In computed tomography (CT), signals are represented using discrete samples obtained from the X-ray attenuation data collected from various angles around the object. These samples are typically arranged in a two-dimensional grid, corresponding to the projection data captured by the detector. The process of reconstructing the CT image from these samples involves algorithms, such as filtered back projection or iterative reconstruction methods, which convert the raw projection data into a visual representation of the internal structures of the scanned object. This sampling approach allows for effective visualization of complex anatomical features while maintaining sufficient resolution.
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