Details of Grant 

EPSRC Reference:	GR/R19793/01
Title:	Computational Modelling and 3D Imaging: Estimation of the Biomechanical Status of Diseased Arteries In-Vivo
Principal Investigator:	Hoskins, Professor PR
Other Investigators:	Marshall, Dr I Marshall, Professor I Webb, Professor DJ Maxwell, Dr SRJ McDicken, Professor WN Easson, Professor WJ Wardlaw, Professor J Bradbury, Professor A Allan, Dr P
Researcher Co-Investigators:
Project Partners:	ATL Ultrasound
Department:	Sch of Medical Sciences
Organisation:	University of Edinburgh
Scheme:	Standard Research (Pre-FEC)
Starts:	01 October 2001	Ends:	30 June 2007	Value (£):	1,361,311
EPSRC Research Topic Classifications:	Med.Instrument.Device& Equip. Medical Imaging
EPSRC Industrial Sector Classifications:	Healthcare
Related Grants:
Panel History:
Summary on Grant Application Form
A new diagnostic tool with predictive capabilities will be created for non-invasive estimation of the biomechanical status of diseased human arteries. This will involve a combination of computational modelling and in-vivo imaging. The unique feature of this approach will that the model will operate in the inverse mode; whereby the 3D distributions of arterial properties (internal stress: elasticity, wall shear rate) will be estimated from measured geometry and motion data. This approach will be especially suited to studies in diseased arteries on individual patients, where it is known that the disease produces complex 3D changes in arterial geometry and physical properties. A new 3D vector Doppler system will be built capable of obtaining full 3D data on arterial geometry, blood and tissue motion. The use of fully 3D acquisition will be compared with selected slice acquisition with fill-in of missing data from computational modelling. Anatomical test devices will be developed and used to estimate accuracy. The final phase will be optimisation of the estimation strategies in several clinical areas; the carotid arteries, femoral arteries abdominal aortic aneurysms and femoral grafts. The tools provided will have the potential to predict disease development, progression and rupture. Future planned clinical studies will be used to realise this predictive capability; involving investigation of the relationship between biomechanical status with disease progression and rupture.
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