Literature DB >> 12674245

Experimental investigation of the dose and image quality characteristics of a digital mammography imaging system.

Walter Huda1, Anthony M Sajewicz, Kent M Ogden, David R Dance.   

Abstract

Our purpose in this study was to investigate the image quality and absorbed dose characteristics of a digital mammography imaging system with a CsI scintillator, and to identify an optimal x-ray tube voltage for imaging simulated masses in an average size breast with 50% glandularity. Images were taken of an ACR accreditation phantom using a LORAD digital mammography system with a Mo target and a Mo filter. In one experiment, exposures were performed at 80 mAs with x-ray tube voltages varying between 24 and 34 kVp. In a second experiment, the x-ray tube voltage was kept constant at 28 kVp and the technique factor was varied between 5 and 500 mAs. The average glandular dose at each x-ray tube voltage was determined from measurements of entrance skin exposure and x-ray beam half-value layer. Image contrast was measured as the fractional digital signal intensity difference for the image of a 4 mm thick acrylic disk. Image noise was obtained from the standard deviation in a uniformly exposed region of interest expressed as a fraction of the background intensity. The measured digital signal intensity was proportional to the mAs and to the kVp5.8. Image contrast was independent of mAs, and dropped by 21% when the x-ray tube voltage increased from 24 to 34 kVp. At a constant x-ray tube voltage, image noise was shown to be approximately proportional to (mAs)(-05), which permits the image contrast to noise ratio (CNR) to be modified by changing the mAs. At 80 mAs, increasing the x-ray tube voltage from 24 to 34 kVp increased the CNR by 78%, and increased the average glandular dose by 285%. At a constant lesion CNR, the lowest average glandular dose value occurred at 27.3 kVp. Increasing or decreasing the x-ray tube voltage by 2.3 kVp from the optimum kVp increased the average glandular dose values by 5%. These results show that imaging simulated masses in a 4.2 cm compressed breast at approximately 27 kVp with a Mo/Mo target/filter results in the lowest average glandular dose.

Mesh:

Year:  2003        PMID: 12674245     DOI: 10.1118/1.1543572

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  7 in total

Review 1.  Digital mammography: what do we and what don't we know?

Authors:  Ulrich Bick; Felix Diekmann
Journal:  Eur Radiol       Date:  2007-02-14       Impact factor: 5.315

2.  Effect of dose reduction on the ability of digital mammography to detect simulated microcalcifications.

Authors:  Mari Yakabe; Shuji Sakai; Hidetake Yabuuchi; Yoshio Matsuo; Takeshi Kamitani; Taro Setoguchi; Mayumi Cho; Masafumi Masuda; Masayuki Sasaki
Journal:  J Digit Imaging       Date:  2009-05-05       Impact factor: 4.056

3.  Optimization of exposure parameters in full field digital mammography.

Authors:  Mark B Williams; Priya Raghunathan; Mitali J More; J Anthony Seibert; Alexander Kwan; Joseph Y Lo; Ehsan Samei; Nicole T Ranger; Laurie L Fajardo; Allen McGruder; Sandra M McGruder; Andrew D A Maidment; Martin J Yaffe; Aili Bloomquist; Gordon E Mawdsley
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

Review 4.  Comparison of standard mammography with digital mammography and digital infrared thermal imaging for breast cancer screening.

Authors:  Nermin Köşüş; Aydın Köşüş; Müzeyyen Duran; Serap Simavlı; Nilgün Turhan
Journal:  J Turk Ger Gynecol Assoc       Date:  2010-09-01

5.  Development and application of a suite of 4-D virtual breast phantoms for optimization and evaluation of breast imaging systems.

Authors:  Nooshin Kiarashi; Joseph Y Lo; Yuan Lin; Lynda C Ikejimba; Sujata V Ghate; Loren W Nolte; James T Dobbins; William P Segars; Ehsan Samei
Journal:  IEEE Trans Med Imaging       Date:  2014-03-20       Impact factor: 10.048

6.  Dose comparison between screen/film and full-field digital mammography.

Authors:  Gisella Gennaro; Cosimo di Maggio
Journal:  Eur Radiol       Date:  2006-05-30       Impact factor: 7.034

7.  Dose reduction in automatic optimization parameter of full field digital mammography: breast phantom study.

Authors:  Myung-Su Ko; Hak Hee Kim; Joo Hee Cha; Hee Jung Shin; Jeoung Hyun Kim; Min Jeong Kim
Journal:  J Breast Cancer       Date:  2013-03-31       Impact factor: 3.588

  7 in total

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