caa a22 4500 445304278 CHVBK 20180317142607.0 cr unu---uuuuu 170323e20101201xx s 000 0 eng 10.1007/s13246-010-0035-3 doi (NATIONALLICENCE)springer-10.1007/s13246-010-0035-3 Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography [Elektronische Daten] [M. Aminah, K. Ng, B. Abdullah, N. Jamal] The performance of a digital mammography system (Siemens Mammomat Novation) using different target/filter combinations and tube voltage has been assessed. The objective of this study is to optimize beam quality selection based on contrast-to-noise ratio (CNR) and mean glandular dose (MGD). Three composition of breast were studied with composition of glandular/adipose of 30/70, 50/50, and 70/30. CNR was measured using 2, 4 and 6cm-thick simulated breast phantoms with an aluminium sheet of 0.1mm thickness placed on top of the phantom. Three target/filter combinations, namely molybdenum/molybdenum (Mo/Mo), molybdenum/rhodium (Mo/Rh) and tungsten/rhodium (W/Rh) with various tube voltage and mAs were tested. MGD was measured for each exposure. For 50/50 breast composition, Mo/Rh combination with tube voltage 26kVp is optimal for 2cm-thick breast. W/Rh combination with tube voltage 27 and 28 kVp are optimal for 4 and 6cm-thick breast, respectively. For both 30/70 and 70/30 breast composition, W/Rh combination is optimal with tube voltage 25, 26 and 27kVp, respectively. From our study it was shown that there are potential of dose reduction up to 11% for a set CNR of 3.0 by using beam quality other than that are determined by AEC selection. Under the constraint of lowest MGD, for a particular breast composition, calcification detection is optimized by using a softer X-ray beam for thin breast and harder X-ray beam for thick breast. These experimental results also indicate that for breast with high fibroglandular tissues (70/30), the use of higher beam quality does not always increase calcification detection due to additional structured noise caused by the fibroglandular tissues itself. Australasian College of Physical Scientists and Engineers in Medicine, 2010 Digital mammography nationallicence Optimization nationallicence Mean glandular dose nationallicence Contrast-to-noise ratio nationallicence Aminah M. Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia aut Ng K. Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia aut Abdullah B. Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia aut Jamal N. Medical Technology Division, Malaysian Nuclear Agency, Kajang, Malaysia aut Australasian Physical & Engineering Sciences in Medicine Springer Netherlands 33/4(2010-12-01), 329-334 0158-9938 33:4<329 2010 33 13246 https://doi.org/10.1007/s13246-010-0035-3 text/html Onlinezugriff via DOI 1 brief-communication jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s13246-010-0035-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Aminah M. Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia aut NATIONALLICENCE 700 1- Ng K. Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia aut NATIONALLICENCE 700 1- Abdullah B. Department of Biomedical Imaging, University of Malaya, Kuala Lumpur, Malaysia aut NATIONALLICENCE 700 1- Jamal N. Medical Technology Division, Malaysian Nuclear Agency, Kajang, Malaysia aut NATIONALLICENCE 773 0- Australasian Physical & Engineering Sciences in Medicine Springer Netherlands 33/4(2010-12-01), 329-334 0158-9938 33:4<329 2010 33 13246 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer