Conventional computed tomography (CT) systems are encapsulated in hardware and software. Integration of further imaging modalities and sensors which can acquire prior knowledge for dose saving image acquisition and reconstruction techniques are barely possible. Within the scope of our research project, an open interface and freely configurable CT system is now being developed. The integration of further modalities and sensors into this system is a main target. A subproject deals with a multi sensor patient table, which provides additional information through integrated sensors. In particular, force sensors are installed inside the patient table to determine the patient’s mass. This value can be used to specify the required tube voltage, so that a more precise setting can be made in comparison to today‘s clinical practice. Studys show that a more precise kVp estimation can significantly reduce patient dose. Sensors for the monitoring of respiration and pulse are also integrated into the setup of the patient table. On the one hand, these are designed to encourage the patients to minimize disturbing movements and on the other hand to generate trigger signals for the examination. In addition to the sensor concept of the table, a position control system for vertical and horizontal movement of the table is integrated. The position of the table can be adjusted using different input devices so that a fast and intuitive handling of the table movement can be achieved for standard diagnostic and CT guided interventional procedures. The communication between all sensors, actors and the CT ist realized via the Robot Operating System (ROS) framework.
Current Directions in Biomedical Engineering is an open access journal and closely related to the journal
Biomedical Engineering - Biomedizinische Technik.CDBME is a forum for the exchange of knowledge in the fields of biomedical engineering, medical information technology and biotechnology/bioengineering for medicine and addresses engineers, natural scientists, and clinicians working in research, industry, or clinical practice.