Fusion of quantitative multi modal imaging and parametric mapping of lung structure and function and applications to COPD, asthma and long term effects of COVID-19 disease
Monday 14th June 2021
Organization: Sano center for computational medicine
Location: Krakow (Poland) and Sheffield (UK)
Title: Fusion of quantitative multi modal imaging and parametric mapping of lung structure and function and applications to COPD, asthma and long term effects of COVID-19 disease
Description: We hypothesize that image processing technique such as image registration and computer vision can improve the clinical decision making process by improving the data visualization and identify clinically relevant imaging features and parameters
Two longitudinal multi modal imaging studies investigating the impact of acute COVID-19 and of asthma and COPD on lung structure and function have started at the university of Sheffield. They are expected to generate large image data set with different resolution, contrast and time points. The clinical interpretation of these data is complex and new tools need to be developed to allow better image visualization, registration and comparison between quantitative parametric maps and time points to understand the diseases progression and derive clinically meaningful imaging predictors. Interpretation and analysis of visual information in healthcare is among the most attractive and impactful applications of computer technologies and the project will be focused on improving data interpretation.