Variance-based iterative image reconstruction from few views in limited-angle C-arm computed tomography

Wissam El Hakimi; Georgios Sakas

doi:10.1117/12.2043625

19 March 2014 Variance-based iterative image reconstruction from few views in limited-angle C-arm computed tomography

Wissam El Hakimi, Georgios Sakas

Proceedings Volume 9033, Medical Imaging 2014: Physics of Medical Imaging; 90332Q (2014) https://doi.org/10.1117/12.2043625
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

C-arm cone-beam computed tomography offers CT-like 3D imaging capabilities, but with the additional advantage of being appropriate for interventional suites. Due to the limitations of the data acquisition system, projections are oft acquired in a short scan angular range, resulting in significant artifacts, if conventional analytic formulas are applied. Furthermore, the presence of high-density objects, like metal parts, induces streak-like artifacts, which can obscure relevant anatomy. We present a new algorithm to reduce such artifacts and enhance the quality of reconstructed 3D volume. We make use of the variance of estimated voxel values over all projections to decrease the ground artifact level. The proposed algorithm is less sensitive to data truncation, and does not require explicit estimation of missing data. The number of required images is very low (up to 56 projections), which have several benefits, like significant reduction of patient dose and shortening of the acquisition time. The performance of the proposed method is demonstrated based on simulations and phantom data.

Citation Download Citation

Wissam El Hakimi and Georgios Sakas "Variance-based iterative image reconstruction from few views in limited-angle C-arm computed tomography", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90332Q (19 March 2014); https://doi.org/10.1117/12.2043625

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