Literature DB >> 17213303

Optimal beam quality selection in digital mammography.

K C Young1, J M Oduko, H Bosmans, K Nijs, L Martinez.   

Abstract

An experimental method of determining the optimal beam quality for digital mammography systems was applied to two systems (Fuji Profect and GE Senographe 2000D). The mean glandular dose (MGD) and contrast-to-noise ratio (CNR) were measured using Perspex breast phantoms simulating breasts from 20 mm to 90 mm thick. For each thickness, four combinations of tube voltage and target/filter were tested. Optimal beam quality was defined as giving a target CNR for the lowest MGD and was similar for the two systems. For breasts with a thickness of 21 mm or 32 mm, a tube voltage of either 25 kV or 28 kV and a Mo/Mo target/filter combination was optimal. For breast thicknesses of 45 mm and greater, the combination that had the highest X-ray energy (34 kV Rh/Rh) was optimal. Optimization using the higher energy beam quality required greater detector dose to compensate for the lower contrast. Thus for a 75 mm thick breast the 34 kV Rh/Rh combination required about a 90% greater detector dose than 28 kV Mo/Mo to achieve the same CNR because of the 25% reduction in contrast. Nonetheless, the MGD was reduced by 32% by choosing the higher energy spectra and achieving the same CNR. Current automatic exposure control (AEC) designs that aim for a fixed detector dose are not optimal and greater use of higher energy spectra should be accompanied by higher detector doses at all breast thicknesses which are average or above. This may result in slightly higher doses, but better image quality for these breasts.

Mesh:

Year:  2006        PMID: 17213303     DOI: 10.1259/bjr/55334425

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  6 in total

1.  A technique optimization protocol and the potential for dose reduction in digital mammography.

Authors:  Nicole T Ranger; Joseph Y Lo; Ehsan Samei
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Towards standardization of x-ray beam filters in digital mammography and digital breast tomosynthesis: Monte Carlo simulations and analytical modelling.

Authors:  Suman Shrestha; Srinivasan Vedantham; Andrew Karellas
Journal:  Phys Med Biol       Date:  2017-01-11       Impact factor: 3.609

3.  Image Quality and Radiation Dose for Fibrofatty Breast using Target/filter Combinations in Two Digital Mammography Systems.

Authors:  Khaled Alkhalifah; Akram Asbeutah; Ajit Brindhaban
Journal:  J Clin Imaging Sci       Date:  2020-09-07

4.  Characterization of the imaging settings in screening mammography using a tracking and reporting system: A multi-center and multi-vendor analysis.

Authors:  Bruno Barufaldi; Samantha P Zuckerman; Regina B Medeiros; Andrew D Maidment; Homero Schiabel
Journal:  Phys Med       Date:  2020-03-03       Impact factor: 2.685

Review 5.  Review of methods for intraoperative margin detection for breast conserving surgery.

Authors:  Benjamin W Maloney; David M McClatchy; Brian W Pogue; Keith D Paulsen; Wendy A Wells; Richard J Barth
Journal:  J Biomed Opt       Date:  2018-10       Impact factor: 3.170

6.  Indications and methods of intraoperative specimen radiography in breast-conserving surgery.

Authors:  Ji Young Kim; Yong Sik Jung; Se Hwan Han; Ji Hyun Sung; Min Hee Hur
Journal:  Transl Cancer Res       Date:  2020-11       Impact factor: 1.241

  6 in total

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