Zernike phase contrast is a technique useful for nano-scale X-ray imaging of materials with a low absorption coefficient. It enhances the image contrast using a phase ring. However, it also creates artifacts that hinder the use of traditional techniques for X-ray computed tomography (CT) image segmentation. We propose an image restoration method that models the phase contrast optics and minimizes an energy function. Though similar techniques have been used for visible light microscopy, this method deals with more spacious samples using an effective edge detection method. This paper demonstrates the removal of artifacts in multiple slices of phase contrast X-ray CT images and the potential in using this technique to aid CT image segmentation. © 2014 Springer International Publishing.
CITATION STYLE
Kumar, A., Mandal, P., Zhang, Y. J., & Litster, S. (2014). Image restoration of phase contrast nano scale X-ray CT images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8641 LNCS, pp. 280–285). Springer Verlag. https://doi.org/10.1007/978-3-319-09994-1_28
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