Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Igor Bessieres"'
Autor:
Blanche Texier, Cédric Hémon, Adélie Queffélec, Jason Dowling, Igor Bessieres, Peter Greer, Oscar Acosta, Adrien Boue-Rafle, Renaud de Crevoisier, Caroline Lafond, Joël Castelli, Anaïs Barateau, Jean-Claude Nunes
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100612- (2024)
Background and purpose: Magnetic resonance imaging (MRI)-to-computed tomography (CT) synthesis is essential in MRI-only radiotherapy workflows, particularly through deep learning techniques known for their accuracy. However, current supervised method
Externí odkaz:
https://doaj.org/article/2df01f73d36c41818e47ef3d0b41267e
Autor:
You Zhou, Alain Lalande, Cédric Chevalier, Jérémy Baude, Léone Aubignac, Julien Boudet, Igor Bessieres
Publikováno v:
Frontiers in Oncology, Vol 13 (2024)
IntroductionLinear accelerator (linac) incorporating a magnetic resonance (MR) imaging device providing enhanced soft tissue contrast is particularly suited for abdominal radiation therapy. In particular, accurate segmentation for abdominal tumors an
Externí odkaz:
https://doaj.org/article/fa5d08f88f8e46519c2b3f66fd51f226
Autor:
Safaa Tahri, Blanche Texier, Jean-Claude Nunes, Cédric Hemon, Pauline Lekieffre, Emma Collot, Hilda Chourak, Jennifer Le Guevelou, Peter Greer, Jason Dowling, Oscar Acosta, Igor Bessieres, Louis Marage, Adrien Boue-Rafle, Renaud De Crevoisier, Caroline Lafond, Anaïs Barateau
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionFor radiotherapy based solely on magnetic resonance imaging (MRI), generating synthetic computed tomography scans (sCT) from MRI is essential for dose calculation. The use of deep learning (DL) methods to generate sCT from MRI has shown e
Externí odkaz:
https://doaj.org/article/a1d51ded1429495bb38f6ed943c64561
Autor:
Blanche Texier, Cédric Hémon, Pauline Lekieffre, Emma Collot, Safaa Tahri, Hilda Chourak, Jason Dowling, Peter Greer, Igor Bessieres, Oscar Acosta, Adrien Boue-Rafle, Jennifer Le Guevelou, Renaud de Crevoisier, Caroline Lafond, Joël Castelli, Anaïs Barateau, Jean-Claude Nunes
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 28, Iss , Pp 100511- (2023)
Background and Purpose: Addressing the need for accurate dose calculation in MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI has emerged. Deep learning (DL) techniques, have shown promising results in achieving h
Externí odkaz:
https://doaj.org/article/93f14f1c64e24cf186ea07d7a70d3cb3
Autor:
Emmanouil Koutoulakis, Louis Marage, Emmanouil Markodimitrakis, Leone Aubignac, Catherine Jenny, Igor Bessieres, Alain Lalande
Publikováno v:
Algorithms, Vol 16, Iss 11, p 521 (2023)
MR-Linac is a recent device combining a linear accelerator with an MRI scanner. The improved soft tissue contrast of MR images is used for optimum delineation of tumors or organs at risk (OARs) and precise treatment delivery. Automatic segmentation o
Externí odkaz:
https://doaj.org/article/346499f0e1b84f6892d321ac567a2df3
Autor:
Adeline Pêtre, MD, Magali Quivrin, MD, Nathalie Briot, BS, Jihane Boustani, MD, Etienne Martin, MD, Igor Bessieres, MS, Alexandre Cochet, PhD, Gilles Créhange, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 8, Iss 1, Pp 101040- (2023)
Purpose: The optimal salvage pelvic treatment for nodal recurrences in prostate cancer is not yet clearly defined. We aimed to compare outcomes of salvage involved-field radiation therapy (s-IFRT) and salvage extended-field radiation therapy (s-EFRT)
Externí odkaz:
https://doaj.org/article/8355210a543a4e16b9b82b0bdaabbae1
Autor:
Karim Benali, Kristin Higgins, Magali Quivrin, Igor Bessieres, John A. Wight, Divya Gupta, Raphael Martins, Anand D. Shah, Charles Guenancia, Michael S. Lloyd
Publikováno v:
JACC: Clinical Electrophysiology. 9:707-709
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5304296808ddbb5a98de40f5b871e00c
https://doi.org/10.1016/j.jacep.2022.12.006
https://doi.org/10.1016/j.jacep.2022.12.006
Autor:
Igor Bessieres, Olivier Lorenzo, Aurélie Bertaut, Aurélie Petitfils, Léone Aubignac, Julien Boudet
Publikováno v:
Journal of Applied Clinical Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4a30d8a4287371444736b77f3019267
https://doi.org/10.1002/acm2.14005
https://doi.org/10.1002/acm2.14005
Autor:
Louis Marage, Paul-Michael Walker, Julien Boudet, Pierre Fau, Pierre Debuire, Emmanuelle Clausse, Aurélie Petitfils, Léone Aubignac, Stanislas Rapacchi, Igor Bessieres
Publikováno v:
Physics in Medicine and Biology
Physics in Medicine and Biology, 2022, 68 (1), pp.01NT03. ⟨10.1088/1361-6560/aca876⟩
Physics in Medicine and Biology, 2022, 68 (1), pp.01NT03. ⟨10.1088/1361-6560/aca876⟩
Objective. The aim of this work was to highlight and characterize a systemic ‘star-like’ artefact inherent to the low field 0.35 T MRIdian MR-linac system, a magnetic resonance guided radiotherapy device. This artefact is induced by the original
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5193cfb57208e5084502ca76224ee26
https://amu.hal.science/hal-03960496/document
https://amu.hal.science/hal-03960496/document
Publikováno v:
Journal of Applied Clinical Medical Physics. 23
Intensity modulation treatments are widely used in radiotherapy because of many known advantages. In this context, the picket fence test (PF) is a relevant test to check the Multileaf Collimator (MLC) performances. So this work compares and evaluates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f801ca7d9b9b4b989ec55b3a2ca409a0
https://doi.org/10.1002/acm2.13618
https://doi.org/10.1002/acm2.13618