Literature DB >> 15587666

An energy- and depth-dependent model for x-ray imaging.

Brandon D Gallas1, Jonathan S Boswell, Aldo Badano, Robert M Gagne, Kyle J Myers.   

Abstract

In this paper, we model an x-ray imaging system, paying special attention to the energy- and depth-dependent characteristics of the inputs and interactions: x rays are polychromatic, interaction depth and conversion to optical photons is energy-dependent, optical scattering and the collection efficiency depend on the depth of interaction. The model we construct is a random function of the point process that begins with the distribution of x rays incident on the phosphor and ends with optical photons being detected by the active area of detector pixels to form an image. We show how the point-process representation can be used to calculate the characteristic statistics of the model. We then simulate a Gd2O2S:Tb phosphor, estimate its characteristic statistics, and proceed with a signal-detection experiment to investigate the impact of the pixel fill factor on detecting spherical calcifications (the signal). The two extremes possible from this experiment are that SNR2 does not change with fill factor or changes in proportion to fill factor. In our results, the impact of fill factor is between these extremes, and depends on the diameter of the signal.

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Year:  2004        PMID: 15587666     DOI: 10.1118/1.1806293

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  A fast, angle-dependent, analytical model of CsI detector response for optimization of 3D x-ray breast imaging systems.

Authors:  Melanie Freed; Subok Park; Aldo Badano
Journal:  Med Phys       Date:  2010-06       Impact factor: 4.071

2.  Singular value description of a digital radiographic detector: theory and measurements.

Authors:  Iacovos S Kyprianou; Aldo Badano; Brandon D Gallas; Kyle J Myers
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

3.  A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using variable-background phantoms.

Authors:  Subok Park; Robert Jennings; Haimo Liu; Aldo Badano; Kyle Myers
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

4.  A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data.

Authors:  Stefano Young; Predrag R Bakic; Kyle J Myers; Robert J Jennings; Subok Park
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

  4 in total

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