For the first time, a team of researchers at the Technical University of Munich (TUM) has integrated the dark-field X-ray method into a CT scanner suitable for clinical use. Dark-field imaging provides additional information ...
Computed tomography (CT) is one of the most important clinical methods for precise and fast diagnostics. By combining multiple X-ray images three-dimensional images of the patient are generated.
With dark-field imaging now additional information on fine tissue structures, in particular in the lung, is accessible. Until now, technical challenges have prevented the integration of this new technology into clinical CT scanners to examine patients.
A team of researchers working with Franz Pfeiffer, Professor for Biomedical Physics and Director of the Munich Institute of Biomedical Engineering at TUM, has now developed a CT scanner that combines both X-ray technologies.
"For the first time, we showed that dark-field X-ray technology can also be integrated into a clinical CT scanner. Although this technology is in its early stages, pre-clinical studies with mice have demonstrated clear benefits from dark-field CT scans, especially for capturing images of lung tissue," says Franz Pfeiffer, who headed the study.
The new CT prototype has already been used successfully with a thorax phantom, a model of a human upper body, and is large enough for the intended applications with real patients.
Prof. Dr. Franz Pfeiffer (back, left), Professor for Biomedical Physics, and his team have developed a prototype of a clinical CT scanner which combines dark-field and conventional X-ray technology (back right: Dr. Thomas Koehler, front left: Clemens Schmid, front right: Manuel Viermetz). Credit: Astrid Eckert / TUM
Prof. Dr. Franz Pfeiffer (back, left), Professor for Biomedical Physics, and his team have developed a prototype of a clinical CT scanner which combines dark-field and conventional X-ray technology (back right: Dr. Thomas Koehler, front left: Clemens Schmid, front right: Manuel Viermetz). Credit: Astrid Eckert / TUM