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Proceedings Paper

Novel algebraic reconstruction technique for faster and finer CT reconstruction
Author(s): Sajib Saha; Murat Tahtali; Andrew Lambert; Mark Pickering
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Paper 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.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 878307 (13 March 2013); doi: 10.1117/12.2011073
Show Author Affiliations
Sajib Saha, Univ. of New South Wales Canberra (Australia)
Murat Tahtali, Univ. of New South Wales Canberra (Australia)
Andrew Lambert, Univ. of New South Wales Canberra (Australia)
Mark Pickering, Univ. of New South Wales Canberra (Australia)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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