Siemens Healthineers Collaborates with CEA-Leti to Develop New Generation of PCDM for CT Scanners
Siemens Healthineers, a medical technology company, partners with CEA-Leti, a French technology research institute. This partnership aims to develop a new generation of photon-counting detector module (PCDM) for CT scanners. The module is designed to improve CT scanning.
As part of the collaboration, CEA-Leti researchers integrated the PCDM module into the CT scanner prototype from Siemens Healthineers. The integration of the PCDM module into the CT scanner prototype during the initial clinical trial of the PCDM system’s performance in humans, animals, and cadavers showed improved image quality. It also demonstrated reduced X-ray exposure on the human body during scanning, along with decreased image noise and increased spatial resolution.
“The successful early collaboration with CEA-Leti allowed Siemens Healthineers to prototype what the med- tech company sees as the future of detector modules for whole-body CT,” said Jean-Michel Casagrande, the project manager for medical X-ray imaging department at CEA-Leti.
The X-ray CT scanners that are in use currently are unable to directly produce X-ray photons into electronic signals, which PCDMs can do. Compared to traditional scanners, PCDMs based on cadmium telluride (CdTe) are much more efficient. They allow multi-energy images and simultaneous acquisition of high-spatial-resolution that leads to improved image quality using a small-pixel size detector.
The multi-energy feature of PCDMs allows precise determination of the atomic number of chemical elements present in the human body which enables production of color images as compared to the grey-level images of conventional X-ray detectors. The PCDM system can produce much more precise images of even fine structures like small airways in the human body.
Images of more than 300 patients produced with the technology yield several important clinical benefits. She went on to add that the ability to simultaneously acquire multiple 150-micron-resolution datasets, each of which represents a different energy spectrum, could lead to new clinical applications in addition to improving medical diagnoses,” said Cynthia McCollough of Mayo Clinic.