Prof Sandro Olivo
Alessandro (“Sandro”) Olivo is Professor of Applied Physics with the Department of Medical Physics and Biomedical Engineering at UCL, and the spokesperson of the Advanced X-Ray Imaging (AXIm) Group. He graduated summa cum laude from the University of Trieste in 1995, did a PhD at the same university after a short stint as a hospital physicist, and moved to UCL in 2005 thanks to a EU-funded Marie Curie Fellowship. Overall he has worked in x-ray imaging for over 20 years, and is considered a pioneer in the field of X-ray phase contrast imaging, having co-designed the in vivo mammography system operational at the Trieste synchrotron and invented the “edge-illumination” and “coded-aperture” methods. He has been awarded >£12M in research funding, published >200 papers, and given >100 conference talks/seminars, 68 of which were invited. Articles on his work appeared, among others, in Nature, Scientific American, Physics Today, Physics World.
Phase contrast imaging: giving x-rays soft tissue sensitivity
X-rays are often assumed to “lack soft tissue sensitivity” but new approaches based on phase (instead of attenuation) contrast can change all this. Although originally considered restricted to specialised facilities such as synchrotrons, new phase-based approaches are being developed that allow implementation with conventional sources, opening the way to clinical translation. This seminar will cover the physical principles, present the state of the art and discuss future perspectives.
EVEN MORE SEMINARS
David Omiyi Everything Radiography
Artificial Intelligence - the future of medical imaging
Matthew Gardner RRPPS, University Hospitals Birmingham NHS Foundation Trust
Patient dosimetry audit for nuclear medicine and radiotherapy planning CT
Dr Richard Sidebottom Thirlestaine Breast Centre, Cheltenham NHS and Royal Marsden Hospital
AI basics and application in mammography
Ernesto A. Cerdena, PhD AtlantiCare Regional Medical Center (a member of Geisinger), Atlantic City, New Jersey, USA
Challenges and Success in Adopting Clinical Decision Support Mechanism In Diagnostic Imaging
Andy Rogers – Lead Interventional MPE Nottingham University Hospitals NHS Trust
Integrating interventional procedure data to improve clinician feedback – new technology gains maturity