OXMI 2020 avholdes som et online-møte den 22-24 Juni 2020.
Hva: Konferanse innen Optimalisering av røntgen- og molekylær avbildning
Når: 22-24 Juni 2020
Hvor: Virtuelt møte
Les oppdatert informasjon på: www.oxmi2020.org
Optimisation in X-ray and Molecular Imaging 2020 will cover a wide area of research related to optimisation of medical imaging and is intended for a broad audience of medical physicsts, radiologists, nuclear medicine physicians, engineers, radiographers and biomedical scientists, as well as representatives for authorities and manufacturers. The conference is the 5th in a series of scientific conferences focusing on optimisation of medical imaging, with special emphasis on image quality evaluation and radiological protection. Previous conferences have been held in Malmö, Sweden (1999, 2004, 2009) and Gothenburg (2015).
Deadline for abstracts is 2 December 2019. Notification of acceptance will be given before 31 January 2020.
Invited speakers include:
Göran Bergström, University of Gothenburg & Sahlgrenska University Hospital, Sweden
How can machine learning advance large population trials? – The Swedish CArdioPulmonary biolmage Study (SCAPIS)
Glenn Flux, Royal Marsden Hospital & Institute of Cancer Research, UK
Personalised treatment planning for molecular radiotherapy
Part 1: The Good – Benefits and opportunities
Part 2: The Bad – Risks and threats
Mika Kortesniemi, HUS Medical Imaging Center, University of Helsinki, Finland
From image quality to care outcome – Evolved optimisation process supported by Al/Deep Learning
Sophia Zackrisson, Lund University & Skåne University Hospital, Sweden.
Breast tomosynthesis in screening – From optimization to a large screening trial. 14 years of experience from Malmö, Sweden
Contributions in the following areas are welcome:
- Optimisation in radiology and nuclear medicine
- Assessment of clinical images and observer performance studies
- Recent technological developments and their clinical impact
- Patient dosimetry and reference doses/activities
- Occupational exposure
- Physical measurements and quality assurance programs
- Modelling procedures
- Al and Deep learning in medical imaging
- Image display, monitors and their environment
- Education and training