The impact of calibration phantom errors on dual-energy digital mammography

Xuanqin Mou, Xi Chen, Lijun Sun, Hengyong Yu, Zhen Ji, Lei Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


Microcalcification is one of the earliest and main indicators of breast cancer. Because dual-energy digital mammography could suppress the contrast between the adipose and glandular tissues of the breast, it is considered a promising technique that will improve the detection of microcalcification. In dual-energy digital mammography, the imaged object is a human breast, while in calibration measurements only the phantoms of breast tissue equivalent materials are available. Consequently, the differences between phantoms and breast tissues will lead to calibration phantom errors. Based on the dual-energy imaging model, formulae of calibration phantom errors are derived in this paper. Then, this type of error is quantitatively analyzed using publicly available data and compared with other types of error. The results demonstrate that the calibration phantom error is large and dominant in dual-energy mammography, seriously decreasing calculation precision. Further investigations on the physical meaning of calibration phantom error reveal that the imaged objects with the same glandular ratio have identical calibration phantom error. Finally, an error correction method is proposed based on our findings.
Original languageEnglish
Pages (from-to)6321-6336
Number of pages16
JournalPhysics in Medicine and Biology
Issue number22
Publication statusPublished - 20 Nov 2008

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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