Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Charlotte H. Manisty"'
Autor:
Anish N. Bhuva, Thomas A. Treibel, Andreas Seraphim, Paul Scully, Kristopher D. Knott, João B. Augusto, Camilla Torlasco, Katia Menacho, Clement Lau, Kush Patel, James C. Moon, Peter Kellman, Charlotte H. Manisty
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Background: Measurement of myocardial T1 is increasingly incorporated into standard cardiovascular magnetic resonance (CMR) protocols, however accuracy may be reduced in patients with metallic cardiovascular implants. Measurement is feasible in segme
Externí odkaz:
https://doaj.org/article/7d9ced8c26e446b49b11abcbaf578154
Repeatability of Cardiac Magnetic Resonance Radiomics: A Multi-Centre Multi-Vendor Test-Retest Study
Autor:
Zahra Raisi-Estabragh, Polyxeni Gkontra, Akshay Jaggi, Jackie Cooper, João Augusto, Anish N. Bhuva, Rhodri H. Davies, Charlotte H. Manisty, James C. Moon, Patricia B. Munroe, Nicholas C. Harvey, Karim Lekadir, Steffen E. Petersen
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 7 (2020)
Aims: To evaluate the repeatability of cardiac magnetic resonance (CMR) radiomics features on test-retest scanning using a multi-centre multi-vendor dataset with a varied case-mix.Methods and Results: The sample included 54 test-retest studies from t
Externí odkaz:
https://doaj.org/article/0f7991cbec764c6fb1449d30c307982a
Autor:
Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte H. Manisty, Joao B. Augusto, James C Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, Jose Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 7 (2020)
Background: Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation
Externí odkaz:
https://doaj.org/article/879d7f3e090642ec838f467addd81178
Autor:
Justin E. Davies, Nearchos Hadjiloizou, Debora Leibovich, Anura Malaweera, Jordi Alastruey-Arimon, Zachary I. Whinnett, Charlotte H. Manisty, Darrel P. Francis, Jazmin Aguado-Sierra, Rodney A. Foale, Iqbal S. Malik, Kim H. Parker, Jamil Mayet, Alun D. Hughes
Publikováno v:
Artery Research, Vol 1, Iss 2 (2019)
It has been recognised for nearly 200 years that the human pressure waveform changes in shape with ageing and disease. The shape of the pressure waveform has been explained in terms of two fundamental models: the Windkessel (reservoir) and wave theor
Externí odkaz:
https://doaj.org/article/6f4769fcc7704c9e8d951a0102654d8e
Publikováno v:
Circulation
Supplemental Digital Content is available in the text.
Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but requires intravenous
Background: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but requires intravenous
Autor:
Zahra Raisi-Estabragh, Jackie Cooper, Celeste McCracken, Emma J Crosbie, Fiona M Walter, Charlotte H Manisty, John Robson, Mamas A Mamas, Nicholas C Harvey, Stefan Neubauer, Steffen E Petersen
Publikováno v:
Heart. :heartjnl-2022
ObjectivesTo evaluate incident cardiovascular outcomes and imaging phenotypes in UK Biobank participants with previous cancer.MethodsCancer and cardiovascular disease (CVD) diagnoses were ascertained using health record linkage. Participants with can
Autor:
Jessica Artico, Aderonke Abiodun, Hunain Shiwani, Hibba Kurdi, Daniel Chen, Sara Tyebally, James C. Moon, Mark Westwood, Charlotte H. Manisty
Publikováno v:
Journal of cardiovascular pharmacology. 80(4)
Modern cancer therapies have significantly improved survival leading to a growing population of cancer survivors. Similarly, both conventional and newer treatments are associated with a spectrum of cardiovascular disorders with potential long-term se
Autor:
Gabriella, Captur, Charlotte H, Manisty, Betty, Raman, Alberto, Marchi, Timothy C, Wong, Rina, Ariga, Anish, Bhuva, Elizabeth, Ormondroyd, Ilaria, Lobascio, Claudia, Camaioni, Savvas, Loizos, Jenade, Bonsu-Ofori, Aslan, Turer, Vlad G, Zaha, João B, Augutsto, Rhodri H, Davies, Andrew J, Taylor, Arthur, Nasis, Mouaz H, Al-Mallah, Sinitsyn, Valentin, Diego, Perez de Arenaza, Vimal, Patel, Mark, Westwood, Steffen E, Petersen, Chunming, Li, Lijun, Tang, Shiro, Nakamori, Reza, Nezafat, Raymond Y, Kwong, Carolyn Y, Ho, Alan G, Fraser, Hugh, Watkins, Perry M, Elliott, Stefan, Neubauer, Guy, Lloyd, Iacopo, Olivotto, Petros, Nihoyannopoulos, James C, Moon
Publikováno v:
JACC. Cardiovascular imaging. 14(11)
The aim of this study was to define the variability of maximal wall thickness (MWT) measurements across modalities and predict its impact on care in patients with hypertrophic cardiomyopathy (HCM).Left ventricular MWT measured by echocardiography or
Publikováno v:
Journal of the American College of Cardiology. 75(17)
Autor:
Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte H. Manisty, Joao B. Augusto, James C Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, Jose Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Publikováno v:
Frontiers in Cardiovascular Medicine
Frontiers in Cardiovascular Medicine, Vol 7 (2020)
Frontiers in Cardiovascular Medicine, Vol 7 (2020)
Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation tasks with h