| Zugriffsnummer | 49376 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | A nonparametric measure of noise in x-ray diagnostic images - mammography |
| Autor(in); Institution |
Anton, Mathias; 6.2, Dosimetrie für Strahlentherapie und Röntgendiagnostik, PTB-Braunschweig
Mäder, Ulf; Institute of Medical Physics and Radiation Protection, University of Applied Sciences, Giessen, GERMANY
Schopphoven, Stephan; Reference Centre for Mammography Screening Southwest Germany, Giessen, GERMANY
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| Quelle/Jahr | Physics in Medicine and Biology: 68 (2023), 4, 1 - 16 |
| Artikelnummer | 045003 |
| ISSN | 0031-9155 (print) ; 1361-6560 (online) |
| DOI | |
| URL | |
| Verlag | Bristol: IOP Publishing |
| Freie Schlagworte | quality assurance ; noise measure ; nonparametric statistics ; non-maximum suppression images ; mammography |
| Zusammenfassung | Objective: In x-ray diagnostics, modern image reconstruction or image processing methods may render established methods of image quality assessment inadequate. Task specific quality assessment by using model observers has the disadvantage of being very labour-intensive. Therefore, it appears highly desirable to develop novel image quality parameters that neither rely on the linearity and the shift-invariance of the imaging system nor require the acquisition of hundreds of images as is necessary for the application of model observers, and which can be derived directly from diagnostic images. Approach: A new measure for the noise based on non-maximum-suppression images is defined and its properties are explored using simulated images before it is applied to an exposure series of mammograms of a homogeneous phantom and a 3D-printed breast phantom to demonstrate its usefulness under realistic conditions. Main results: The new noise parameter can not only be derived from images with a homogeneous background, but it can be extracted directly from images containing anatomic structures and is proportional to the standard deviation of the noise. At present, the applicability is restricted to mammography, which satisfies the assumption of short covariance length of the noise. Significance: The new measure of the noise is but a first step of the development of a set of parameters that are required to quantify image quality directly from diagnostic images without relying on the assumption of a linear, shift-invariant system, e.g. by providing measures of sharpness, contrast and structural complexity, in addition to the noise measure. For mammography, a convenient method is now available to quantify noise in processed diagnostic images. |
| Kostenfreier Zugang | Open Access Hybrid |
| Rechteinformation | CC BY 4.0 ; Creative Commons Attribution 4.0 License |