Image theory, perception and processing course

Course dates

Monday 23 (PM) - Tuesday 24 February 2026

Venue

The Institute of Cancer Research, Chester Beatty Laboratories, 237 Fulham Road, London, SW3 6JB.

Course overview

The course is organised by the Joint Department of Physics of The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research.

This is a one and a half day course which covers the underpinning mathematics of medical imaging, comprising image formation, image processing techniques, human visual perception and image display techniques including three-dimensional methods. The course has been extended to cover machine learning and AI imaging applications, including practical exercises which demonstrate the AI/ML concepts introduced in the lectures.

The material in this course is generally applicable to all types of imaging systems. Illustrations and examples from medical imaging will be used throughout including ultrasound, nuclear medicine, MRI, and x-ray CT.

The course is aimed at individuals who are undertaking formal training in medical physics. As well as being suitable for new entrants to the medical physics profession, it would also be of benefit to post-graduate students, post-doctoral research workers, representatives of allied commercial organisations and anyone wishing to deepen or re-establish their understanding of the mathematical techniques underpinning medical image formation, display and processing.

This is a CPD course approved by IPEM.

Provisional lecture list

Fundamentals of imaging
Perception and interpretation of medical images
Three-dimensional image display
Image processing techniques
Deep learning fundamentals
Responsible AI
Generative AI
Practical exercises

Registration & Course fees

Registration Form

All current course registration fees are given on our registration form.

The cost includes lunches and light refreshments. Electronic copies of the presentations and a certificate of attendance are provided.

You will be allocated a place on receipt of a completed registration form and a valid quoted payment reference/purchase order or online payment. We are unable to accept provisional bookings.

The number of participants is limited, so early booking is advised. Applications from outside the UK are welcome.

Closing date for registrations – Friday 6 February 2026