Literature DB >> 11008963

Dose efficiency and low-contrast detectability of an amorphous silicon x-ray detector for digital radiography.

R Aufrichtig1, P Xue.   

Abstract

The effect of dose reduction on low-contrast detectability is investigated theoretically and experimentally for a production grade amorphous silicon (a-Si) x-ray detector and compared with a standard thoracic screen-film combination. A non-prewhitening matched filter observer model modified to include a spatial response function and internal noise for the human visual system (HVS) is used to calculate a signal-to-noise ratio (SNR) related to object detectability. Other inputs to the SNR calculation are the detective quantum efficiency (DQE) and the modulation transfer function (MTF) of the imaging system. Besides threshold detectability, the model predicts the equivalent perception dose ratio (EPDR), which is the fraction of the screen film exposure for which the digital detector provides equal detectability. Images of a contrast-detail phantom are obtained with the digital detector at dose levels corresponding to 27%, 41%, 63% and 100% of the dose used for screen-film. The images are used in a four-alternative forced choice (4-AFC) observer perception study in order to measure threshold detectability. A statistically significant improvement in contrast detectability is measured with the digital detector at 100% and 63% of the screen-film dose. There is no statistical difference between screen-film and digital at 41% of the dose. On average, the experimental EPDR is 44%, which agrees well with the model prediction of 40%.

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Year:  2000        PMID: 11008963     DOI: 10.1088/0031-9155/45/9/316

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  5 in total

1.  A perceptual evaluation of JPEG 2000 image compression for digital mammography: contrast-detail characteristics.

Authors:  Sankararaman Suryanarayanan; Andrew Karellas; Srinivasan Vedantham; Sandra M Waldrop; Carl J D'Orsi
Journal:  J Digit Imaging       Date:  2004-03       Impact factor: 4.056

2.  Detection of simulated microcalcifications in a phantom with digital mammography: effect of pixel size.

Authors:  Sankararaman Suryanarayanan; Andrew Karellas; Srinivasan Vedantham; Ioannis Sechopoulos; Carl J D'Orsi
Journal:  Radiology       Date:  2007-05-23       Impact factor: 11.105

3.  Optimisation of radiological protocols for chest imaging using computed radiography and flat-panel X-ray detectors.

Authors:  G Compagnone; M Casadio Baleni; E Di Nicola; M Valentino; M Benati; L F Calzolaio; N Oberhofer; E Fabbri; S Domenichelli; L Barozzi
Journal:  Radiol Med       Date:  2012-10-22       Impact factor: 3.469

4.  Copper filtration in pediatric digital X-ray imaging: its impact on image quality and dose.

Authors:  Philippe Brosi; Anja Stuessi; Francis R Verdun; Peter Vock; Rainer Wolf
Journal:  Radiol Phys Technol       Date:  2011-03-23

5.  High-resolution μCT of a mouse embryo using a compact laser-driven X-ray betatron source.

Authors:  Jason M Cole; Daniel R Symes; Nelson C Lopes; Jonathan C Wood; Kristjan Poder; Saleh Alatabi; Stanley W Botchway; Peta S Foster; Sarah Gratton; Sara Johnson; Christos Kamperidis; Olena Kononenko; Michael De Lazzari; Charlotte A J Palmer; Dean Rusby; Jeremy Sanderson; Michael Sandholzer; Gianluca Sarri; Zsombor Szoke-Kovacs; Lydia Teboul; James M Thompson; Jonathan R Warwick; Henrik Westerberg; Mark A Hill; Dominic P Norris; Stuart P D Mangles; Zulfikar Najmudin
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-05       Impact factor: 11.205

  5 in total

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