![]() ![]() Spinning tube, commonly called spiral CT, or helical CT, is an imaging technique in which an entire X-ray tube is spun around the central axis of the area being scanned. The axial slice (right) is the image that corresponds to number 2/33 on the coronal slice (left). Spiral CT Drawing of CT fan beam and patient in a CT imaging system CT scan of the thorax. This results in an increased time of scanning. The table has to make a stop in taking slices. Then the table increments again and another slice is taken. The table increments to a particular location and then stops which is followed by the X-ray tube rotation and acquisition of a slice. Sequential CT also known as step-and-shoot CT is a type of scanning method in which the CT table moves stepwise. On the basis of image acquisition and procedures various type of scanners are available in the market. The 1979 Nobel Prize in Physiology or Medicine was awarded jointly to South African-American physicist Allan MacLeod Cormack and British electrical engineer Godfrey Hounsfield "for the development of computer-assisted tomography". While CT is most prominently used in medical diagnosis, it can also be used to form images of non-living objects. Since its development in the 1970s, CT scanning has proven to be a versatile imaging technique. CT scan can be used in patients with metallic implants or pacemakers, for whom magnetic resonance imaging (MRI) is contraindicated. The multiple X-ray measurements taken from different angles are then processed on a computer using tomographic reconstruction algorithms to produce tomographic (cross-sectional) images (virtual "slices") of a body. ĬT scanners use a rotating X-ray tube and a row of detectors placed in a gantry to measure X-ray attenuations by different tissues inside the body. The personnel that perform CT scans are called radiographers or radiology technologists. ![]() A computed tomography scan ( CT scan formerly called computed axial tomography scan or CAT scan) is a medical imaging technique used to obtain detailed internal images of the body. ![]()
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