Engineering Doctorate Studentship: Radiotherapy, UCL 625 views

Radiotherapy studenship: Engineering Doctorate (EngD) Studentship is available in project titled “Respiratory Correlation Models in Image-Guided Radiotherapy” at UCL-Computer Science. This is 3 year studentship and is based in the Centre for Medical Image Computing, CMIC & the Centre for Virtual Environments, Interaction and Visualisation, VEIV and sponsored is by Elekta.

Respiratory motion causes errors and qualms when scheduling and delivering radiotherapy treatment to tumours in the thorax and abdomen, e.g. lung tumours and liver tumours. Existing clinical practice is to either add margins to the target to account for the motion, thus irradiating more healthy tissue than for a static tumour, or to implant markers in the tumour so that its position can be dogged during treatment, allowing gated delivery (when the radiotherapy bean is only switched on when the tumour is in the correct location) or followed delivery (where the beam is made to follow the tumour’s motion).

This project will build on previous work from CMIC on respiratory correlation models, which relate the internal motion of interest to an easily measured respiratory surrogate signal, such as the motion of the skin surface.

The goal of this project:

  • to further develop these models so that they can be built from CBCT projection images
  • to utilize these models for guiding radiotherapy delivery

Supervisors for the project: Dr Jamie McClelland & Prof David Hawkes at UCL

Co-supervisors: from ICR and Elekta (advisers)

Qualifications and Requirements:

  • Candidates must have already been holding a Master’s in Computer Science or a related discipline.
  • Due funding issues this position is only open to UK/EU candidates.
—————Quick Overview————-
Organization University College London
Fellowship Level Doctorate
Country UK
Subject areas Computer Science
Fellowship amount Not mentioned
Eligibility UK/EU students only
Deadline 13 June 2016
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Enquiries: Dr. Jamie McClelland ( j.mcclelland@ucl.ac.uk)

For Further Details: Click

 

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