2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TP-L5.2
Session:Biomedical Imaging III: Tomography
Time:Tuesday, September 18, 14:50 - 15:10
Presentation: Lecture
Title: DART: A FAST HEURISTIC ALGEBRAIC RECONSTRUCTION ALGORITHM FOR DISCRETE TOMOGRAPHY
Authors: Kees Joost Batenburg; University of Antwerp 
 Jan Sijbers; University of Antwerp 
Abstract: Discrete tomography (DT) is concerned with the tomographic reconstruction of images that consist of only a small number of gray levels. DT reconstruction problems are usually underdetermined. Therefore, incorporation of heuristic rules to guide the reconstruction algorithm towards an optimal as well as intuitive solution would be valuable. In this paper, we introduce DART: a new, heuristic DT algorithm that is based on an iterative algebraic reconstruction method. Starting from a continuous reconstruction, a discrete image is reconstructed by consistent updating of border pixels. Using simulation experiments, it is shown that the DART algorithm is capable of computing high quality reconstructions from substantially fewer projections than required for conventional continuous tomography.



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