Haemodynamic investigation of flow diverter stents for the treatment of intracranial aneurysms. This project will explore the engineering of a flow diverter, an endovascular device for the treatment of brain aneurysms. The project will determine the optimal design of new types of flow diverters, which in turn could improve the effectiveness of treatments, thus reducing the associated costs of cerebral haemorrhage and stroke.
X-ray Micro-tomography Validation of HRCT-Based Airway Measurements. This project brings together a newly emergent modality of microscopy in the form of 3D X-ray micro-tomography (XRMT) along with leading-edge image analysis to develop breakthrough science in respiratory research aimed at improving the reliability of high resolution computed tomography (HRCT). The project will develop novel 3D lung image segmentation protocols, a stereotactic registration program allowing 3D matching of XRCT and ....X-ray Micro-tomography Validation of HRCT-Based Airway Measurements. This project brings together a newly emergent modality of microscopy in the form of 3D X-ray micro-tomography (XRMT) along with leading-edge image analysis to develop breakthrough science in respiratory research aimed at improving the reliability of high resolution computed tomography (HRCT). The project will develop novel 3D lung image segmentation protocols, a stereotactic registration program allowing 3D matching of XRCT and HRCT data sets, and a validation protocol for quantitative HRCT analysis of airway disease. These outcomes will allow wider application of HRCT to non-invasively follow the dynamics of pulmonary function.Read moreRead less
New Imaging Agents for Neuronal Nicotinic Receptors. Recent advances in medical imaging technology such as Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT) have radically improved the diagnosis and treatment of a wide range of diseases. The aim of this project is to discover novel radio-ligands that selectively bind to neuronal nicotinic acetylcholine receptors. These ligands will have great potential for the imaging, diagnosis and study of neurodegenerat ....New Imaging Agents for Neuronal Nicotinic Receptors. Recent advances in medical imaging technology such as Positron Emission Tomography (PET) and Single Photon Emission Computed Tomography (SPECT) have radically improved the diagnosis and treatment of a wide range of diseases. The aim of this project is to discover novel radio-ligands that selectively bind to neuronal nicotinic acetylcholine receptors. These ligands will have great potential for the imaging, diagnosis and study of neurodegenerative diseases such as Alzheimer's disease. Read moreRead less
Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised ....Unlocking the potential of quantitative x-ray micro-tomography. This project aims to build on two new ideas in data acquisition and 3D image reconstruction to bring 3D X-ray microscopy or computed tomography (CT) into advanced research use as well as common industrial applications. In the past 10 years, CT has improved our understanding in areas ranging from the evolution of life and osteoporosis to composite material failure and oil recovery. However, the full potential of CT remains unrealised because crucial features in structure and composition are overlooked by simplistic algorithms. Users cannot directly capture quantities of interest such as key compositional variation or defects, and workflows are poorly adapted for large-scale use in industrial fabrication or phenomics. This project aims to address these shortcomings using advanced mathematics and algorithms.Read moreRead less