Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography
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 com...
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my.um.eprints.41352019-08-28T03:59:58Z http://eprints.um.edu.my/4135/ Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography Aminah, M. Ng, K.H. Abdullah, Basri Johan Jeet Jamal, N. R Medicine 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 6 cm-thick simulated breast phantoms with an aluminium sheet of 0.1 mm 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 26 kVp is optimal for 2 cm-thick breast. W/Rh combination with tube voltage 27 and 28 kVp are optimal for 4 and 6 cm-thick breast, respectively. For both 30/70 and 70/30 breast composition, W/Rh combination is optimal with tube voltage 25, 26 and 27 kVp, 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. Springer 2010 Article PeerReviewed text en http://eprints.um.edu.my/4135/1/Optimal_beam_quality_selection_based_on_contrast-to-noise_ratio_and_mean_glandular_dose_in_digital_mammography.pdf text en http://eprints.um.edu.my/4135/2/Optimal_beam_quality_selection_based_on_contrast-to-noise_ratio.pdf Aminah, M. and Ng, K.H. and Abdullah, Basri Johan Jeet and Jamal, N. (2010) Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography. Australasian Physical and Engineering Sciences in Medicine, 33 (4). pp. 329-334. ISSN 0158-9938 https://doi.org/10.1007/s13246-010-0035-3 doi:10.1007/s13246-010-0035-3 |
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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 6 cm-thick simulated breast phantoms with an aluminium sheet of 0.1 mm 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 26 kVp is optimal for 2 cm-thick breast. W/Rh combination with tube voltage 27 and 28 kVp are optimal for 4 and 6 cm-thick breast, respectively. For both 30/70 and 70/30 breast composition, W/Rh combination is optimal with tube voltage 25, 26 and 27 kVp, 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. |
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Article |
author |
Aminah, M. Ng, K.H. Abdullah, Basri Johan Jeet Jamal, N. |
author_facet |
Aminah, M. Ng, K.H. Abdullah, Basri Johan Jeet Jamal, N. |
author_sort |
Aminah, M. |
title |
Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography |
title_short |
Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography |
title_full |
Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography |
title_fullStr |
Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography |
title_full_unstemmed |
Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography |
title_sort |
optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography |
publisher |
Springer |
publishDate |
2010 |
url |
http://eprints.um.edu.my/4135/1/Optimal_beam_quality_selection_based_on_contrast-to-noise_ratio_and_mean_glandular_dose_in_digital_mammography.pdf http://eprints.um.edu.my/4135/2/Optimal_beam_quality_selection_based_on_contrast-to-noise_ratio.pdf http://eprints.um.edu.my/4135/ https://doi.org/10.1007/s13246-010-0035-3 |
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