title: Objective assessment of phantom image quality in mammography: a feasibility study.
abstract: The need for test objects in mammography quality control programmes to provide an objective measure of image quality pertinent to clinical problems is well documented. However, interobserver variations may be greater than the fluctuations in image quality that the quality control programme is seeking to detect. We have developed a computer algorithm to score a number of features in the Leeds TOR(MAX) mammography phantom. Threshold scoring techniques have been applied in the first instance; scoring schemes which utilize measures such as signal-to-noise ratio and modulation have also been formulated. This fully automatic algorithm has been applied to a set of 10 films which have been digitized at 25 microns resolution using a Joyce-Loebl scanning microdensitometer. The films were chosen retrospectively from quality control test films to demonstrate: (a) a range of optimized imaging systems, and (b) variation from the optimum. The performance of the algorithm has been compared with that of five experienced observers, and has been shown to be as consistent as individual observers, but more consistent than a pool of observers. Problems have been encountered with the detection of small details, indicating that a more sophisticated localization technique is desirable. The computer performs more successfully with the scoring scheme which utilizes the full imaging information available, rather than with the threshold-determined one. However, both the observers and the computer algorithm failed to identify the non-optimum films, suggesting that the sensitivity of the TOR(MAX) test object may not be adequate for modern mammography imaging systems.
authors.affiliation: Joint Department of Physics, Royal Marsden NHS Trust, London, UK. a.d.smith@umds.ac.uk
authors.forename: A D
authors.initials: AD
authors.lastname: Castellano Smith
authors.forename: I A
authors.initials: IA
authors.lastname: Castellano Smith
authors.forename: D R
authors.initials: DR
authors.lastname: Dance
mesh_terms: D000465:Algorithms; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008327:Mammography / Q000295:instrumentation*; D015588:Observer Variation; D019047:Phantoms, Imaging; D011786:Quality Control; D012189:Retrospective Studies; D014962:X-Ray Film