Paper
27 August 2015 Big-data x-ray phase contrast imaging simulation challenges
Author Affiliations +
Abstract
This position paper describes a potential implementation of a large-scale grating-based X-ray Phase Contrast Imaging System (XPCI) simulation tool along with the associated challenges in its implementation. This work proposes an implementation based off of an implementation by Peterzol et. al. where each grating is treated as an object imaged in the field-of-view. Two main challenges exist; the first, is the required sampling and information management in object space due to the micron-scale periods of each grating propagating over significant distances. The second is maintaining algorithmic numerical stability for imaging systems relevant to industrial applications. We present preliminary results for a numerical stability study using a simplified algorithm that performs Talbot imaging in a big-data context
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Edward S. Jimenez Jr. and Amber L. Dagel "Big-data x-ray phase contrast imaging simulation challenges", Proc. SPIE 9594, Medical Applications of Radiation Detectors V, 95940I (27 August 2015); https://doi.org/10.1117/12.2195584
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KEYWORDS
Computer simulations

Monte Carlo methods

Imaging systems

X-ray imaging

X-rays

Numerical stability

Phase contrast

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