Novel algebraic reconstruction technique for faster and finer CT reconstruction

Sajib Saha; Murat Tahtali; Andrew Lambert; Mark Pickering

doi:10.1117/12.2011073

13 March 2013 Novel algebraic reconstruction technique for faster and finer CT reconstruction

Sajib Saha, Murat Tahtali, Andrew Lambert, Mark Pickering

Proceedings Volume 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing; 878307 (2013) https://doi.org/10.1117/12.2011073
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

n this paper, we present an innovative iterative algorithm for tomographic reconstruction. Algebraic reconstruction technique (ART) which is considered as the core of iterative approach has been enhanced to ensure much finer and faster reconstruction. Backprojection has been customized to make it work even when the projections are not uniformly distributed. Contour information of the object has been combined with customized backprojection to ensure a better initial guess to start ART iterations. Based on experiments with both simulated and real medical images it has been shown that the proposed modality is capable of computing more accurate reconstructions in addition with lower computational cost than traditional ART.

Citation Download Citation

Sajib Saha, Murat Tahtali, Andrew Lambert, and Mark Pickering "Novel algebraic reconstruction technique for faster and finer CT reconstruction", Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 878307 (13 March 2013); https://doi.org/10.1117/12.2011073

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