Web application for tracking micro-fabrication processes | |
The aim of this project is to develop a database and web-interface for the X-ray micro-fabrication team at PSI and ETHZ to track realized pieces, fabrication protocols and characterization of the products. | |
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. | |
Deep learning based 3D segmentation of X-ray microtomographic volumes from the human middle ear | |
The aim of the project is to develop a deep learning model capable of performing 3D semantic segmentation of the different features of the middle ear, from synchrotron-based X-ray microtomography 3D volumes. Challenges include developing a high-performance algorithm for handling large data sizes (20 GB per volume). The project consists in a first phase about dataset generation followed by a second phase of development/selection of the most appropriate DL model and metrics. |
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