SiROP opportunities [x-ray]

Master’s Thesis Project: Revealing Trabecular Bone Architecture in 3D with Deep Learning based Super Resolution
The resolution of clinical CT images is not sufficient to characterize the complex network of trabecular bone. The student will develop a Super Resolution pipeline to enhance CT images and enable a characterization of the microarchitecture of human bone.
Advancing intensity-based iterative reconstruction for grating interferometry breast CT
Breast cancer is the most common cancer type in women. At ETH, a dedicated tomographic scanner (CT) based on grating interferometry (GI) is operated and its potential to improve early stage cancer detection is investigated. Unlike conventional CT scanners (based only on the attenuation of the x-ray beam), GI allows to additionally obtain information from the beam’s refraction and diffusion in the sample. In order to reconstruct the projection data from a GICT scan, dedicated reconstruction algorithms are needed. In our group, an intensity-based iterative algorithm was developed and successfully tested for circular scans. In order to allow to reconstruct helical scanning data from our GICT system, the forward and backward operators will have to be adjusted accordingly, which is the scope of this project. The code adjustments should then be tested with simulations and measurement data.
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.