Optimization of μCT imaging systems for soft-tissue dedicated tasks

Abstract

These contributions are a major refinement allowing the assessment of disease involvement in the lungs, with translational capabilities for clinical diagnosis of any pulmonary diseases causing lung opacities (i.e. injury, infection or tumorigenesis). In preclinical imaging, it will significantly reduce heterogeneity and animal numbers while improving reproducibility of disease models which are key issues in non-humane primate models. The outcomes from this thesis could eventually help bring more effective drugs to patients by improving the predictive power of preclinical methods. In clinical imaging, X-ray imaging is currently in the World Health Organization guidelines for patients suspected of tuberculosis, and this first diagnostic line by imaging can directly benefit from the biomarkers thoroughly verified in preclinical models.