Browsing NIHR Advanced Imaging by Author "Moon, NO"
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282Reference values for aortic distensibility derived from UK Biobank cardiovascular magnetic resonance (CMR) imaging cohort
Fung, K; Biasiolli, L; Aung, N; Hann, E; Paiva, JM; Lukaschuk, E; Sanghvi, MM; Carapella, V; Rayner, JJ; Werys, K (2019-06-01) -
Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data.
Biasiolli, L; Hann, E; Lukaschuk, E; Carapella, V; Paiva, JM; Aung, N; Rayner, JJ; Werys, K; Fung, K; Puchta, H (Public Library of Science, 2019-02-14)INTRODUCTION: Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these methods require visual quality control ... -
Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging
Hann, E; Biasiolli, L; Zhang, Q; Popescu, IA; Werys, K; Lukaschuk, E; Carapella, V; Paiva, JM; Aung, N; Rayner, JJ (Springer, Cham, 2019-10-10)© 2019, Springer Nature Switzerland AG. Recent progress in fully-automated image segmentation has enabled efficient extraction of clinical parameters in large-scale clinical imaging studies, reducing laborious manual ... -
Reference values for aortic distensibility derived from UK Biobank cardiovascular magnetic resonance (CMR) imaging cohort
Fung, K; Biasiolli, L; Aung, N; Hann, E; Paiva, JM; Lukaschuk, E; Sanghvi, MM; Carapella, V; Rayner, JJ; Werys, K (2019-06)