IDPsPage

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

IDPs

Running IDPs

Detectability Indices in Directional X-ray Dark-field Tomography

Medical imaging modalities such as X-ray Computed Tomography (X-ray CT) or Positron Emission Computed Tomography (PET) have been the basis of accurate diagnosis in clinical practice for decades, one particular example being the detection of tumors. But medical imaging also plays a central role during the therapy, for example when planning complex surgeries or when planning and monitoring radiation therapy treatments. Advanced X-ray imaging contrast modalities, such as phase-contrast or dark-field contrast, have recently demonstrated very promising fields of application both in diagnosis and therapy. The dark-field contrast in particular promises advanced imaging capabilities that are unprecedented and not available in other medical imaging modalities. Thanks to its directional dependence, it enables resolving micro structure orientations below the detector resolution, allowing insights into various anatomical and physiological processes, such as the connectivity of the brain. However, for practical clinical application several technical issues still have to be addressed in order to reach feasibility in terms of experimental setup, acquisition and processing times as well as dose considerations. While the directional dependence and anisotropy of the X-ray dark-field signal enables new applications, it also requires more acquisitions sampled all around the object, and thus longer acquisition times, higher dose and longer processing times compared to traditional tomographic imaging modalities.
supervisor:Tobias Lasser
professor:Nassir Navab
student:Theodor Cheslerean Boghiu
start-end:2017/04/15 - 2017/08/15
Bringing a robotic SPECT/CT prototype into the OR

The objective of this project is the refinement and preparation for its first clinical use of an interventional robotic SPECT/CT prototype. This entails the development of a user-friendly GUI and the optimization of the core data processing module.
supervisor:Marco Esposito, Dr. Benjamin Frisch
professor:Prof. Dr. Nassir Navab
student:
start-end: -
Coronary Arteries

supervisor:Dr. Stefanie Demirci,Dr. Pascal Fallavollita
professor:Prof. Nassir Navab
student:Sai Gokul Hariharan
start-end:1.8.2013 -

Finished IDPs



Edit | Attach | Refresh | Diffs | More | Revision r1.9 - 09 Jun 2005 - 12:00 - AxelMoeller

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