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Aminah, M. and Ng, K. H. and Abdullah, B. J. J. and Jamal, N. (2010) Optimal beam quality selection based on contrast-to-noise ratio and mean glandular dose in digital mammography. Australasian Physical & Engineering Sciences in Medicine, 33 (4). pp. 329-334. ISSN 0158-9938

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    Abstract

    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.

    Item Type: Article
    Additional Information: ISI Document Delivery No.: 735QM Times Cited: 0 Cited Reference Count: 11 Cited References: Berns EA, 2003, MED PHYS, V30, P334, DOI 10.1118/1.1544674 Bushberg J. T., 2002, ESSENTIAL PHYS MED I CHAWLA AS, 2007, MED PHYS, P3385 Dance DR, 2000, BRIT J RADIOL, V73, P1056 Dance DR, 2000, PHYS MED BIOL, V45, P3225, DOI 10.1088/0031-9155/45/11/308 Huda W, 2003, MED PHYS, V30, P442, DOI 10.1118/1.1543572 Jamal N, 2003, BRIT J RADIOL, V76, P238, DOI 10.1259/bjr/66428508 JAMAL N, 2010, EMERGING TECHNOLOGIE, pCH6 Williams MB, 2008, MED PHYS, V35, P2414, DOI 10.1118/1.2912177 Young KC, 2006, BRIT J RADIOL, V79, P981, DOI 10.1259/bjr/55334425 *EC, 2003, ADD DIG MAMM EUR GUI Aminah, M. Ng, K. H. Abdullah, B. J. J. Jamal, N. Research Grant Management Unit, Institute of Management and Research Monitoring, University of MalayaPS001/2008B This work was funded by the Research Grant Management Unit, Institute of Management and Research Monitoring, University of Malaya (research grant PS001/2008B). We are grateful to Noor Fitriyah Abdul Majid and Zaharah Ahmad, radiographers from Department of Biomedical Imaging, University of Malaya Medical Centre for their assistance in this study. We would like to thank Medical Physics Unit, University of Malaya Medical Centre and Malaysian Nuclear Agency for providing the dosimeter and phantoms used in this project. Springer Dordrecht
    Uncontrolled Keywords: Digital mammography Optimization Mean glandular dose Contrast-to-noise ratio optimization system
    Subjects: Medicine and Dentistry
    Divisions: UNSPECIFIED
    Depositing User: Mr Ahmad Azwan Azman
    Date Deposited: 18 Oct 2012 02:36
    Last Modified: 18 Oct 2012 02:36
    URI: http://opendepot.org/id/eprint/1448

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