ITERATIVE IMAGE RECONSTRUCTION METHODS IN CONE BEAM CT APPLIED TO PHANTOM AND CLINICAL DATA

W. Qiu, M. Soleimani, C. N. Mitchell, Tom Marchant, Chris Moore

Abstract

Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from 2D projection data. In CBCT reconstruction, iterative methods of image reconstruction offer the potential to generate high quality images and would be an advantage especially for sparse data sets. CBCT image reconstruction software has been developed based on Multi-Instrument Data Analysis System (MIDAS) tomography toolbox. In this paper, we present a comparative study of SIRT and ART algorithms, developed in MIDAS platform. The results will be shown using phantom and clinical patient data.

References

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Paper Citation


in Harvard Style

Qiu W., Soleimani M., N. Mitchell C., Marchant T. and Moore C. (2010). ITERATIVE IMAGE RECONSTRUCTION METHODS IN CONE BEAM CT APPLIED TO PHANTOM AND CLINICAL DATA . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: ECSMIO, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 550-553. DOI: 10.5220/0002892005500553


in Bibtex Style

@conference{ecsmio10,
author={W. Qiu and M. Soleimani and C. N. Mitchell and Tom Marchant and Chris Moore},
title={ITERATIVE IMAGE RECONSTRUCTION METHODS IN CONE BEAM CT APPLIED TO PHANTOM AND CLINICAL DATA},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: ECSMIO, (VISIGRAPP 2010)},
year={2010},
pages={550-553},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002892005500553},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: ECSMIO, (VISIGRAPP 2010)
TI - ITERATIVE IMAGE RECONSTRUCTION METHODS IN CONE BEAM CT APPLIED TO PHANTOM AND CLINICAL DATA
SN - 978-989-674-028-3
AU - Qiu W.
AU - Soleimani M.
AU - N. Mitchell C.
AU - Marchant T.
AU - Moore C.
PY - 2010
SP - 550
EP - 553
DO - 10.5220/0002892005500553