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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2012
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
Descripción
Sumario: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.