Course Information
Dates: 24/06/2022, 00:00 - 24/06/2025, 00:00
Venue: Royal Marsden Hospital & Institute of Cancer Research
Course Details
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Magnetic Resonance Image Guided Radiotherapy

The aim of this course is to equip workplace supervisors to deliver and facilitate training for their HSST trainees. The aim is to give an overview of the HSST training programme. It covers the role and responsibilities of the workplace supervisor and the HSST Trainee and provides guidance on how to ensure success for trainees. The training day also gives workplace supervisors the opportunity to meet other supervisors and some members of the School team to discuss and share best practice.

This two day course aims to improve understanding of MRIgRT, focusing on the knowledge and skills required to support current and future needs in radiotherapy.

The development of MRI in radiotherapy planning involves close communication with radiology and radiotherapy professionals. This course is aimed at all professionals involved in or interested in MRI for radiotherapy, including radiographers, physicists and clinicians.

Course overview

The course will include taught and practical workshops to:

Improve understanding of the basic principles of MRI
Build foundation skills to support the increase in demand for MRI simulation
Develop practical skills
Learn about current clinical pathways and the latest research developments

The practical demonstrations will include:

MR simulation, image acquisition and interpretation, RT set up and safety.
Sequence and parameter manipulation
Adaptive workflow on the MR Linac

Provisional lecture list

The clinical need for MR in radiotherapy
Image contrast, Resolution and Factors affecting signal-to-noise
MR Simulation
MR planning workflow
MR-CT fusion planning
Image fusion and dosimetry
Safety considerations
Regional MR in RT – Pelvis,
Regional MR in RT, Abdomen (liver and pancreas)
Regional MR in RT, Breast
Managing motion (4D)
MR in Brachytherapy
MR Linac QA
Diffusion Weighted Imaging (DWI) principles and applications
Functional imaging

 

Course Details