How Do Thick Airway Walls Affect Airway Hyperresponsiveness In Asthma?
Funder
National Health and Medical Research Council
Funding Amount
$382,538.00
Summary
Asthmatic airways narrow too easily, a characteristic called airway hyperresponsiveness (AHR). To understand the cause of asthma we need to understand the cause of AHR. Thickened airway walls could amplify airway narrowing and increase AHR. However, thick airway walls are also stiff, and stiff walls could reduce narrowing and AHR. This project will examine the relationships between AHR and airway wall thickness and stiffness during and after treatment that reduces airway wall thickness.
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
In-vivo detection of airway injury and disease using phase contrast X-ray velocimetry. Currently diagnosis of lung disease, a major cause of death in humans, is based on clinical symptoms that do not usually manifest until the disease is well advanced. This project will develop a novel imaging technique, X-ray velocimetry, to detect changes in tissue before symptoms arise, potentially leading to strategies for managing lung diseases.