OPTIMAX summer school

​Medical imaging is a powerful diagnostic tool. As a consequence, the number of medical images has increased vastly over the past three decades. The most common medical imaging techniques use X-radiation as the primary investigative tool.

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​Introduction

The limitation of using X-radiation is the increased risk of developing cancers. Alongside this, technology has advanced and more centers now use CT scanners; these can incur significant radiation burdens compared with traditional x-ray imaging systems. The net effect is that the population radiation burden is rising steadily. Risk arising from X-radiation for diagnostic medical purposes needs minimizing and one way to achieve this is through optimizing radiation dose and image quality.

Programme

This summer school allows students to experience new ways of optimizing dose and image quality. The summer school will have radiation dose limitation and image quality as core themes and it will draw on expertise in medicine, radiography, radiobiology, psychology and medical physics. The summer school consists the following learning activities: approximately 3 days of teaching, 11 days of interdisciplinary project work, 1 day of feedback sessions. A key feature of the summer school will be the integration and co-application of psychology and physics principles into dose and image quality optimization.

The target groups from participating institutions (from the UK, Slovenia, Switserland, Portugal and Ireland) and the host will be under- and post-graduate students of diagnostic radiography, nuclear medicine technology, physics and psychology.

After this Summer school you will have: 

  • your first research experience in an international context,
  • your first publication,
  • and a start of your international network.

Themes

  • Propose ways in which experiments can be conducted to generate images
  • Analyse images using suitable perceptual and/or physics techniques
  • Draw inferences from the data with respect to identifying fit for purpose images that have low associated doses


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