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Numerical comparison of X-ray differential phase contrast and attenuation contrast
We present a numerical tool to compare directly the contrast-to-noise-ratio (CNR) of the attenuation- and differential phase-contrast signals available from grating-based X-ray imaging for single radiographs. The attenuation projection is differentiated to bring it into a modality comparable to the...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3370957/ https://www.ncbi.nlm.nih.gov/pubmed/22741063 http://dx.doi.org/10.1364/BOE.3.001141 |
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author | Hahn, Dieter Thibault, Pierre Bech, Martin Stockmar, Marco Schleede, Simone Zanette, Irene Rack, Alexander Weitkamp, Timm Sztrókay, Aniko Schlossbauer, Thomas Bamberg, Fabian Reiser, Maximilian Pfeiffer, Franz |
author_facet | Hahn, Dieter Thibault, Pierre Bech, Martin Stockmar, Marco Schleede, Simone Zanette, Irene Rack, Alexander Weitkamp, Timm Sztrókay, Aniko Schlossbauer, Thomas Bamberg, Fabian Reiser, Maximilian Pfeiffer, Franz |
author_sort | Hahn, Dieter |
collection | PubMed |
description | We present a numerical tool to compare directly the contrast-to-noise-ratio (CNR) of the attenuation- and differential phase-contrast signals available from grating-based X-ray imaging for single radiographs. The attenuation projection is differentiated to bring it into a modality comparable to the differential phase projection using a Gaussian derivative filter. A Relative Contrast Gain (RCG) is then defined as the ratio of the CNR of image values in a region of interest (ROI) in the differential phase projection to the CNR of image values in the same ROI in the differential attenuation projection. We apply the method on experimental data of human breast tissue acquired using a grating interferometer to compare the two contrast modes for two regions of interest differing in the type of tissue. Our results indicate that the proposed method can be used as a local estimate of the spatial distribution of the ratio δ/β, i.e., real and imaginary part of the complex refractive index, across a sample. |
format | Online Article Text |
id | pubmed-3370957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-33709572012-06-27 Numerical comparison of X-ray differential phase contrast and attenuation contrast Hahn, Dieter Thibault, Pierre Bech, Martin Stockmar, Marco Schleede, Simone Zanette, Irene Rack, Alexander Weitkamp, Timm Sztrókay, Aniko Schlossbauer, Thomas Bamberg, Fabian Reiser, Maximilian Pfeiffer, Franz Biomed Opt Express X-Ray Microscopy and Imaging We present a numerical tool to compare directly the contrast-to-noise-ratio (CNR) of the attenuation- and differential phase-contrast signals available from grating-based X-ray imaging for single radiographs. The attenuation projection is differentiated to bring it into a modality comparable to the differential phase projection using a Gaussian derivative filter. A Relative Contrast Gain (RCG) is then defined as the ratio of the CNR of image values in a region of interest (ROI) in the differential phase projection to the CNR of image values in the same ROI in the differential attenuation projection. We apply the method on experimental data of human breast tissue acquired using a grating interferometer to compare the two contrast modes for two regions of interest differing in the type of tissue. Our results indicate that the proposed method can be used as a local estimate of the spatial distribution of the ratio δ/β, i.e., real and imaginary part of the complex refractive index, across a sample. Optical Society of America 2012-04-27 /pmc/articles/PMC3370957/ /pubmed/22741063 http://dx.doi.org/10.1364/BOE.3.001141 Text en © 2012 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially. |
spellingShingle | X-Ray Microscopy and Imaging Hahn, Dieter Thibault, Pierre Bech, Martin Stockmar, Marco Schleede, Simone Zanette, Irene Rack, Alexander Weitkamp, Timm Sztrókay, Aniko Schlossbauer, Thomas Bamberg, Fabian Reiser, Maximilian Pfeiffer, Franz Numerical comparison of X-ray differential phase contrast and attenuation contrast |
title | Numerical comparison of X-ray differential phase contrast and attenuation contrast |
title_full | Numerical comparison of X-ray differential phase contrast and attenuation contrast |
title_fullStr | Numerical comparison of X-ray differential phase contrast and attenuation contrast |
title_full_unstemmed | Numerical comparison of X-ray differential phase contrast and attenuation contrast |
title_short | Numerical comparison of X-ray differential phase contrast and attenuation contrast |
title_sort | numerical comparison of x-ray differential phase contrast and attenuation contrast |
topic | X-Ray Microscopy and Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3370957/ https://www.ncbi.nlm.nih.gov/pubmed/22741063 http://dx.doi.org/10.1364/BOE.3.001141 |
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