Dark-field X-ray Integrated Into a CT Scanner
Researchers at the Technical University of Munich (TUM) have integrated the dark-field X-ray method into a CT scanner, suitable for clinical use. Dark-field imaging provides additional information to conventional X-ray imaging, making it possible to produce three-dimensional dark-field X-ray images. 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, PhD, 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.
Dark-field imaging makes use of the small-angle scattering of the X-rays. When the X-rays interact with materials of different densities such as the interface between lung tissue and air, they are scattered. The analysis of this scattering effect yields additional information on very fine tissue structures, which is otherwise not accessible with conventional X-ray images.
To detect the scattering of the X-ray radiation, a set of three optical gratings is required. They are placed between the X-ray source and detector. When X-rays pass through these gratings, a characteristic pattern is produced at the detector. When a sample or person is then positioned in the beam path, this characteristic pattern is changed. These deviations are then used to analyze the structure of the sample or the person’s tissue.
The implementation of the dark-field method in a human-size CT scanner poses various technical challenges. Until now, this has limited dark-field CT devices to a scale much smaller than would be needed for human patients. Apart from the size, the fast rotation of the scan unit also creates special difficulties for the technical design.
The scanning unit of CT scanners, known as the gantry, rotates at very high speeds. This causes vibrations that affect the finely-tuned components in the interior of the device. Based on a detailed analysis of these vibrations, the team was able to use them to implement the required shift between the gratings needed for dark-field imaging. To analyze the scans, they developed new algorithms to filter out the vibration effects based on reference scans.
“With the dark-field CT prototype, we can capture conventional and dark-field X-ray images in a single scan. This yields additional information that could be used in the future not only to diagnose lung diseases, but also to differentiate between various types of kidney stones and tissue deposits,” says Manuel Viermetz, one of the two first authors of the study published in the Proceedings of the National Academy of Sciences. As the next step, the researchers plan to further optimize the dark-field CT prototype and prepare for the first scans of human patients.