Demonstration of Digital Twins for flow-MRI @EngineeringCambridge
Demonstration of Digital Twins for flow-MRI  @EngineeringCambridge
Uploaded May 2023 | Updated September 2026, 1 day ago
Reconstruction of ‘noisy’ flow-MRI data for a steady flow through a #3Dprinted physical model of an aortic arch: eng.cam.ac.uk/news/phd-student-awarded-national-fellowship-fluid-dynamics

Flow-MRI scans depict #BloodFlow velocity but they are ‘noisy’ and have limited resolution in space and time. Digital Twins can enable the high-resolution imaging of flows and provide quantitative estimates of haemodynamic #biomarkers (used to diagnose cardiovascular disease) that are difficult or impossible to measure otherwise.

Credit: Alexandros Kontogiannis.
Demonstration of Digital Twins for flow-MRIManipulation challenge at RoboSoft 2019Professor David Cardwell interview 2014Marlini Simoes: 3D-Printed Metal LatticeVisiting Professor of Innovation - Inspiring research through industrial collaborationIntegrated Design Project: Build a fully autonomous robotSensors made from ‘electronic spider silk’ printed directly on human skinJan Srpcic: The oxygen pillar videoThe boat that Alastair Gregory built2015 IfM Design Show: The Inclusion Chair – SamavesaHow LiDAR (light detection and ranging) worksProfessor Sir Richard Friend Full HD
Department of Engineering, University of Cambridge |

Demonstration of Digital Twins for flow-MRI

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