Literature DB >> 17153399

Comparison of different commercial FFDM units by means of physical characterization and contrast-detail analysis.

Stefano Rivetti1, Nico Lanconelli, Renato Campanini, Marco Bertolini, Gianni Borasi, Andrea Nitrosi, Claudio Danielli, Lidia Angelini, Stefania Maggi.   

Abstract

The purpose of this study was to perform a complete evaluation of three pieces of clinical digital mammography equipment. Image quality was assessed by performing physical characterization and contrast-detail (CD) analysis. We considered three different FFDM systems: a computed radiography unit (Fuji "FCR 5000 MA") and two flat-panel units, the indirect conversion a-Si based GE "Senographe 2000D" and the direct conversion a-Si based IMS "Giotto Image MD." The physical characterization was estimated by measuring the MTF, NNPS, and DQE of the detectors with no antiscatter grid and over the clinical range of exposures. The CD analysis was performed using a CDMAM 3.4 phantom and custom software designed for automatic computation of the contrast-detail curves. The physical characterization of the three digital systems confirms the excellent MTF properties of the direct conversion flat-panel detector (FPD). We performed a relative standard deviation (RSD) analysis, for investigating the different components of the noise presented by the three systems. It turned out that the two FPDs show a significant additive component, whereas for the CR system the statistical noise is dominant. The multiplicative factor is a minor constituent for all the systems. The two FPDs demonstrate better DQE, with respect to the CR system, for exposures higher than 70 microGy. The CD analysis indicated that the three systems are not statistically different for detail objects with a diameter greater than 0.3 mm. However, the IMS system showed a statistically significant different response for details smaller than 0.3 mm. In this case, the poor response of the a-Se detector could be attributed to its high-frequency noise characteristics, since its MTF, NEQ, and DQE are not inferior to those of the other systems. The CD results were independent of exposure level, within the investigated clinical range. We observed slight variations in the CD results, due to the changes in the visualization parameters (window/level and magnification factor). This suggests that radiologists would benefit from viewing images using varied window/level and magnification.

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Year:  2006        PMID: 17153399     DOI: 10.1118/1.2358195

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


  12 in total

1.  Preliminary investigation of the clinical usefulness of super-high-resolution LCDs with 9 and 15 mega-sub-pixels: observation studies with phantoms.

Authors:  Aya Nishimura; Katsuhiro Ichikawa; Yuko Mochiya; Ayumi Morishita; Hiroko Kawashima; Tomoyuki Yamamoto; Mikio Hasegawa; Naofumi Kimura; Shigeru Sanada
Journal:  Radiol Phys Technol       Date:  2009-12-25

2.  Mammographic density measurements are not affected by mammography system.

Authors:  Christine N Damases; Patrick C Brennan; Mark F McEntee
Journal:  J Med Imaging (Bellingham)       Date:  2015-03-04

3.  Single x-ray absorptiometry method for the quantitative mammographic measure of fibroglandular tissue volume.

Authors:  Serghei Malkov; Jeff Wang; Karla Kerlikowske; Steven R Cummings; John A Shepherd
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

4.  Effective DQE (eDQE) and speed of digital radiographic systems: an experimental methodology.

Authors:  Ehsan Samei; Nicole T Ranger; Alistair MacKenzie; Ian D Honey; James T Dobbins; Carl E Ravin
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

5.  Investigation of noise sources for digital radiography systems.

Authors:  Lutfi Ergun; Turan Olgar
Journal:  Radiol Phys Technol       Date:  2016-10-01

6.  Objective assessment of task performance: a comparison of two FFDM detectors using an anthropomorphic breast phantom.

Authors:  Andrey Makeev; Lynda C Ikejimba; Jesse Salad; Stephen J Glick
Journal:  J Med Imaging (Bellingham)       Date:  2019-10-17

7.  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

8.  Contrast detail phantom comparison on a commercially available unit. Digital breast tomosynthesis (DBT) versus full-field digital mammography (FFDM).

Authors:  Marco Bertolini; Andrea Nitrosi; Giovanni Borasi; Andrea Botti; Davide Tassoni; Roberto Sghedoni; Giulio Zuccoli
Journal:  J Digit Imaging       Date:  2011-02       Impact factor: 4.056

9.  Technical and clinical breast cancer screening performance indicators for computed radiography versus direct digital radiography.

Authors:  Hilde Bosmans; An De Hauwere; Kim Lemmens; Federica Zanca; Hubert Thierens; Chantal Van Ongeval; Koen Van Herck; Andre Van Steen; Patrick Martens; Luc Bleyen; Gretel Vande Putte; Eliane Kellen; Griet Mortier; Erik Van Limbergen
Journal:  Eur Radiol       Date:  2013-05-21       Impact factor: 5.315

10.  Detector or system? Extending the concept of detective quantum efficiency to characterize the performance of digital radiographic imaging systems.

Authors:  Ehsan Samei; Nicole T Ranger; Alistair MacKenzie; Ian D Honey; James T Dobbins; Carl E Ravin
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

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