Literature DB >> 7155067

Radiographic mottle: a comprehensive theory.

G T Barnes.   

Abstract

A comprehensive theory of radiographic density fluctuations is developed. The theory incorporates film granularity, quantum mottle, the absorbed x-ray photon energy distribution, fluctuations in phosphor light photon yield, and phosphor coating weight variations. The resulting expressions allow one to calculate the density fluctuations or, alternatively, the Wiener spectrum that will be obtained with a radiographic screen/film system from the physical parameters of the system. Reasonable agreement is obtained between experimental results and calculated values for three typical screen/film systems. An expression is also derived for the detective quantum efficiency (DQE) of screen/film systems, and the results of DQE calculations are presented for a commonly used screen/film combination as a function of density and of object size.

Mesh:

Year:  1982        PMID: 7155067     DOI: 10.1118/1.595126

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


  4 in total

1.  Comparison of three different techniques for dual-energy subtraction imaging in digital radiography: a signal-to-noise analysis.

Authors:  C C Shaw; D Gur
Journal:  J Digit Imaging       Date:  1992-11       Impact factor: 4.056

2.  Noise power properties of a cone-beam CT system for breast cancer detection.

Authors:  Kai Yang; Alexander L C Kwan; Shih-Ying Huang; Nathan J Packard; John M Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

3.  ACR-AAPM-SIIM practice guideline for determinants of image quality in digital mammography.

Authors:  Kalpana M Kanal; Elizabeth Krupinski; Eric A Berns; William R Geiser; Andrew Karellas; Martha B Mainiero; Melissa C Martin; Samir B Patel; Daniel L Rubin; Jon D Shepard; Eliot L Siegel; Judith A Wolfman; Tariq A Mian; Mary C Mahoney
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

4.  Modeling the performance characteristics of computed radiography (CR) systems.

Authors:  Srinivasan Vedantham; Andrew Karellas
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

  4 in total

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