Medical imaging is an area of research that bridges the gap between basic and clinical science. It and serves the common goal of developing and evaluating novel techniques for the image-based assessment and image-guided treatment of a wide spectrum of diseases.
It is critical in advancing our understanding of normal variability and disease, the corresponding development of novel imaging markers and diagnostic approaches, and finally their implementation in a clinical setting. Accordingly, different scientific disciplines are involved, including, but not limited to, radiology, nuclear medicine and radiopharmacy, biomedical engineering and medial physics, computer science, machine learning, image processing, radiation oncology, ophthalmology, and psychiatry. This multi-disciplinary approach is reflected by the Medical Imaging Cluster (MIC) of the Medical University of Vienna.
With its complementary spectrum of participating clinical departments and basicscience oriented centers and institutes, the MIC provides a solid framework for research collaborations, recruitment of teaching personnel such as junior and senior PhD supervisors, and most importantly a productive research environment for the embedding of early stage researchers and PhD students.
Cutting-edge technical equipment, including an ultra-high-field 7-Tesla MR scanner as well as several 3-T MR scanners; a dual-source 128-row CT scanner; whole-body hybrid PET/CT (positron emission tomography / computed tomography) and MR/PET (magnetic resonance imaging / PET) scanners; a dedicated radiopharmacy laboratory including a cyclotron; a fully-equipped preclinical (small animal) molecular imaging laboratory (PIL); optical coherence tomography (OCT); light-sheet, electron, confocal, as well as epifluorescence microscopes; are available. In accordance with the scientific structure of the Medical Imaging Cluster, which is composed of six scientific nodes, research topics and thematic fields for PhD theses are anticipated to cover the areas described below.