Doctor Andrea Guala

Doctor Andrea Guala

University Hospital Vall d'Hebron, Barcelona (Spain)

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Andrea Guala completed a Ph.D. at the Politecnico of Turin, designing a multi-scale model of the heart-arterial interaction and a subject-specific setting procedure based on non-invasive measurements. Since May 2016 he works on cardiac imaging at Vall d'Hebron Hospital (Barcelona, Spain), where he mainly works on multi-modality imaging in aortic diseases. His research interests cover the field of hemodynamics and large artery mechanics with a strong focus on the physical processes involved

Presentations Articles

Mapping of thoracic aorta growth rate on serial self-navigated 3D whole-heart magnetic resonance angiographies by image registration

Event: ESC Congress 2022

Topic: Morphology, Dimensions, Volumes and Mass

Session: Additional value of CMR in valvular and vascular heart disease

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Circumferential wall shear stress predicts co-localized progressive dilation in bicuspid aortic valve patients

Event: ESC Congress 2021 - The Digital Experience

Topic: Pathophysiology and Mechanisms

Session: Diseases of the Aorta ePosters

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Machine learning to automatically detect anatomical landmarks on phase-contrast enhanced magnetic resonance angiography

Event: EuroCMR 2021

Topic: Diagnostic Methods

Session: CMR guiding valvular, CHD and vascular assessment

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Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning

Event: EuroCMR 2021

Topic: Diagnostic Methods

Session: CMR guiding valvular, CHD and vascular assessment

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Bicuspid aortic valve fusion length correlates with maximum aortic diameter and heamodynamic abnormalities: a 4D flow CMR study

Event: EuroCMR 2021

Topic: Diagnostic Methods

Session: ePoster session

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Aortic root longitudinal strain by speckle-tracking echocardiography predicts progressive aortic root dilation in Marfan syndrome patients

Event: EACVI - Best of Imaging 2020

Topic: Tissue Doppler, Speckle Tracking and Strain Imaging

Session: Live Abstract Presentations - Valvular Heart Diseases

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Regional curvature in thoracic aortic aneurysms of different aetiologies and its relationship with established risk factors

Event: EACVI - Best of Imaging 2020

Topic: Angiography

Session: ePoster session

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Reinforcement machine learning-based aortic anatomical landmarks detection from phase-contrast enhanced magnetic resonance angiography

Event: EACVI - Best of Imaging 2020

Topic: Flow Imaging

Session: ePoster session

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Leaflets fusion length in bicuspid aortic valve is related to ascending and aortic root dilation and ascending aorta wall shear stress

Event: EACVI - Best of Imaging 2020

Topic: Flow Imaging

Session: ePoster session

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The length of the fusion between leaflets in bicuspid aortic valve is independently related to ascending aorta dilation and flow dynamics alterations assessed by 4D-flow CMR

Event: ESC Congress 2020

Topic: Cardiac Magnetic Resonance (CMR)

Session: Novel Path in Aortic Disease: Mechanisms, Prediction and Protection

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Doctor Andrea Guala

Biography

Contributor content

Mapping of thoracic aorta growth rate on serial self-navigated 3D whole-heart magnetic resonance angiographies by image registration

Circumferential wall shear stress predicts co-localized progressive dilation in bicuspid aortic valve patients

Machine learning to automatically detect anatomical landmarks on phase-contrast enhanced magnetic resonance angiography

Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning

Bicuspid aortic valve fusion length correlates with maximum aortic diameter and heamodynamic abnormalities: a 4D flow CMR study

Aortic root longitudinal strain by speckle-tracking echocardiography predicts progressive aortic root dilation in Marfan syndrome patients

Regional curvature in thoracic aortic aneurysms of different aetiologies and its relationship with established risk factors

Reinforcement machine learning-based aortic anatomical landmarks detection from phase-contrast enhanced magnetic resonance angiography

Leaflets fusion length in bicuspid aortic valve is related to ascending and aortic root dilation and ascending aorta wall shear stress

The length of the fusion between leaflets in bicuspid aortic valve is independently related to ascending aorta dilation and flow dynamics alterations assessed by 4D-flow CMR

ESC 365 is supported by

Doctor Andrea Guala Follow

Biography

Contributor content

Mapping of thoracic aorta growth rate on serial self-navigated 3D whole-heart magnetic resonance angiographies by image registration

Circumferential wall shear stress predicts co-localized progressive dilation in bicuspid aortic valve patients

Machine learning to automatically detect anatomical landmarks on phase-contrast enhanced magnetic resonance angiography

Automatic segmentation of the aorta on multi-center and multi-vendor phase-contrast enhanced magnetic resonance angiographies and the advantages of transfer learning

Bicuspid aortic valve fusion length correlates with maximum aortic diameter and heamodynamic abnormalities: a 4D flow CMR study

Aortic root longitudinal strain by speckle-tracking echocardiography predicts progressive aortic root dilation in Marfan syndrome patients

Regional curvature in thoracic aortic aneurysms of different aetiologies and its relationship with established risk factors

Reinforcement machine learning-based aortic anatomical landmarks detection from phase-contrast enhanced magnetic resonance angiography

Leaflets fusion length in bicuspid aortic valve is related to ascending and aortic root dilation and ascending aorta wall shear stress

The length of the fusion between leaflets in bicuspid aortic valve is independently related to ascending aorta dilation and flow dynamics alterations assessed by 4D-flow CMR

ESC 365 is supported by

Doctor Andrea Guala