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Quantitative thoracic dark-field imaging: simulation and experimental validation
Dark-field imaging is an emerging medical diagnostic tool, which allows to assess the diffusion of unresolved micro structures. This has yielded promising results in imaging organs like the lung more efficiently and could allow for new screening opportunities to improve treatment of diseases like the chronic obstructive pulmonary disease (COPD). The dark-field contrast, however, is difficult to model and little to no data is available to improve simulation and analysis capabilities. The goal of the thesis is to utilize a novel wave propagation simulation tool and validate its ability to quantitatively simulate and model dark-field images of known lung samples with results from measured data.
Quantitative_Dark_Field_Simulation.pdf
