370x370px<unk>  is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite number of projections. The mathematical basis for<unk>  imaging was laid down by Johann Radon. A notable example of applications is the<unk>  of computed tomography (CT) where cross-sectional images of patients are obtained in non-invasive manner. Recent developments have seen the Radon transform and its inverse used for tasks related to realistic object insertion required for testing and evaluating computed tomography use in airport security. This article applies in general to<unk>  methods for all kinds of tomography, but some of the terms and physical descriptions refer directly to the<unk>  of X-ray computed tomography.
Tomographic reconstruction
Enterprise imaging
ReSPECT process
Synthetic MRI
VistA Imaging
X-ray image intensifier
Orthovoltage X-rays
Triangle of auscultation