Big-data x-ray phase contrast imaging simulation challenges

Edward S. Jimenez Jr.; Amber L. Dagel

doi:10.1117/12.2195584

27 August 2015 Big-data x-ray phase contrast imaging simulation challenges

Proceedings Volume 9594, Medical Applications of Radiation Detectors V; 95940I (2015) https://doi.org/10.1117/12.2195584
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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

Citation Download Citation

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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