'A Novel Diagnostic Tool: from Structural Health Monitoring to Tissue Quality Prediction' is an EPSRC funded project (2013-2017), which aims to stimulate new microstructure-based mathematical and numerical modelling approaches, e.g. imaging processing, multiscale modelling and constitutive modelling, for applications in tissue diagnosis and quality prediction. 

Project partners: Prof. Ke Chen (University of Liverpool - PI), Dr. Pankaj Pankaj (University of Edinburgh), Dr. Junjie Wu (Durham University) and Dr. Yuhang Chen (Heriot-Watt University) 

Our specific objectives are to:

• establish a reliable multi-modality image registration model. To develop a robust local segmentation model with the help of registration for automatic localisation, capable of dealing with structures for segmentation at different levels.To establish a reliable multi-modality image registration model. To develop a robust local segmentation model with the help of registration for automatic localisation, capable of dealing with structures for segmentation at different levels;
• establish the indices of tissue microarchitecture that can provide a link to macroscopic tissue quality. Include information of patient parameters (e.g. gender, age, and lifestyle) and drug treatments;
• quantitatively predict the macroscopic properties of hierarchical tissue from high-precision image models, by nonlinear microstructural analysis and homogenisation approaches;
• establish initial parametric inputs to our proposed models and to validate them experimentally, by comprehensive structural and biomechanical characterisation of a range of ex vivo tissues.

Project team