Research staff

  • Lim
  • Roberts
  • Vidal
  • ap Cenydd
  • Ritsos

Visualisation and Medical Graphics

This is the largest research theme within the School.  Our main research areas are:

1.    Medical Graphics. The Bangor team are at the forefront of research developments in the use of virtual environments for medical procedures training and skills acquisition. Through collaborations with colleagues at Imperial College and, Manchester, Liverpool and Leeds Universities, we have delivered innovative software combining real time computer graphics, haptics and physiological modelling into clinical areas spanning interventional radiology, radiotherapy treatment planning and neurosurgery. A successful pan-Wales proposal in 2011 established an Advanced Medical Imaging and Visualization Research Unit funded by a £1.2M grant from the Wales National Institute of Social Care and Health Research (NISCHR). The Unit is coordinated at Bangor and employs two PDRAs at each of Aberystwyth, Bangor, Cardiff and Swansea Universities to work directly with NHS hospitals and deliver visual computing solutions to enhance clinical practice.

2.    Visual Analytics is analytical reasoning facilitated by interactive visual interfaces. This subgroup focuses on the investigation of analytic methods and the development of visual analysis tools that display and interact with large datasets. Building on a strong foundation of research into multiple and multiform views, we are developing a lead in this area. For instance, Bangor was a founding member of the UK Visual Analytics Consortium (UKVAC), which partners academics from Middlesex University (lead), Bangor, Imperial, Oxford and University College London. The UKVAC is working with the support of the US Department of Homeland Security via the US National Visualization and Analytics Center at Pacific NorthwestNational Laboratory, Washington State, and in close collaboration with the UK Home Office.

3.    Visual Perception. We have established research into applied visual perception, especially in the context of new display technologies and high dynamic range (HDR) imaging. The sub-group investigates how the knowledge of the human visual system and perception can be incorporated within computer graphics and imaging algorithms. This sincludes designing and optimization of imaging algorithms that adapt to human visual performance and viewing conditions to deliver the best images given limited resources, such as computation time or display contrast. In 2012, Mantiuk was awarded an EPSRC First Grant to quantify image quality in computer graphics (EP/I006575/1). The grant led to the development of a new comprehensive image quality metric for high dynamic range scenes (HDR-VDP-2, source code released on Open Source basis),and the creation of a quality database for computer graphics artefacts (collaboration with the Max-Planck-Institute for Computer Science, Saarbruecken, Germany). The research outcomes include several high impact publications, includingtwo ACM SIGGRAPH (ACM Transactions on Graphics) and two Eurographics(Computer Graphics Forum) papers, as well as several conference papers.

We are a founding member of the Research Institute of Visual Computing (RIVIC), a collaborative amalgamation of visual computing research programmes between the computer science departments in Aberystwyth, Bangor, Cardiff and Swansea Universities.

The Advanced Medical Imaging and Visualization Unit was established in 2011 and are one of three Biomedical Research Units funded by the Welsh Government's National Institute for Social Care and Health Research (NISCHR).  The unit is co-ordinated by Professor Nigel John at the School of Computer Science at Bangor University, to deliver innovative visual computing solutions to provide added value to many different areas of Healthcare for the NHS in Wales.

It is a partnership between the Research Institute of Visual Computing (RIVIC), the NHS in Wales and Aberystwyth, Bangor, Cardiff and Swansea Universities.  

The Unit employs a team of eight research officers to work on projects where imaging and visualization technologies can provide added value to medical applications.  For further details please visit