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Enhanced non-invasive pressure drop and flow inefficiencies quantification via 4D-flow MRI

Author:Joao Filipe Fernandes  Alessandro Faraci  Saul Myerson  David Alexander Nordsletten  Pablo Lamata  

Institution:Kings College London  Radcliffe Department of Medicine  

Session Type:Power Pitch  

Session Date:Tuesday, 14 May 2019  

Session Time:13:30  

Session Name:Pitch: Flow & Vessel Imaging  

Program Number:0451  

Presentation Time:13:30   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:

Enhanced non-invasive pressure drop and flow inefficiencies quantification via 4D-flow MRI

Author:Joao Filipe Fernandes  Alessandro Faraci  Saul Myerson  David Alexander Nordsletten  Pablo Lamata  

Institution:Kings College London  Radcliffe Department of Medicine  

Session Type:Power Pitch Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Poster: Flow & Vessel Imaging  

Program Number:0451  

Presentation Time:14:30   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:Plasma 2  

Non-invasive estimations of turbulence driven relative pressure drops – applying the concept of virtual fields on 4D flow MRI