Research course

Development of a surgical planning tool to predict three-dimensional facial appearance of patients with facial deformities following surgery.

Institution
University of Leeds · School of Computing
Qualifications
PhD

Entry requirements

Applicants must have a minimum of a UK upper second class honours degree (2.1), or equivalent, in computer science or artificial intelligence. If English is not your first language, you must provide evidence that you meet the University’s minimum English Language requirements.

Months of entry

October

Course content

The overall aim of the project is to develop a surgical planning tool to predict the three-dimensional soft tissue facial appearance of patients based on the analysis of skeletal changes from two-dimensional radiographs.

The project will develop image analysis techniques to automatically identify skeletal features from 2D radiographs taken during surgery and develop a model using machine learning techniques that can predict how the changes in the locations of the skeletal features will change the 3D appearance of a patient using 3D facial features obtained from 3D stereophotogrammetry.

Keywords: Medical Image Analysis, Computer Vision, Machine Learning

Fees and funding

This scholarship is part of Leeds Anniversary Research Scholarship scheme.

This scholarship is fully funded covering fees and a maintenance of £14,254 in 2016/17

Qualification and course duration

PhD

full time
48 months

Course contact details

Name
Dr Andy Bulpitt
Email
a.j.bulpitt@leeeds.ac.uk