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Algebraic reconstruction techniques can be made computationally efficient [positron emission tomography application]

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2 Author(s)
G. T. Herman ; Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA, USA ; L. B. Meyer

Algebraic reconstruction techniques (ART) are iterative procedures for recovering objects from their projections. It is claimed that by a careful adjustment of the order in which the collected data are accessed during the reconstruction procedure and of the so-called relaxation parameters that are to be chosen in an algebraic reconstruction technique, ART can produce high-quality reconstructions with excellent computational efficiency. This is demonstrated by an example based on a particular (but realistic) medical imaging task, showing that ART can match the performance of the standard expectation-maximization approach for maximizing likelihood (from the point of view of that particular medical task), but at an order of magnitude less computational cost

Published in:

IEEE Transactions on Medical Imaging  (Volume:12 ,  Issue: 3 )