@inproceedings{9d678dba135c4caba23e750db84dcf2b,
title = "Grating-based dark-field computed tomography: an ex-vivo porcine lung study",
abstract = "X-ray computed tomography (CT) is a well-established and frequently used technique in clinical diagnostics because of its non-destructively generated high-resolution images. There have been several refinements and promising new technologies such as dual-energy CT or photon counting detectors which gain even more detailed insights. All these techniques are restricted to the X-rays' attenuation contrast only. Dark-field CT, on the contrary, amplifies the radiological information by accessing indirect information on the tissues microstructure, including e.g., porosity, by utilizing a grating interferometer. In this work, we use ventilated ex-vivo porcine lungs to mimic the clinical use case of dark-field CT realistically. We demonstrate that the system has a sufficient sensitivity for lung imaging and obtain a first benchmark for HUd values of lung tissue.",
keywords = "computed tomography, dark-field CT, dark-field imaging, porcine lung study, X-ray imaging",
author = "Hilmer, \{Josepha F.\} and Manuel Viermetz and Jakob Haeusele and Paulina Bleuel and Bettina Kohlhaas and Nikolai Gustschin and Clemens Schmid and Daniela Pfeiffer and Thomas Koehler and Franz Pfeiffer",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE.; Medical Imaging 2025: Physics of Medical Imaging ; Conference date: 17-02-2025 Through 21-02-2025",
year = "2025",
doi = "10.1117/12.3046820",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Sabol, \{John M.\} and Ke Li and Shiva Abbaszadeh",
booktitle = "Medical Imaging 2025",
}