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.

A wide range of software techniques and advanced computer systems are developed that enable creation of three-dimensional images. Spiral CT allows the acquisition of CT data that is perfectly suited to 3D reconstruction. Advanced CT scanners image entire anatomic regions like the lungs in one breath hold and acquire a volume of data with the patient anatomy all in one position. This volume data is reconstructed to provide 3 dimensional pictures of for example complex blood vessels like the renal arteries or aorta. 3D reconstructions allow surgeons to visualize complex fractures in three dimensions and can help them plan reconstructive surgery.

A zoom reconstruction is the enlarged reconstruction of a part of an image. A zoom reconstruction uses the raw data of a scan. Zooming or targeting requires the operator to manipulate the displayed field of view.

The reconstruction matrix is the array of rows and columns of pixels in the reconstructed image.

Multiplanar reconstruction or reformatting is a post-processing technique to create new images from a stack of images in planes other than that of the original stack.
The use of thin slices increases the spatial resolution in the scan axis direction, allowing a high spatial resolution in all planes. Isotropic resolution results in high quality multiplanar and 3D reconstructions which are of particular benefit in CT angiography and virtual colonoscopy studies.