Abstract
The goal of the work was to develop a general method for processing spectral x-ray image data. Principle component analysis (PCA) is a well understood technique for multivariate data analysis and so was investigated. To assess this method, spectral (multi-energy) computed tomography (CT) data was obtained using a Medipix2 detector in a MARS-CT (Medipix All Resolution System). PCA was able to separate bone (calcium) from two elements with k-edges in the X-ray spectrum used (iodine and barium) within a mouse. This has potential clinical application in dual-energy CT systems and future Medipix3 based spectral imaging where up to eight energies can be recorded simultaneously with excellent energy resolution. © 2010 Elsevier B.V. All rights reserved.
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Butler, A. P. H., Butzer, J., Schleich, N., Cook, N. J., Anderson, N. G., Scott, N., … Butler, P. H. (2011). Processing of spectral X-ray data with principal components analysis. In Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment (Vol. 633). https://doi.org/10.1016/j.nima.2010.06.149
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