Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jean Michel LETANG"'
Autor:
Marco ePinto, Denis eDauvergne, Nicolas eFreud, Jochen eKrimmer, Jean Michel Letang, Etienne eTesta
Publikováno v:
Frontiers in Oncology, Vol 6 (2016)
Monte Carlo tools have been long used to assist the research and development of solutions for proton therapy monitoring. The present work focuses on the prompt-gamma emission yields by comparing experimental data with the outcomes of the current vers
Externí odkaz:
https://doaj.org/article/6d4fbfdcd6b645aa809ead44e6cc0a9a
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences
IEEE Transactions on Radiation and Plasma Medical Sciences, 2022, 6 (8), pp.847-858. ⟨10.1109/TRPMS.2022.3167334⟩
IEEE Transactions on Radiation and Plasma Medical Sciences, 2022, 6 (8), pp.847-858. ⟨10.1109/TRPMS.2022.3167334⟩
Proton computed tomography (pCT) suffers from a lower spatial resolution compared to X-ray CT due to the stochastic non-linear proton paths. The most likely path (MLP) formalism provides an estimate for the proton path as well as the uncertainty arou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0264af3f08c271afb40e3c8f7427425
https://hal.science/hal-03656408/document
https://hal.science/hal-03656408/document
Publikováno v:
Materials Characterization. 194:112431
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df58f439bf3d74792644f55d94c96032
https://doi.org/10.1016/j.matchar.2022.112431
https://doi.org/10.1016/j.matchar.2022.112431
Autor:
Pierre Everaere, Denis Dauvergne, Marie-Laure Gallin-Martel, Joël Hérault, Ayoub Koudia, Charbel Koumeir, Jean Michel Létang, Étienne Testa
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: We propose a method for prompt-gamma verification of proton range during particle therapy, called Prompt-Gamma Energy Integration (PGEI).Method: This method is based on the measurement of the total energy deposited in a set of detectors
Externí odkaz:
https://doaj.org/article/fd8fdd2458d14ff395976f56ddb99fda
Publikováno v:
Instruments, Vol 8, Iss 1, p 8 (2024)
X-ray phase-contrast imaging (XPCI) is a family of imaging techniques that makes contrast visible due to phase shifts in the sample. Phase-sensitive techniques can potentially be several orders of magnitude more sensitive than attenuation-based techn
Externí odkaz:
https://doaj.org/article/34f0aab6a6d944eeb297ecf396b086dd
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Synchrotron Radiation Computed Tomography (SRCT) allows a better detection of fatigue cracks in metals than laboratory CT due to the existence of phase contrast. However the presence in reconstructed images of fringes at the edges of objects
Externí odkaz:
https://doaj.org/article/c12a68ff95bc4ebe97101a0f06f2e722
Publikováno v:
Tomography
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90d2f38aee224ad1d6711a89141b23cc
https://doi.org/10.1002/9780470611784.ch8
https://doi.org/10.1002/9780470611784.ch8
Publikováno v:
Sixth International Conference on Quality Control by Artificial Vision
Sixth International Conference on Quality Control by Artificial Vision, 2003, Unknown, Unknown Region. pp.422--433
Sixth International Conference on Quality Control by Artificial Vision, 2003, Unknown, Unknown Region. pp.422--433
We present in this paper a technique that makes benefit of a virtual X-ray simulation tool to both assess the optimal spectra and calibrate a dual-energy technique. The proposed method is applied to the selective imaging of glass wool materials. To o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a9ed0fb576644d077327949ffeb93a
https://hal.archives-ouvertes.fr/hal-01921620
https://hal.archives-ouvertes.fr/hal-01921620
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/5ecc5fad590c45828e8069ad3fb9d633
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Externí odkaz:
https://doaj.org/article/ebfd258164fe42368cbe721065ee5a0c