Paper
5 September 2014 3D x-ray reconstruction using lightfield imaging
Author Affiliations +
Abstract
Existing Computed Tomography (CT) systems require full 360 rotation projections. Using the principles of lightfield imaging, only 4 projections under ideal conditions can be sufficient when the object is illuminated with multiple-point Xray sources. The concept was presented in a previous work with synthetically sampled data from a synthetic phantom. Application to real data requires precise calibration of the physical set up. This current work presents the calibration procedures along with experimental findings for the reconstruction of a physical 3D phantom consisting of simple geometric shapes. The crucial part of this process is to determine the effective distances of the X-ray paths, which are not possible or very difficult by direct measurements. Instead, they are calculated by tracking the positions of fiducial markers under prescribed source and object movements. Iterative algorithms are used for the reconstruction. Customized backprojection is used to ensure better initial guess for the iterative algorithms to start with.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sajib Saha, Murat Tahtali, Andrew Lambert, and Mark R. Pickering "3D x-ray reconstruction using lightfield imaging", Proc. SPIE 9209, Advances in Computational Methods for X-Ray Optics III, 92090T (5 September 2014); https://doi.org/10.1117/12.2061529
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Reconstruction algorithms

X-rays

Sensors

X-ray imaging

X-ray sources

Calibration

Compressed sensing

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