Node QCI
Core-Team: Thomas Beyer, Marcus Hacker, Rupert Lanzenberger, Siegfried Trattnig
Speaker: Rupert Lanzenberger
Imaging is an essential part of state-of-the-art clinical patient management. Here, a shift from qualitative imaging to quantitative imaging adds information regarding the early stages, extent and grade of diseases, and more so, in therapy response assessment. This shift is supplemented by the extraction of special imaging parameters, derived from stationary or dynamic image data as acquired through standard imaging and following additional dedicated imaging acquisitions chose prospectively with regards to the clinical question.
The Quantitative Clinical Imaging (QCI) Node was set up to provide expertise in a number of imaging techniques, which provide essential quantitative information beyond simple visual biomarker representation.
The main areas of interest include:
- Assessing and promoting the potential of anato-metabolic imaging in clinical practice and research
- Supporting the implementation of dedicated imaging protocols
- Developing standardised algorithms for extracting quantitative image information
- Supporting clinical trials with expertise in quality control of quantitative imaging techniques, data extraction and management and protocol standardisation.
Further improvements in quantitative accuracy are expected throught the use of dual-modality imaging methods, such as PET/CT and PET/MRI. These are related to anatomically-guided image reconstruction of image-guided motion correction of list mode data streams.
Quantitative clinical imaging by means of single- and dual-modality imaging (hardware and software) shall provide access to visual, quantitative and multi-parametric biomarkers for routine use in clinical routine and advanced research applications. Therefore, the focus of the QCI node activities lends itself to a close collaboration with nodes within the Medical Imaging Cluster and beyond, with parties interested in imaging in other clusters at the MedUni Vienna.
QUO VADIS - Node Vision
- Raising awareness for quantitative biomarker information
- Sensitising imaging users to the need for standardised protocols
- Assessing benefit in diagnostic information from multi-modality and multi-parameteric imaging
- Explore technological and methodological advances in CT, MRI, PET, SPECT and US
Team: (Groupleader in alphabetic order):
- Gerd Bodner, Universitätsklinik für Radiologie und Nuklearmedizin, US
- Martin Bauer, Universitätsklinik für Klinische Pharmakologie
- Thomas Czech, Universitätsklinik für Neurochirurgie
- Senta Graf, Universitätsklinik für Innere Medizin II, Kardiologie
- Alexander Haug, Universitätsklinik für Radiologie und Nuklearmedizin
- Gabor Kovacs, Klinisches Institut für Neurologie, Neuropathologie
- Oliver Langer, Universitätsklinik für Klinische Pharmakologie
- Hans Lassmann, Zentrum für Hirnforschung, Immunologie
- Anton Luger, Universitätsklinik für Innere Medizin III, MRS, Endokrinologie
- Stefan Marlovits, Universitätsklinik für Unfallchirurgie, mpMR, NA-MR
- Gerald Maurer, Universitätsklinik für Innere Medizin II
- Klaus Novak, Universitätsklinik für Neurochirurgie
- Walter Pirker, Universitätsklinik für Neurologie
- Daniela Prayer, Universitätsklinik für Radiologie und Nuklearmedizin, Neuroradiologie
- Helmut Ringl, Universitätsklinik für Radiologie und Nuklearmedizin, CT
- Jürgen Sandkühler, Zentrum für Hirnforschung, Neurophysiologie
- Shahrokh Shariat, Universitätsklinik für Urologie, Urologie
- Michael Töpker, Universitätsklinik für Radiologie und Nuklearmedizin, CT
- Tatjana Traub-Weidinger, Universitätsklinik für Radiologie und Nuklearmedizin, PET
- Michael Trauner, Universitätsklinik für Innere Medizin III, MRS, MRE
- Reinhard Windhager, Universitätsklinik für Orthopädie, mpMR, NA-MR
- Markus Zeitlinger, Universitätsklinik für Klinische Pharmakologie