4 October 2016 Optimized x-ray source scanning trajectories for iterative reconstruction in high cone-angle tomography
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With the GPU computing becoming main-stream, iterative tomographic reconstruction (IR) is becoming a com- putationally viable alternative to traditional single-shot analytical methods such as filtered back-projection. IR liberates one from the continuous X-ray source trajectories required for analytical reconstruction. We present a family of novel X-ray source trajectories for large-angle CBCT. These discrete (sparsely sampled) trajectories optimally fill the space of possible source locations by maximising the degree of mutually independent information. They satisfy a discrete equivalent of Tuy’s sufficiency condition and allow high cone-angle (high-flux) tomog- raphy. The highly isotropic nature of the trajectory has several advantages: (1) The average source distance is approximately constant throughout the reconstruction volume, thus avoiding the differential-magnification artefacts that plague high cone-angle helical computed tomography; (2) Reduced streaking artifacts due to e.g. X-ray beam-hardening; (3) Misalignment and component motion manifests as blur in the tomogram rather than double-edges, which is easier to automatically correct; (4) An approximately shift-invariant point-spread-function which enables filtering as a pre-conditioner to speed IR convergence. We describe these space-filling trajectories and demonstrate their above-mentioned properties compared with a traditional helical trajectories.
Conference Presentation
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Andrew M. Kingston, Andrew M. Kingston, Glenn R. Myers, Glenn R. Myers, Shane J. Latham, Shane J. Latham, Heyang Li, Heyang Li, Jan P. Veldkamp, Jan P. Veldkamp, Adrian P. Sheppard, Adrian P. Sheppard, } "Optimized x-ray source scanning trajectories for iterative reconstruction in high cone-angle tomography", Proc. SPIE 9967, Developments in X-Ray Tomography X, 996712 (4 October 2016); doi: 10.1117/12.2238297; https://doi.org/10.1117/12.2238297

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