Dr med. Christoph Juli FRCR, Consultant Cardiac Radiologist
Medizinisches Diagnose-Zentrum Uster
Dr Juli is an internationally established Consultant Cardiac Radiologist who led the Cardiac Imaging Service of the Radiology Department at Imperial College London for several years. Dr Juli consults in Switzerland at Spital Uster where he is leading the Cardiac MRI & CT Imaging Service. He is currently resposible for the world wide first clinical implementation of the 1.5 T Ingenia Ambition X MRI System. Dr Juli is also consulting for Preventicum London, where he is responsible for reviewing and reporting the Cardiac MRI imaging.
After graduating from the University of Frankfurt, Dr Juli undertook his Cardiology and Radiology training in Switzerland and the UK. He is a member of the Royal College of Radiology, the Swiss Society of Radiology, the Society for Cardiovascular Magnetic Resonance and the Society for Cardiovascular Computed Tomography. He is CBCCT certified and regularly attends national and international conferences in the field of Cardiothoracic Imaging.
Dr Juli has a keen interest in teaching and training advanced cardiac MRI and CT techniques and also lectures. He is currently involved in a number of research projects and has published articles in several peer reviewed journals.
Compressed SENSE Cardiac magnetic resonance (CMR) Imaging with the 1.5T Ambition X BlueSeal Magnet
Compressed SENSE is a break-through imaging acceleration technique speeding up not only sequences but the entire exam. This talk is dedicated to illustrate (with case examples) its usefulness in clinical CMR and how we have implemented it on our 1.5T Ambition X. Demonstration of how the excellent homogeneity of the BlueSeal magnets 55cm field-of-view can be used to answer the most challenging CMR imaging demands.
EVEN MORE SEMINARS
Professor David J. Lurie University of Aberdeen
Fast Field-Cycling MRI: A New Diagnostic Imaging Modality
Syeda Khan City, Sandwell and Walsall Breast Screening Service
Professor Xujiong Ye University of Lincoln
Medical Image Analysis using Artificial Intelligence
Robert Lauritzen Cerebriu
Why real-time machine learning on medical images during acquisition can make a difference
Prof Keith Muir University of Glasgow
Imaging techniques to aid treatment decisions in acute ischaemic stroke.