AI Article Synopsis

  • Researchers developed a numerical tool to directly compare the contrast-to-noise ratio (CNR) of two signals—attenuation and differential phase-contrast—in grating-based X-ray imaging.
  • They applied a Gaussian derivative filter to the attenuation projection to make it comparable with the differential phase projection and introduced a Relative Contrast Gain (RCG) metric for analysis.
  • The method was tested on human breast tissue data, showing potential for estimating the spatial distribution of the complex refractive index in tissues.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3370957PMC
http://dx.doi.org/10.1364/BOE.3.001141DOI Listing

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