Quantitative Assessment of Image Quality in Mammography : Results from Phantom Studies in Ghana

Authors(3) :-Edem Sosu, Mary Boadu, Samuel Yeboah Mensah

Quantitative image quality assessment have been undertaken on eight (A - H) mammography systems in Ghana to review the overall condition of mammography equipment with respect to image quality in order to suggest improvements in the practice. Quantitative image analysis was performed with ImageJ software using the "Rose Model" by simulating three different thicknesses of breast. The results from calculated values of signal - to - noise ratio (SNR) shows that the quality of images from three systems for all three thickness were of good quality. All images from the test on the 20 mm phantom were all of good quality. Three systems recorded good images for the 45 mm phantom. Two systems recorded poor image quality for the 45 mm phantom. Images of the 70 mm phantom from five systems were of poor quality. Results shows that images of thicker simulated breast recorded poorest quality. It is recommended that adequate compression is achieved before patients are exposed.

Authors and Affiliations

Edem Sosu
Medical Radiation Physics Centre, Radiological and Medical Sciences Research Institute, Ghana Atomic Energy Commission, Kwabenya, Accra, Ghana
Mary Boadu
Medical Radiation Physics Centre, Radiological and Medical Sciences Research Institute, Ghana Atomic Energy Commission, Kwabenya, Accra, Ghana
Samuel Yeboah Mensah
Department of Physics, Faculty of Physical Sciences, School of Agriculture and Physical Scienes, University of Cape Coast, Cape Coast, Ghana

Mammography, Image Quality, Phantom, Signal, Noise, Ratio, Polymethylmethacrylate

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 73-77
Manuscript Number : IJSRST173718
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Edem Sosu, Mary Boadu, Samuel Yeboah Mensah, " Quantitative Assessment of Image Quality in Mammography : Results from Phantom Studies in Ghana, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 7, pp.73-77, September-October-2017. Available at doi : 10.32628/IJSRST173718
Journal URL : http://ijsrst.com/IJSRST173718

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