Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Simon, Arridge"'
Autor:
Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon Arridge, Jennifer Steeden, Vivek Muthurangu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract To develop and assess a deep learning (DL) pipeline to learn dynamic MR image reconstruction from publicly available natural videos (Inter4K). Learning was performed for a range of DL architectures (VarNet, 3D UNet, FastDVDNet) and correspon
Externí odkaz:
https://doaj.org/article/5a7a8d4bd2594e2790bb7d058cc85d40
Publikováno v:
Applied Mathematics in Science and Engineering, Vol 31, Iss 1 (2023)
The sensitivity of phase-sensitive detectors, such as piezoelectric detectors, becomes increasingly directional as the detector element size increases. In contrast, pyroelectric sensors, which are phase-insensitive, retain their omni-directionality e
Externí odkaz:
https://doaj.org/article/9c56abbd723d4422b9c02dc095f983ba
Autor:
Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon Arridge, Francoise Peyrin
Publikováno v:
IEEE Access, Vol 9, Pp 25632-25647 (2021)
The state-of-the art for solving the nonlinear material decomposition problem in spectral computed tomography is based on variational methods, but these are computationally slow and critically depend on the particular choice of the regularization fun
Externí odkaz:
https://doaj.org/article/c8a83afdb71c4adb86fc71df4f991faa
Autor:
Jennifer A. Steeden, Michael Quail, Alexander Gotschy, Kristian H. Mortensen, Andreas Hauptmann, Simon Arridge, Rodney Jones, Vivek Muthurangu
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 22, Iss 1, Pp 1-13 (2020)
Abstract Background Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed-up
Externí odkaz:
https://doaj.org/article/ab9207ce27aa40aa9e7ce22ac019ca12
Autor:
Hasan Sari, Kjell Erlandsson, Lisbeth Marner, Ian Law, Henrik B.W. Larsson, Kris Thielemans, Sébastien Ourselin, Simon Arridge, David Atkinson, Brian F. Hutton
Publikováno v:
EJNMMI Research, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract Background Kinetic analysis of dynamic PET data requires an accurate knowledge of available PET tracer concentration within blood plasma over time, known as the arterial input function (AIF). The gold standard method used to measure the AIF
Externí odkaz:
https://doaj.org/article/208f132916084424a95f50351b63ad84
Autor:
Robert Twyman, Simon Arridge, Zeljko Kereta, Bangti Jin, Ludovica Brusaferri, Sangtae Ahn, Charles W. Stearns, Brian F. Hutton, Irene A. Burger, Fotis Kotasidis, Kris Thielemans
Publikováno v:
IEEE Transactions on Medical Imaging. 42:29-41
Penalised PET image reconstruction algorithms are often accelerated during early iterations with the use of subsets. However, these methods may exhibit limit cycle behaviour at later iterations due to variations between subsets. Desirable converged i
Autor:
Efthymios Maneas, Andreas Hauptmann, Erwin J. Alles, Wenfeng Xia, Sacha Noimark, Anna L. David, Simon Arridge, Adrien E. Desjardins
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 18:395-399
Purpose: Instrumented ultrasonic tracking provides needle localisation during ultrasound-guided minimally invasive percutaneous procedures. Here, a post-processing framework based on a convolutional neural network (CNN) is proposed to improve the spa
Autor:
Giulia Maffeis, Antonio Pifferi, Alberto D. Dalla Mora, Laura Di Sieno, Rinaldo Cubeddu, Alberto Tosi, Enrico Conca, Andrea Giudice, Alessandro Ruggeri, Simone Tisa, Alexander Flocke, Bogdan Rosinski, Jean-Marc Dinten, Mathieu Perriollat, Christophe Fraschini, Jonathan Lavaud, Simon Arridge, Giuseppe Di Sciacca, Andrea Farina, Pietro Panizza, Elena Venturini, Peter Gordebeke, Paola Taroni
Publikováno v:
Optical Tomography and Spectroscopy of Tissue XV.
Autor:
Nargiza Djurabekova, Ian Buchanan, Adam Doherty, Marco Endrizzi, Joel Enwald, Peter Munro, Alessandro Olivo, Savvas Savvidis, Simon Arridge
Edge illumination is an X-ray phase contrast imaging technique that allows for the recovery of differential phase and dark-field (also known as scattering) contrast, in addition to conventional attenuation based contrast. These signals are retrieved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::350329515f38d1203c978aad67c9ec20
https://doi.org/10.21203/rs.3.rs-2190429/v1
https://doi.org/10.21203/rs.3.rs-2190429/v1
Autor:
Edoardo Ferocino, Antonio Pifferi, Simon Arridge, Fabrizio Martelli, Paola Taroni, Andrea Farina
Publikováno v:
Applied Sciences, Vol 9, Iss 14, p 2849 (2019)
Time Domain Diffuse Optical Tomography (TD-DOT) enables a full 3D reconstruction of the optical properties of tissue, and could be used for non-invasive and cost-effective in-depth body exploration (e.g., thyroid and breast imaging). Performance quan
Externí odkaz:
https://doaj.org/article/f15ffed91bde42188d649f1d7c5f54bf