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Optimisation in X-ray and Molecular Imaging 2020

20-22 April 2020 in Gothenburg, Sweden

Dear participant at OXMI 2020,


Due to the ongoing COVID-19 pandemic, it will not be possible to arrange OXMI 2020 as originally planned. Many of you have already informed us that you would not be able to attend, and asked us to postpone the meeting or find an alternative solution.


The organizing committee has come to the conclusion that we cannot have the meeting 20-22 April even if it were to be a virtual one - almost everybody involved in the conference (we as organizers and most presenters and attendees) are healthcare employees and presently our efforts are needed elsewhere. Nevertheless, even in these challenging times there is a value in sharing the results from ongoing research within the scientific community. However, as the timeline for the pandemic is uncertain, the organizing committee has decided both to change the conditions for the meeting and to reschedule. OXMI 2020 will now be held as an online meeting and take place 22-24 June 2020.


We hope that you all will be able to attend the online meeting and that authors will be able to take the time to present their research. However, we are aiming for a solution where all presentations will be made available for registered participants regardless of possibility to attend during the actual days of the meeting and where authors may submit their recorded presentations beforehand. More information regarding preparation of both oral and poster presentations will be provided to the authors once the details of the meeting have been finalised.


Oxford University Press have been very accommodating regarding the changed conditions and authors will still be able to submit manuscripts for possible publication in a special issue of Radiation Protection Dosimetry. The submission deadline has been extended to 31 October 2020.

Finally, to reflect the changed conditions the conference fee will be reduced to 50% of the ordinary price (3750 SEK incl. VAT for all attendees, including students). The conference fee is necessary to cover some costs associated with the conference, including the production cost of the conference proceedings. Your current registration will automatically be transferred to June. Previous payments will be partly refunded in concordance with the new conference fee. Alternatively, it will be possible to register an additional participant from your organisation to the meeting – if so, please contact the conference secretariat for details ( Presenting authors that have not yet registered for the conference may do so at the webpage (

You will be updated with details about the meeting by email. Also, keep an eye on the conference webpage (

We look forward to welcoming you to the online meeting OXMI 2020, 22-24 June.

Jonny Hansson, chair of the organizing committee of OXMI 2020
Magnus Båth, chair of the scientific committee of OXMI 2020


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 physicists, 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).

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:

  • Machine-learning-based segementation and detection in medical imaging.
  • Radiation dose and image quality in computed tomography.
  • Mammography and tomosynthesis.
  • Estimation of patient radiation doses in radiology.
  • Optimisation of molecular imaging, absorbed dose estimates and radiation risk models.
  • Software and online tools enabling studies of image quality and radiation dose.
  • Addressing the potential for improved education, diagnostics and therapy.
  • Quality control, quality assurance and charcterisation of medical imaging systems.
  • Al and machine learning for optimisation of medical imaging.
  • Strategies for optimisation of medical imaging.


The conference will include a commercial exhibition.