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ADART: An Adaptive Algebraic Reconstruction Algorithm for Discrete Tomography

ADART: An Adaptive Algebraic Reconstruction Algorithm for Discrete Tomography,10.1109/TIP.2011.2114894,IEEE Transactions on Image Processing,F. Javier

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ADART: An Adaptive Algebraic Reconstruction Algorithm for Discrete Tomography  
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In this paper we suggest an algorithm based on the Discrete Algebraic Reconstruction Technique (DART) which is capable of computing high quality reconstructions from substan- tially fewer projections than required for conventional continuous tomography. Adaptive DART (ADART) goes a step further than DART on the reduction of the number of unknowns of the asso- ciated linear system achieving a significant reduction in the pixel error rate of reconstructed objects. The proposed methodology automatically adapts the border definition criterion at each itera- tion, resulting in a reduction of the number of pixels belonging to the border, and consequently of the number of unknowns in the general algebraic reconstruction linear system to be solved, being this reduction specially important at the final stage of the iterative process. Experimental results show that reconstruction errors are considerably reduced using ADART when compared to original DART, both in clean and noisy environments.
Journal: IEEE Transactions on Image Processing , vol. 20, no. 8, pp. 2146-2152, 2011
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