. https://doi.org/10.3897/biss.4.58932.

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"Imagery data" can be referred as qualitative and quantitative information from a collection of images. Imaging systems are used more and more frequently in the marine domain to generate huge amounts of imagery data. For example, automatic image classification is used to determine the abundance, size and biomass of plankton communities. In addition, the recent advances of imaging sensors and the growing datasets, highlight the importance of the management and storage capacity of these data. Thus, establishing data standards, optimized data flows and quality control procedures will promote the

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33

Chytyk, K., and BMC McCurdy. "Po-Thur Eve General-15: Uncertainty of the parallel dose kernel assumption in portal dose prediction with a-Si electronic portal imagers." Medical Physics 33, no. 7Part2 (2006): 2662–63. http://dx.doi.org/10.1118/1.2244642.

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34

Teymurazyan, A., and G. Pang. "Megavoltage X-Ray Imaging Based on Cerenkov Effect: A New Application of Optical Fibres to Radiation Therapy." International Journal of Optics 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/724024.

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A Monte Carlo simulation was used to study imaging and dosimetric characteristics of a novel design of megavoltage (MV) X-ray detectors for radiotherapy applications. The new design uses Cerenkov effect to convert X-ray energy absorbed in optical fibres into light for MV X-ray imaging. The proposed detector consists of a matrix of optical fibres aligned with the incident X rays and coupled to an active matrix flat-panel imager (AMFPI) for image readout. Properties, such as modulation transfer function, detection quantum efficiency (DQE), and energy response of the detector, were investigated.

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35

Boudet, J., I. Bessières, and L. Aubignac. "Validation of a reference mechanical play of a portal imager for the rotating picket fence analysis." Physica Medica 92 (December 2021): S147. http://dx.doi.org/10.1016/s1120-1797(22)00313-1.

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36

Khan, R., O. Ostapiak, and J. Szabo. "SU-FF-T-293: Modeling An ASi Portal Imager Response Using a Commercial Treatment Planning Software." Medical Physics 34, no. 6Part12 (2007): 2469. http://dx.doi.org/10.1118/1.2760955.

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37

Yoo, S., R. Hammoud, F. Yin, H. Guan, D. Pradhan, and B. Movsas. "SU-FF-T-212: Quality Assurance (QA) Procedure of On-Board Imager (OBI) for Portal Imaging." Medical Physics 32, no. 6Part10 (2005): 1998. http://dx.doi.org/10.1118/1.1997940.

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38

Nicolini, Giorgia, Antonella Fogliata, Eugenio Vanetti, Alessandro Clivio, and Luca Cozzi. "GLAaS: An absolute dose calibration algorithm for an amorphous silicon portal imager. Applications to IMRT verifications." Medical Physics 33, no. 8 (2006): 2839–51. http://dx.doi.org/10.1118/1.2218314.

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39

Fan, Y., Z. Chen, and R. Nath. "Effects of Detector Spatial Resolution on 2D IMRT Dose Verification using MapCheck and Electronic Portal Imager." International Journal of Radiation Oncology*Biology*Physics 72, no. 1 (2008): S599—S600. http://dx.doi.org/10.1016/j.ijrobp.2008.06.216.

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40

Grayr, Aleksanyan, Katsupeev Andrey, Sulyz Andrey, Pyatnitsin Stanislav, and Peregorodiev Danil. "DEVELOPMENT OF THE WEB PORTAL FOR RESEARCH SUPPORT IN THE AREA OF ELECTRICAL IMPEDANCE TOMOGRAPHY." Eastern-European Journal of Enterprise Technologies 6, no. 2 (102) (2019): 6–15. https://doi.org/10.15587/1729-4061.2019.184318.

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The concept of electrical impedance tomography is considered. Modern software solutions implementing the methods and algorithms of electrical impedance tomography are studied. It is concluded that existing solutions for applied research and development in the field of electrical impedance tomography either do not implement differential reconstruction methods, or do not provide multi-user access. This imposes a number of limitations when conducting research and creates barriers to obtaining new results in the field of electrical impedance tomography. Given the current state of development of sc

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41

Gómez-Nieto, Begoña, Frade Alejandro Tapia, and Óscar Díaz-Chica. "La comunicación corporativa a través de las páginas web: el caso de las ONGs españolas." Vivat Academia 120 (September 15, 2012): 1–20. https://doi.org/10.5281/zenodo.10606940.

