On Thursday 21 November at 15:15, Gregory Wood defends his PhD dissertation entitled "Coronary Magnetic Resonance Angiography for the detection of Coronary Artery Disease".

Coronary Magnetic Resonance Angiography (CMRA) is a non-invasive modality that can investigate Coronary Artery Disease (CAD) without the use of ionising radiation or iodinated contrast agents. However, prior clinical use has been inhibited by the long acquisition times, substantial technical expertise requirements and comparatively poor spatial resolution compared to other methods. Development of deep learning (DL) based automated software for planning and acquisition may overcome some of these challenges.

Recent studies at Aarhus University and the Department of Cardiology, Aarhus University Hospital have investigated the efficacy of these technological developments, as well as whether CMRA is approaching suffient quality for routine use in clinical practice. The aims were threefold: (1) to assess whether DL software can be integrated into a clinical CMRA workflow; (2) to establish if this software can be utilised to enable acquisition of CMRA at a higher spatial resolution; and (3) to determine whether the improvement in spatial resolution improves the diagnostic performance of CMRA.

The summary is written by the PhD student. 

The defence is public and takes place in Auditorium A G206-142, Aarhus University Hospital. Please see the press release for more information. 

Contact

PhD student Gregory Wood
Mail: gregory.wood@clin.au.dk 
Phone: +4542675019

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