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Rina Ariga
University of Oxford
PerfusionCardiologyHypertrophic cardiomyopathyDiabetes mellitusMedicine
54Publications
8H-index
309Citations
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Publications 55
Newest
#1Eric Kerfoot ('KCL': King's College London)H-Index: 6
#2Esther Puyol-Antón ('KCL': King's College London)H-Index: 4
Last. Julia A. Schnabel ('KCL': King's College London)H-Index: 33
view all 7 authors...
Real-time (RT) sequences for cardiac magnetic resonance imaging (CMR) have recently been proposed as alternatives to standard cine CMR sequences for subjects unable to hold the breath or suffering from arrhythmia. RT image acquisitions during free breathing produce comparatively poor quality images, a trade-off necessary to achieve the high temporal resolution needed for RT imaging and hence are less suitable in the clinical assessment of cardiac function. We demonstrate the application of a Cyc...
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We thank Dr. Tanacli and colleagues for their interest in our recent paper on the identification of myocardial disarray in hypertrophic cardiomyopathy (HCM) [(1)][1]. They emphasize the importance of quantifying fibrosis because, in itself, it might contribute to the appearance of disarray. Our
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#1Betty Raman (University of Oxford)H-Index: 5
#2Hugh Watkins (University of Oxford)H-Index: 108
Last. Masliza Mahmod (University of Oxford)H-Index: 13
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#1Ana Mincholé (University of Oxford)H-Index: 10
#2Ernesto Zacur (University of Oxford)H-Index: 10
Last. Blanca Rodriguez (University of Oxford)H-Index: 33
view all 5 authors...
Aims: Patient-to-patient anatomical differences are an important source of variability in the electrocardiogram, and they may compromise the identification of pathological electrophysiological abnormalities. This study aims at quantifying the contribution of variability in ventricular and torso anatomies to differences in QRS complexes of the 12-lead ECG using computer simulations. Methods: A computational pipeline is presented that enables computer simulations using human torso/biventricular an...
1 CitationsSource
#1Nikhil Pal (John Radcliffe Hospital)H-Index: 4
#2Animesh Acharjee (University of Cambridge)H-Index: 7
Last. Julian L. Griffin (University of Cambridge)H-Index: 48
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Background: Aortic stenosis (AS) and hypertrophic cardiomyopathy (HCM) are highly distinct disorders leading to LVH, but whether cardiac metabolism substantially differs between these in humans remains to be elucidated. Method: We undertook a detailed invasive (aortic root and coronary sinus) metabolic profiling in patients with severe AS and HCM in comparison to non-LVH controls, to investigate cardiac fuel selection and metabolic remodelling. These patients were assessed under different physio...
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#1Jorge Corral Acero (University of Oxford)H-Index: 1
#2Ernesto Zacur (University of Oxford)H-Index: 10
Last. Vicente Grau (University of Oxford)H-Index: 25
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Deep learning has revolutionized medical image analysis in recent years. Nevertheless, technical, ethical and financial constraints along with confidentiality issues still limit data availability, and therefore the performance of these approaches. To overcome such limitations, data augmentation has proven crucial. Here we propose SMOD, a novel augmentation methodology based on Statistical Models of Deformations, to segment 2D cine scans in cardiac MRI. In brief, the shape variability of the trai...
1 CitationsSource
#1Rina Ariga (University of Oxford)H-Index: 8
#2Elizabeth M. Tunnicliffe (University of Oxford)H-Index: 9
Last. Hugh Watkins (University of Oxford)H-Index: 108
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Abstract Background Myocardial disarray is a likely focus for fatal arrhythmia in hypertrophic cardiomyopathy (HCM). This microstructural abnormality can be inferred by mapping the preferential diffusion of water along cardiac muscle fibers using diffusion tensor cardiac magnetic resonance (DT-CMR) imaging. Fractional anisotropy (FA) quantifies directionality of diffusion in 3 dimensions. The authors hypothesized that FA would be reduced in HCM due to disarray and fibrosis that may represent the...
5 CitationsSource
#1Kenneth ChanH-Index: 8
#2Masliza MahmodH-Index: 13
Last. Theodoros D. KaramitsosH-Index: 38
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#1Kenneth ChanH-Index: 8
#2Masliza MahmodH-Index: 13
Last. Pablo LamataH-Index: 23
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#1Betty RamanH-Index: 5
#2Kenneth ChanH-Index: 8
Last. Stefan NeubauerH-Index: 81
view all 12 authors...
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