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ASAP Project: Novel Approaches to Radiotherapy Planning and Scheduling in the NHS |
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| Funding Body: EPSRC (EP/C549511/1) Objectives: The problem of efficient radiotherapy planning and resource management In oncology departments, In terms of both manpower and the availability of equipment, has been recognised as a key to their smooth running. The various activities, starting from patient referral through to the delivery of the appropriate treatment, form a complex system, for which generating a high quality planning and scheduling solution is a challenging real-world problem that significantly impacts on healthcare staff and patients. This ambitious research proposal concerns both the generation of possible radiotherapy treatments, for patients and the scheduling of resources. This is a joint research proposal between two research groups from the University of Nottingham and Coventry University with expertise from differing but complementary disciplines. Two large hospitals, Nottingham City Hospital and the UHCW NHS Trust in Coventry, which are both providing radiotherapy treatment to a large population throughout their respective regions, are acting as collaborators on the project. They will provide real-world data and expertise in the domain of radiotherapy treatment. The proposed research requires a multidisciplinary effort, aiming at combining different operational research and artificial intelligence disciplines within a complex real-world medical environment. A successful outcome to the proposed research would significantly improve the efficiency and the quality of radiotherapy treatment in the UK. It could lead to a reduction of waiting time and waiting lists for treatments, a reduction of stress levels in patients and improved consistency in terms of dose delivery. Most Important of all, it has a definite potential to increase the survival rate of cancer patients. Project links: Glossary Publications: S. Petrovic, P. Leite-Rocha, Constructive and GRASP approaches to Radiotherapy Treatment Scheduling, accepted for publication in Advances in Electrical and Electronics Engineering - IAENG, Special Edition of the World Congress on Engineering and Computer Science 2008 (WCECS'08). .pdf S. Petrovic, P. Leite-Rocha, Constructive Approaches to Radiotherapy Scheduling, in S. I. Ao, C. Douglas, W. S. Grundfest, L. Schruben and J. Burgstone (Eds.) World Congress on Engineering and Computer Science (WCECS'08), San Francisco, USA, 22-24 October, 2008, pp. 722-727. Awarded Certificate of Merit .pdf N. Mishra, S. Petrovic and S. Sundar, A Novel Case Based Reasoning Approach to Radiotherapy Planning, in Proceedings of the 18th Triennial Conference of the International Federation of Operational Research Societies (IFORS'08), Sandton, South Africa, 13-18 July, 2008, pp. 66. X. Song, S. Petrovic, S. Sundar, A Case-based reasoning approach to dose planning in Radiotherapy, in D. Wilson, D. Khemani (Eds.) Workshop Proceedings, The Seventh International Conference on Case-Based Reasoning (ICCBR'07), Belfast, Northern Ireland, 13-16 August, 2007, pp. 348-357. .pdf S. Petrovic, W. Leung, X. Song, and S. Sundar, Algorithms for radiotherapy treatment booking, in R. Qu (Ed) Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG'06), Nottingham, UK, 14-15 December, 2006, pp. 105-112. .pdf |
Investigators: Sanja Petrovic (PI) Edmund Burke Jonathan M. Garibaldi Research Associates: Rupa Jagannathan Xueyan Song PhD Students: Elkin D. M. Castro Pedro Leite-Rocha Nishikant Mishra External Collaborators: Colin Reeves Dobrila Petrovic Olivier Haas Project Partners: Nottingham University Hospitals Coventry University Walsgrave General Hospital ASAP Research Themes Case-Based Reasoning Fuzzy Sets and Systems Production Scheduling Medical Optimisation Multiobjective/Multicriteria Methods Heuristics and Metaheuristics |
| Last updated: Tuesday June 23, 2009 Comments to sxp@cs.nott.ac.uk |