Browsing NIHR Advanced Imaging by Author "Sanghvi, MM"
Now showing items 1-20 of 38
-
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) -
347Early changes in cardiac morphology and function in individuals with diabetes and preserved ejection fraction detected by cardiovascular magnetic resonance tagging - The UK Biobank
Jensen, MT; Fung, K; Aung, N; Sanghvi, MM; Chadalavada, S; Paiva, JM; Khanji, MY; De Knegt, MC; Lukaschuk, E; Lee, AM (2019-06-01) -
Age attenuates the relationship between systolic blood pressure and left ventricular mass: evidence from the UK Biobank
Aung, N; Sanghvi, MM; Zemrak, F; Cooper, JA; Paiva, JM; Thomson, RJ; Fung, K; Lukaschuk, E; Lee, A; Carapella, V (2017-08-01)Abstract 2896 from ESC Congress 2017, 26-30 August, Barcelona, Spain -
Age attenuates the relationship between systolic blood pressure and left ventricular mass: evidence from the UK Biobank
Aung, N; Sanghvi, MM; Zemrak, F; Cooper, JA; Paiva, JM; Thomson, RJ; Fung, K; Lukaschuk, F; Lee, A; Carapella, V (2017-08) -
Association Between Ambient Air Pollution and Cardiac Morpho-Functional Phenotypes: Insights From the UK Biobank Population Imaging Study.
Aung, N; Sanghvi, MM; Zemrak, F; Lee, AM; Cooper, JA; Paiva, JM; Thomson, RJ; Fung, K; Khanji, MY; Lukaschuk, E (2018-11-13)Background: Exposure to ambient air pollution is strongly associated with increased cardiovascular morbidity and mortality. Little is known about the influence of air pollutants on cardiac structure and function. We aim ... -
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.
Bai, W; Sinclair, M; Tarroni, G; Oktay, O; Rajchl, M; Vaillant, G; Lee, AM; Aung, N; Lukaschuk, E; Sanghvi, MM (2018-09-14)BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber ... -
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 ... -
Automatic classification of CMR image sequences with convolutional neural networks
Aung, N; Lee, AM; Sanghvi, MM; Fung, K; Paiva, JM; Thomson, RJ; Khanji, MY; Munro, PB; Petersen, SE (2019-06) -
Cardiac structure and the QRISK cardiovascular risk prediction score: insights from the UK Biobank
Thomson, RJ; Aung, N; Sanghvi, MM; Fung, K; Paiva, JM; Khanji, MY; Lukaschuk, E; Carapella, V; Piechnik, SK; Neubauer, SK (2019-06) -
Cardiovascular magnetic resonance imaging for amyloidosis: The state-of-the-art.
Tang, CX; Petersen, SE; Sanghvi, MM; Lu, GM; Zhang, LJ (2019-02)Amyloidosis results from insoluble precursor proteins being deposited in the extracellular compartment. The prognosis of the disease is predominantly determined by cardiac involvement due to amyloid accumulation that ... -
Changes in Cardiac Morphology and Function in Individuals With Diabetes Mellitus The UK Biobank Cardiovascular Magnetic Resonance Substudy
Jensen, MT; Fung, K; Aung, N; Sanghvi, MM; Chadalavada, S; Paiva, JM; Khanji, MY; de Knegt, MC; Lukaschuk, E; Lee, AM (2019-09) -
Does self-reported pregnancy loss identify women at risk of an adverse cardiovascular phenotype in later life? Insights from UK biobank
Elmahi, E; Sanghvi, MM; Jones, A; Aye, CYL; Lewandowski, AJ; Aung, N; Cooper, JA; Paiva, JM; Lukaschuk, E; Piechnik, SK (2019-10) -
Does self-reported pregnancy loss identify women at risk of an adverse cardiovascular phenotype in later life? Insights from UK Biobank.
Elmahi, E; Sanghvi, MM; Jones, A; Aye, CYL; Lewandowski, AJ; Aung, N; Cooper, JA; Paiva, JM; Lukaschuk, E; Piechnik, SK (2019)INTRODUCTION: Cardiovascular disease (CVD) is more common in women who have had pregnancy complications such as spontaneous pregnancy loss. We used cross-sectional data from the UK Biobank Imaging Enhancement Study to ... -
Early changes in cardiac morphology and function in individuals with diabetes and preserved ejection fraction detected by cardiovascular magnetic resonance tagging - The UK Biobank
Jensen, MT; Fung, K; Aung, N; Sanghvi, MM; Chadalavada, S; Paiva, JM; Khanji, MY; De Knegt, MC; Lukaschuk, E; Lee, AM (2019-06) -
The effect of frailty on cardiovascular structure and function: insights from the UK Biobank
Sanghvi, MM; Aung, N; Cooper, JA; Fung, K; Paiva, JM; Lukaschuk, E; Piechnik, SK; Neubauer, S; Petersen, SE (2019-06) -
Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results
Suinesiaputra, A; Sanghvi, MM; Aung, N; Paiva, JM; Zemrak, F; Fung, K; Lukaschuk, E; Lee, AM; Carapella, V; Kim, YJ (2018-02) -
Impact of cardiovascular risk factors on atlas-based left ventricular shape phenotypes
Aung, N; Gilbert, K; Suinesiaputra, A; Lee, A; Sanghvi, MM; Zemrak, F; Fung, K; Paiva, JM; Lukaschuk, E; Carapella, V (2018-08) -
The impact of cardiovascular risk factors on cardiac structure and function: Insights from the UK Biobank imaging enhancement study
Petersen, SE; Sanghvi, MM; Aung, N; Cooper, JA; Paiva, JM; Zemrak, F; Fung, K; Lukaschuk, E; Lee, AM; Carapella, V (2017-10-03) -
The impact of menopausal hormone therapy (MHT) on cardiac structure and function: Insights from the UK Biobank imaging enhancement study.
Sanghvi, MM; Aung, N; Cooper, JA; Paiva, JM; Lee, AM; Zemrak, F; Fung, K; Thomson, RJ; Lukaschuk, E; Carapella, V (2018)BACKGROUND: The effect of menopausal hormone therapy (MHT)-previously known as hormone replacement therapy-on cardiovascular health remains unclear and controversial. This cross-sectional study examined the impact of MHT ... -
Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images
Chen, C; Bai, W; Davies, RH; Bhuva, AN; Manisty, CH; Augusto, JB; Moon, JC; Aung, N; Lee, AM; Sanghvi, MM (2020-06-30)