Contour reconstruction in 3-D x-ray CT

The authors derive an algorithm for reconstructing contours of an object from 3-D cone beam x-ray data. By reducing the amount of the searched-for information, contours, or density jumps instead of the densities themselves, they are able to develop fast algorithms for data incomplete with respect to both the movement of the x-ray source and the detector reading. The method is related to local or Lambda tomography. Numerical simulations show the efficiency of the algorithm