Paper
28 May 2019 Theoretically-exact filtered-backprojection reconstruction from real data on the line-ellipse-line trajectory
Zijia Guo, Günter Lauritsch, Andreas Maier, Frédéric Noo
Author Affiliations +
Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110720T (2019) https://doi.org/10.1117/12.2533655
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
C-arm CT imaging can be improved in terms of axial coverage and cone-beam artifacts using advanced data acquisition geometries such as the extend line-ellipse-line trajectory. Previously, we showed that such a geometry can be robustly implemented on a clinical system. Here, we demonstrate that imperfections in the trajectory realization can be addressed so as to achieve accurate high contrast imaging with a theoretical-exact filtered- backprojection algorithm. The performance of the proposed algorithm is evaluated using the FORBILD head phantom as well as real data of an anthropomorphic head phantom.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zijia Guo, Günter Lauritsch, Andreas Maier, and Frédéric Noo "Theoretically-exact filtered-backprojection reconstruction from real data on the line-ellipse-line trajectory", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110720T (28 May 2019); https://doi.org/10.1117/12.2533655
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KEYWORDS
Head

Reconstruction algorithms

Computed tomography

Data acquisition

Computer simulations

Sensors

Image quality

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