Back projection is a mathematical procedure used to reconstruct CT images. Back Projection is based on the blurring of the x-rays within a projection back along the direction in which they were measured.

Convolution is an important mathematical technique in digital signal processing. Raw data undergo spatial filtration prior to back projection by combining two signals to form a third signal. Convolution is related to the input signal, the output signal, and the impulse response. This operation is mostly used together with Fourier transformations for CT signal and image processing.

Raw data are the values of all measured detector signals during a scan. After calibration for fluctuations in tube output and beam hardening, the attenuation properties of each x-ray signal are accounted and correlated with the ray position. From these data the CT images are reconstructed including the use of mathematical procedures like convolution filtering and back projection.
Raw data can also be used for later reconstruction of additional planes and images by using a different convolution filter, zoom reconstruction, or an alternative CT number scale.

See also Magnification, Archiving, Number of Measurements and Convolution.

Reconstruction is the mathematical process by which the displayed image is produced from the raw data.
Used equipment and data processing methods to reconstruct CT images:
See also Zoom Reconstruction, Reconstruction Matrix and Multiplanar Reconstruction.