Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Djamel Dabli"'
Autor:
Djamel Dabli, Maeliss Loisy, Julien Frandon, Fabien de Oliveira, Azhar Mohamad Meerun, Boris Guiu, Jean-Paul Beregi, Joël Greffier
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract Background To assess the impact of the new version of a deep learning (DL) spectral reconstruction on image quality of virtual monoenergetic images (VMIs) for contrast-enhanced abdominal computed tomography in the rapid kV-switching platform
Externí odkaz:
https://doaj.org/article/f126fabd43e04ba98f8b7d08d92f7983
Autor:
Laure Berny, Joël Greffier, Chris Serrand, Djamel Dabli, Fabien De Oliveira, Hélène de Forges, Jean-Paul Beregi, Julien Frandon
Publikováno v:
Research in Diagnostic and Interventional Imaging, Vol 5, Iss , Pp 100025- (2023)
Background: A nation-wide study recently published the dose reference levels for the main CT-guided interventional procedures in 5001 patients. We assessed the impact of patient's age, sex and targeted organ on the patient dose during thoracic and ab
Externí odkaz:
https://doaj.org/article/a106b13de93a4ce4a3501462036b0afa
Autor:
Loris Lahuna, Joël Greffier, Jean Goupil, Julien Frandon, Maxime Pastor, Fabien De Oliveira, Jean Paul Beregi, Djamel Dabli
Publikováno v:
Diagnostics, Vol 13, Iss 23, p 3491 (2023)
Images from 64 patients undergoing an enhanced abdominal-pelvis scan at portal phase in dual-energy CT mode for the diagnosis of colitis or bowel obstruction were retrospectively analyzed. Acquisitions were performed on a third-generation dual-source
Externí odkaz:
https://doaj.org/article/9b9543a04eaf4e3e8ae15c29540f558f
Autor:
Joël Greffier, Claire Van Ngoc Ty, Isabelle Fitton, Julien Frandon, Jean-Paul Beregi, Djamel Dabli
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3039 (2023)
The purpose of this study was to compare the quality of low-energy virtual monoenergetic images (VMIs) obtained with three Dual-Energy CT (DECT) platforms according to the phantom diameter. Three sections of the Mercury Phantom 4.0 were scanned on tw
Externí odkaz:
https://doaj.org/article/d4a3aa20d8e14600bd948ccc3afce6c4
Autor:
Joël Greffier, Julien Frandon, Hélène de Forges, Aymeric Hamard, Asmaa Belaouni, Jean Baptiste Wahl, Djamel Dabli, Jean Paul Beregi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract To assess the impact of the use of additional mattresses of different thicknesses on radiation dose and image noise based on the patient centering proposed by a 3D camera for CT. An anthropomorphic phantom was placed on mattresses of differe
Externí odkaz:
https://doaj.org/article/6e99bd2ef06c4670a5280ece01e594fd
Autor:
Joël Greffier, Quentin Durand, Chris Serrand, Renaud Sales, Fabien de Oliveira, Jean-Paul Beregi, Djamel Dabli, Julien Frandon
Publikováno v:
Diagnostics, Vol 13, Iss 6, p 1182 (2023)
The study’s aim was to assess the impact of a deep learning image reconstruction algorithm (Precise Image; DLR) on image quality and liver metastasis conspicuity compared with an iterative reconstruction algorithm (IR). This retrospective study inc
Externí odkaz:
https://doaj.org/article/02fda0ada23647e0b993ab00e001fb4c
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 448 (2023)
Background: Despite the development of iterative reconstruction (IR) in diagnostic imaging, CBCT are generally reconstructed with filtered back projection (FBP) in radiotherapy. Varian medical systems, recently released with their latest Halcyon® V2
Externí odkaz:
https://doaj.org/article/b8ed2ee183e84ff393976ff9036c85b6
Autor:
Julien Frandon, Philippe Akessoul, Tarek Kammoun, Djamel Dabli, Hélène de Forges, Jean-Paul Beregi, Joël Greffier
Publikováno v:
Sensors, Vol 22, Iss 11, p 3973 (2022)
Microwave ablation systems allow for performing tumoral destruction in oncology. The objective of this study was to assess the early response and reliability of the microwave ablation zone size at one month for liver, kidney and lung lesions, as comp
Externí odkaz:
https://doaj.org/article/e0e5656f71cd4689a54e8f82570692d3
Publikováno v:
Diagnostic and Interventional Imaging. 104:167-177
Spectral computed tomography (CT) imaging encompasses a unique generation of CT systems based on a simple principle that makes use of the energy-dependent information present in CT images. Over the past two decades this principle has been expanded wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e77e6acf35cc5a47faac62f0e2337e11
https://doi.org/10.1016/j.diii.2022.11.003
https://doi.org/10.1016/j.diii.2022.11.003
Autor:
Joël Greffier, Quentin Durand, Julien Frandon, Salim Si-Mohamed, Maeliss Loisy, Fabien de Oliveira, Jean-Paul Beregi, Djamel Dabli
Publikováno v:
European Radiology. 33:699-710
To assess the impact of a new artificial intelligence deep-learning reconstruction (Precise Image; AI-DLR) algorithm on image quality against a hybrid iterative reconstruction (IR) algorithm in abdominal CT for different clinical indications.Acquisit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5388c953054c8ac1db6d79c1aa144256
https://doi.org/10.1007/s00330-022-09003-y
https://doi.org/10.1007/s00330-022-09003-y