Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Caroline Roney"'
1
Akademický článek
A three-dimensional left atrial motion estimation from retrospective gated computed tomography: application in heart failure patients with atrial fibrillation
Autor: Charles Sillett, Orod Razeghi, Angela W. C. Lee, Jose Alonso Solis Lemus, Caroline Roney, Carlo Mannina, Felicity de Vere, Kiruthika Ananthan, Daniel B. Ennis, Ulrike Haberland, Hao Xu, Alistair Young, Christopher A. Rinaldi, Ronak Rajani, Steven A. Niederer
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundA reduced left atrial (LA) strain correlates with the presence of atrial fibrillation (AF). Conventional atrial strain analysis uses two-dimensional (2D) imaging, which is, however, limited by atrial foreshortening and an underestimation of
Externí odkaz: https://doaj.org/article/7ec1b56f007d48c2b9b6a9077957a1a7
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2
Akademický článek
Deep neural network architectures for cardiac image segmentation
Autor: Jasmine El-Taraboulsi, Claudia P. Cabrera, Caroline Roney, Nay Aung
Publikováno v: Artificial Intelligence in the Life Sciences, Vol 4, Iss , Pp 100083- (2023)
Imaging plays a fundamental role in the effective diagnosis, staging, management, and monitoring of various cardiac pathologies. Successful radiological analysis relies on accurate image segmentation, a technically arduous process, prone to human-err
Externí odkaz: https://doaj.org/article/3a2beae5f94b4302bbcd19fb244149df
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3
Akademický článek
Anisotropic Cardiac Conduction
Autor: Irum Kotadia, John Whitaker, Caroline Roney, Steven Niederer, Mark O’Neill, Martin Bishop, Matthew Wright
Publikováno v: Arrhythmia & Electrophysiology Review, Vol 9, Iss 4, Pp 202-210 (2020)
Externí odkaz: https://doaj.org/article/0556b716ecf74983a9f407774873c50b
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5
Evaluation of an Open-Source Pipeline to Create Patient-Specific Left Atrial Models: A Reproducibility Study
Autor: José Alonso Solís-Lemus, Tiffany Baptiste, Rosie Barrows, Charles Sillett, Ali Gharaviri, Giulia Raffaele, Orod Razeghi, Marina Strocchi, Iain Sim, Irum Kotadia, Neil Bodagh, Daniel O’Hare, Mark O’Neill, Steven E. Williams, Caroline Roney, Steven Niederer
Publikováno v: Solís-Lemus, J A, Baptiste, T, Barrows, R, Sillett, C, Gharaviri, A, Raffaele, G, Razeghi, O, Strocchi, M, Sim, I, Kotadia, I, Bodagh, N, O’Hare, D, O’Neill, M, Williams, S E, Roney, C & Niederer, S 2023, ' Evaluation of an open-source pipeline to create patient-specific left atrial models: A reproducibility study ', Computers in Biology and Medicine, pp. 107009 . https://doi.org/10.1016/j.compbiomed.2023.107009
We present an open-source software pipeline to create patient-specific left atrial (LA) models with fibre orientations and a fibrosis map, suitable for electrophysiology simulations. The semi-automatic pipeline takes as input a contrast enhanced magn
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f6bc634d12683421c65f9d69715a1dc
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8
Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate
Autor: Sam Coveney, Chris Cantwell, Caroline Roney
Publikováno v: Medicalbiological engineeringcomputing. 60(9)
Characterizing patient-specific atrial conduction properties is important for understanding arrhythmia drivers, for predicting potential arrhythmia pathways, and for personalising treatment approaches. One metric that characterizes the health of the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8257e5e71e56030e49be9b50cf7c9d11
https://pubmed.ncbi.nlm.nih.gov/35867323
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Plný text Recenzováno Digitální knihovna AV ČR
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