I am a Senior Lecturer in the Computer Vision Group and Director of Taught Postgraduate Studies in the School of Computing at the University of Leeds.
My research interests are in the areas of: You can find more details about the Computer Vision Group, the School of Computing and the University by following the links below.
Current Research Projects
Development of Virtual Environments for Medical Training
Two grants have recently been awarded to develop Virtual Environments for Training in Interventional Radiology. The grants are in collaboration with the CRaiVE consortium.Physics-based virtual environment for training in vascular interventional radiological procedures
Yi Song, Ken Brodlie, Andy Bulpitt and David KesselThe aim of this project is to develop and validate a computer generated virtual environment (VE) with variable virtual anatomy, in which the appearance, 'feel' and human factors of invasive radiological procedures (interventional radiology, IR) in patients can be reproduced and assessed. The final product will encompass needle puncture as well as guidewire and catheter insertion and manipulation, and will be based on a task analysis of interventional procedures. We are developing methods of semi-automatically processing medical imaging data to create a variable range of 3D geometry of anatomy.
Further details can be found http://www.comp.leeds.ac.uk/vision/medical_VEs.html
This project started in November 2006 and is being funded by the EPSRC.
Collaborators: University of Liverpool, University of Hull, University of Wales Bangor, University of Leeds, Imperial College London, Manchester Business School.
Development and Validation of a Virtual Reality Simulator for Training in Interventional Radiological Visceral Needle Puncture Procedures
Richard Holbrey, Ken Brodlie, Andy Bulpitt and David KesselThis proposal aims to develop and validate a virtual reality (VR) simulator for training visceral interventional radiology (IR) needle puncture procedures which use medical imaging and touch to guide needles.
Further details can be found http://www.comp.leeds.ac.uk/vision/medical_VEs.html
This project started in November 2006 and is being funded by the Department of Health under the Health Technology Devices (HTD) Programme.
Collaborators: Medic Vision, University of Liverpool, University of Hull, University of Wales Bangor, University of Leeds, Imperial College London, Manchester Business School.
BioInformatics
Protein function prediction and classification using uncertainty
Chris Needham,James Bradford, Andy Bulpitt and David WestheadThe overall aim of this project is to investigate the use of Bayesian networks to integrate information, express relationships and make inferences or predictions on biological problems, motivated by data generation in genomics and proteomics.
Further details can be found http://www.comp.leeds.ac.uk/vision/bioinf.html
Previous Research Projects
Basic active and ligand binding surface matching through image comparison
Steven Pickering, Andy Bulpitt & David WestheadThis project investigated the use of surface properties of proteins to predict function. The algorithm uses local measures of surface geometry and electro- chemical characteristics at the active sites of proteins to identify similar structures in PDB databases and hence proteins with potentially similar function.
Further details can be found at http://www.comp.leeds.ac.uk/vision/bioinf.html
Automated Generation of 3D Anatomical Models: Training and Decision Making in Keyhole Vascular Intervention
Andrew Bulpitt, Elizabeth Berry, Roger Boyle, Julian Scott, David Kessel
This research developed a segmentation and measurement tool to support pre-procedure assessment and training for the endovascular repair of abdominal aortic aneurysms (AAA).
Further details can be found here
Teaching
Undergraduate Modules
Machine Learning and Graphics (CR22).Postgraduate Modules
Techniques for Knowledge Management (TKM). From 2007/8)Administrative Duties
I am current Director of Taught Postgraduate Studies and Admission tutor for the MSc courses run by the School.The School of Computing currently offers two MSc courses:
Cognitive Systems
Computing and Management.
We are also involved in the MRes BioInformatics run by the Faculty of Biological Sciences.
Fully details of how to apply and funding available can be found on the MSc pages.
Publications
A list of recent publications can be found hereA full list is also available here
Contact Details
email: a.j.bulpitt@leeds.ac.uktel: +44 (0)113 343 6816
fax: +44 (0)113 343 5468
room: 7.19 E C Stoner Building
address: School of Computing, The University of Leeds, Leeds, LS2 9JT