Literature DB >> 16696488

Effect of scatter and an antiscatter grid on the performance of a slot-scanning digital mammography system.

Sam Z Shen1, Aili K Bloomquist, Gord E Mawdsley, Martin J Yaffe, Idris Elbakri.   

Abstract

The use of a grid increases perceptibility of low contrast objects in mammography. Slot-scan mammography provides a more dose efficient reduction of the scattered radiation reaching the detector than obtained with an antiscatter grid in screen-film or flat-panel digital mammography. In this paper, the potential of using a grid in a slot-scan system to provide a further reduction of scattered radiation is investigated. The components of the digital signal: primary radiation, off-focus radiation, scattered radiation, and optical fluorescence glare in a CsI(Tl) detector were quantified. Based on these measurements, the primary and scatter transmission factors (Tp, Ts), scatter-to-primary ratio (SPR), signal-difference-to-noise ratio (SDNR), and the SDNR improvement factor (K(SDNR)) were obtained. Our results showed that the SPR ranged from 0.05 to 0.19 for breast thicknesses between 2 and 8 cm, respectively. The values of K(SDNR) ranged from 0.85 to 0.94. Because the slot-scanning system has an inherently low SPR, the increase in dose required when the grid is used outweighs the benefit of the small increase in SDNR. It is possible that greater benefit could be achieved by using a grid with a higher Tp, such as obtained using air-core technology.

Mesh:

Year:  2006        PMID: 16696488     DOI: 10.1118/1.2184445

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


  12 in total

1.  Effects of exposure equalization on image signal-to-noise ratios in digital mammography: a simulation study with an anthropomorphic breast phantom.

Authors:  Xinming Liu; Chao-Jen Lai; Gary J Whitman; William R Geiser; Youtao Shen; Ying Yi; Chris C Shaw
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Scatter radiation in digital tomosynthesis of the breast.

Authors:  Ioannis Sechopoulos; Sankararaman Suryanarayanan; Srinivasan Vedantham; Carl J D'Orsi; Andrew Karellas
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

3.  Tomosynthesis and contrast-enhanced digital mammography: recent advances in digital mammography.

Authors:  Felix Diekmann; Ulrich Bick
Journal:  Eur Radiol       Date:  2007-07-28       Impact factor: 5.315

4.  The effect of scatter and glare on image quality in contrast-enhanced breast imaging using an a-Si/CsI(TI) full-field flat panel detector.

Authors:  Ann-Katherine Carton; Raymond Acciavatti; Johnny Kuo; Andrew D A Maidment
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

5.  Comparison of slot scanning digital mammography system with full-field digital mammography system.

Authors:  Chao-Jen Lai; Chris C Shaw; William Geiser; Lingyun Chen; Elsa Arribas; Tanya Stephens; Paul L Davis; Geetha P Ayyar; Basak E Dogan; Victoria A Nguyen; Gary J Whitman; Wei T Yang
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

6.  Quality of images acquired with and without grid in digital mammography.

Authors:  Khaled H Al Khalifah; Ajit Brindhaban; Raed A Saeed
Journal:  Radiol Phys Technol       Date:  2013-11-05

7.  Evaluation of scatter effects on image quality for breast tomosynthesis.

Authors:  Gang Wu; James G Mainprize; John M Boone; Martin J Yaffe
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

8.  Investigation of optimum anti-scatter grid selection for digital radiography: physical imaging properties and detectability of low-contrast signals.

Authors:  Nobukazu Tanaka; Kentaro Naka; Aya Saito; Junji Morishita; Fukai Toyofuku; Masafumi Ohki; Yoshiharu Higashida
Journal:  Radiol Phys Technol       Date:  2012-08-08

9.  Verification of the accuracy of a hybrid breast imaging simulation framework for virtual clinical trial applications.

Authors:  Liesbeth Vancoillie; Nicholas Marshall; Lesley Cockmartin; Janne Vignero; Guozhi Zhang; Hilde Bosmans
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-22

10.  Learning-based CBCT correction using alternating random forest based on auto-context model.

Authors:  Yang Lei; Xiangyang Tang; Kristin Higgins; Jolinta Lin; Jiwoong Jeong; Tian Liu; Anees Dhabaan; Tonghe Wang; Xue Dong; Robert Press; Walter J Curran; Xiaofeng Yang
Journal:  Med Phys       Date:  2018-12-11       Impact factor: 4.071

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