Literature DB >> 26158077

On image quality metrics and the usefulness of grids in digital mammography.

Han Chen1, Mats Danielsson1, Cheng Xu1, Björn Cederström1.   

Abstract

Antiscatter grids are used in digital mammography to reduce the scattered radiation from the breast and improve image contrast. They are, however, imperfect and lead to partial absorption of primary radiation, as well as failing to absorb all scattered radiation. Nevertheless, the general consensus has been that antiscatter grids improve image quality for the majority of breast types and sizes. There is, however, inconsistency in the literature, and recent results show that a substantial image quality improvement can be achieved even for thick breasts if the grid is disposed of. The purpose of this study was to investigate if differences in the considered imaging task and experimental setup could explain the different outcomes. We estimated the dose reduction that can be achieved if the grid were to be removed as a function of breast thickness with varying geometries and experimental conditions. Image quality was quantified by the signal-difference-to-noise ratio (SDNR) measured using an aluminum (Al) filter on blocks of poly(methyl methacrylate) (PMMA), and images were acquired with and without grid at a constant exposure. We also used a theoretical model validated with Monte Carlo simulations. Both theoretically and experimentally, the main finding was that when a large [Formula: see text] Al filter was used, the SDNR values for the gridless images were overestimated up to 25% compared to the values for the small [Formula: see text] filter, and gridless imaging was superior for any PMMA thickness. For the small Al filter, gridless imaging was only superior for PMMAs thinner than 4 cm. This discrepancy can be explained by a different sensitivity to and sampling of the angular scatter spread function, depending on the size of the contrast object. The experimental differences were eliminated either by using a smaller region of interest close to the edge of the large filter or by applying a technique of scatter correction by subtracting the estimated scatter image. These results explain the different conclusions reported in the literature and show the importance of the selection of measurement methods. Since the interesting structures in mammography are below the 1-cm scale, we advocate the use of smaller contrast objects for assessment of antiscatter grid performance.

Entities:  

Keywords:  grid; mammography; phantom; scattered radiation; signal-difference-to-noise ratio

Year:  2015        PMID: 26158077      PMCID: PMC4478855          DOI: 10.1117/1.JMI.2.1.013501

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  23 in total

1.  Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol.

Authors:  D R Dance; C L Skinner; K C Young; J R Beckett; C J Kotre
Journal:  Phys Med Biol       Date:  2000-11       Impact factor: 3.609

Review 2.  Tradeoffs between image quality and dose.

Authors:  J Anthony Seibert
Journal:  Pediatr Radiol       Date:  2004-10

3.  Grids or air gaps for scatter reduction in digital radiography: a model calculation.

Authors:  U Neitzel
Journal:  Med Phys       Date:  1992 Mar-Apr       Impact factor: 4.071

4.  Scatter rejection in multislit digital mammography.

Authors:  Magnus Aslund; Björn Cederström; Mats Lundqvist; Mats Danielsson
Journal:  Med Phys       Date:  2006-04       Impact factor: 4.071

5.  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

6.  Scatter correction in digital mammography based on image deconvolution.

Authors:  J L Ducote; S Molloi
Journal:  Phys Med Biol       Date:  2010-02-04       Impact factor: 3.609

7.  Scanning slit mammography.

Authors:  G T Barnes; X Wu; A J Wagner
Journal:  Med Prog Technol       Date:  1993

8.  Effect of reduced scatter on radiographic information content and patient exposure: a quantitative demonstration.

Authors:  R F Wagner; G T Barnes; B S Askins
Journal:  Med Phys       Date:  1980 Jan-Feb       Impact factor: 4.071

9.  The intensity of scattered radiation in mammography.

Authors:  G T Barnes; I A Brezovich
Journal:  Radiology       Date:  1978-01       Impact factor: 11.105

10.  Grid and slot scan scatter reduction in mammography: comparison by using Monte Carlo techniques.

Authors:  John M Boone; J Anthony Seibert; Cha-Mei Tang; Steve M Lane
Journal:  Radiology       Date:  2002-02       Impact factor: 11.105

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  1 in total

1.  Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images.

Authors:  Michael Osadebey; Marius Pedersen; Douglas Arnold; Katrina Wendel-Mitoraj
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-13
  1 in total

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