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Computational and Mathematical Methods in Medicine
Volume 7, Issue 2-3, Pages 177-188

Multimodal Imaging Techniques for the Extraction of Detailed Geometrical and Physiological Information for Use in Multi-Scale Models of Colorectal Cancer and Treatment of Individual Patients

1Oxford University Computing Laboratory, Wolfson Building, Parks Road, Oxford OX1 3QD, UK
2Department of Engineering Science, Parks Road, Oxford OX1 3PJ, UK
3School of Mathematical Sciences, Centre for Mathematical Medicine, University of Nottingham, Nottingham NG7 2RD, UK
4NCRI Informatics Coordination Unit, 61 Lincoln's Inn Fields, London WC2A 3PX, UK
5Department of Pathology, Leeds General Infirmary, Leeds LS1 3EX, UK
6Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK

Received 1 June 2006; Accepted 14 June 2006

Copyright © 2006 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A vast array of mathematical models have been proposed for all stages of cancer formation across a wide range of spatio–temporal scales. Attention is now turning to coupling these models across scales and building models of “virtual tumours” for use in in silico testing of novel drugs and treatment regimes. This leads naturally to the requirement for detailed knowledge of the underlying geometry and physiological properties of individual tumours for use in: (i) multi-scale mathematical models of in vivo tumour growth and development; (ii) fusion of multi-scale, multimodal medical imaging techniques to improve the diagnosis and treatment of individual patients; and (iii) training of cancer specialists and surgeons.