Description: A robot for X-ray computed tomography is an automated device that assists in conducting medical imaging studies using X-ray technology. These robots are designed to enhance the accuracy and efficiency of image acquisition, facilitating the diagnostic process in various medical fields. Their operation is based on the integration of advanced robotic systems with computed tomography equipment, allowing for precise positioning of the patient and the X-ray apparatus. This not only optimizes examination time but also reduces radiation exposure, as the robot can automatically adjust image parameters according to the specific needs of the study. Additionally, these robots can be programmed to perform multiple tasks, such as patient preparation and data management, freeing healthcare professionals to focus on image analysis and patient treatment. In summary, X-ray computed tomography robots represent a significant advancement at the intersection of robotics and medicine, improving diagnostic quality and patient care.
History: Computed tomography was developed in the 1970s, with the first commercial scanner launched in 1971 by British engineer Godfrey Hounsfield and South African physicist Allan Cormack, who received the Nobel Prize in Medicine in 1979 for their work. Over time, the technology has evolved, and in recent decades, robotics has begun to integrate into the field of tomography, allowing for greater control and precision in imaging procedures.
Uses: X-ray computed tomography robots are primarily used in hospitals and clinics to conduct diagnostic studies in various medical specialties, such as oncology, neurology, and traumatology. Their ability to produce high-quality images of internal body structures is crucial for the detection and monitoring of diseases.
Examples: An example of a computed tomography robot is the Siemens ‘CT Scanner,’ which incorporates robotic technology to enhance image acquisition accuracy. Another example is Toshiba’s ‘Aquilion ONE’ system, which uses a robotic approach to optimize the scanning process and reduce radiation exposure.