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Este trabajo analiza la comunicación corporativa de un centenar de empresas y organizaciones sin ánimo de lucro a través de sus portales Web. Para ello se recurrió a la técnica de análisis de contenido. Los resultados ponen de manifiesto la inadecuada gestión de la comunicación corporativa en este medio, con deficiencias notorias en el desarrollo de las posibilidades de uso del medio. Además, si bien formalmente se da importancia a la comunicación corporativa, también se acusa la ausencia de elementos comunicativos fu

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42

Hu, Yue-Houng, Matthew W. Jacobson, Mengying Shi, et al. "Feasibility of closed-MLC tracking using high sensitivity and multi-layer electronic portal imagers." Physics in Medicine & Biology 63, no. 23 (2018): 235030. http://dx.doi.org/10.1088/1361-6560/aaef60.

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43

Loot, Katharina, Oliver Waletzko, Ralf Rohn, Bernhard Spaan, and Andreas Block. "Analysis of resolution properties for three generations of MV imagers in radiation therapy using the modulation transfer function." Current Directions in Biomedical Engineering 3, no. 2 (2017): 661–63. http://dx.doi.org/10.1515/cdbme-2017-0139.

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AbstractImaging in radiation therapy has become an important part of clinical routine. In order to evaluate and compare the image quality of verification images from different imaging modalities, one needs objective criteria like the modulation transfer function (MTF). The aim of our study was to compare the resolution properties of three generations of electronic portal imaging devices (EPIDs), namely one fluoroscopic-optical system and two different flat-panel imaging systems.

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44

Valdez Velázquez, Nelson Andrés, Fredy Aurelio Doncel Invernizzi, and Marcelo Alejandro Godin Eirin. "Calibración del Detector Electrónico de Imagen Portal de Silicio Amorfo (ASIP) y su utilización como herramienta dosimétrica en Radioterapia con Acelerador Lineal." Reportes científicos de la FACEN 14, no. 2 (2023): 105–13. http://dx.doi.org/10.18004/rcfacen.2023.14.2.105.

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Este trabajo se realizó en el Servicio de Radioterapia de un Centro Oncológico Integral de la ciudad de Asunción, donde se encuentra la unidad de Acelerador Lineal (LINAC) marca ELEKTA, modelo INFINITY con energía nominal de fotones de 6 MV y 10 MV. La Dosimetría in vivo en Radioterapia de haz externo con Acelerador Lineal (Teleterapia) está basada en las mediciones con el Detector Electrónico de Imagen Portal de Silicio Amorfo (ASIP) o panel detector, el cual ofrece una solución más general, mediante la detección de errores y fallas en la distribución de dosis al paciente durante el tratamien

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45

Yao, B., W. Peng, L. Santanam, F. Van den Heuvel, and J. Burmeister. "SU-FF-T-163: Quantitative Verification of IMRT Intensity Maps Using An Amorphous Silicon Electronic Portal Imager." Medical Physics 32, no. 6Part9 (2005): 1987. http://dx.doi.org/10.1118/1.1997834.

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46

Chen, H., J. Chen, O. Morin, et al. "SU-FF-T-116: Calibration of the Perkin Elmer AG9 Flat Panel Portal Imager for Exit Dosimetry." Medical Physics 33, no. 6Part8 (2006): 2075. http://dx.doi.org/10.1118/1.2241041.

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47

Nicolini, G., A. Fogliata, E. Vanetti, A. Clivio, and L. Cozzi. "239 On the absolute dose calibration of the pvass00 portal imager from varian. Application to IMRT verification." Radiotherapy and Oncology 78 (March 2006): S84—S85. http://dx.doi.org/10.1016/s0167-8140(06)80716-4.

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48

Sha, Dexuan, Xin Miao, Mengchao Xu, et al. "An On-Demand Service for Managing and Analyzing Arctic Sea Ice High Spatial Resolution Imagery." Data 5, no. 2 (2020): 39. http://dx.doi.org/10.3390/data5020039.

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Sea ice acts as both an indicator and an amplifier of climate change. High spatial resolution (HSR) imagery is an important data source in Arctic sea ice research for extracting sea ice physical parameters, and calibrating/validating climate models. HSR images are difficult to process and manage due to their large data volume, heterogeneous data sources, and complex spatiotemporal distributions. In this paper, an Arctic Cyberinfrastructure (ArcCI) module is developed that allows a reliable and efficient on-demand image batch processing on the web. For this module, available associated datasets

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49

Daniel, J. H., A. Sawant, M. Teepe, C. Shih, R. A. Street, and L. E. Antonuk. "Fabrication of high aspect-ratio polymer microstructures for large-area electronic portal X-ray imagers." Sensors and Actuators A: Physical 140, no. 2 (2007): 185–93. http://dx.doi.org/10.1016/j.sna.2007.06.027.

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50

Orton, E. J., and J. L. Robar. "Megavoltage image contrast with low-atomic number target materials and amorphous silicon electronic portal imagers." Physics in Medicine and Biology 54, no. 5 (2009): 1275–89. http://dx.doi.org/10.1088/0031-9155/54/5/012.

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