Accuracy validation of incident photon fluence on detective quantum efficiency in mammography

Tomonobu Haba, Shuji Koyama, Natsuki Otani

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

X-ray image evaluation is commonly performed by determining the detective quantum efficiency (DQE). DQE is calculated with a presampled modulation transfer function (MTF), incident photon fluence, and digital noise power spectrum (NPS). Accurate evaluation of MTF, incident photon fluence, and NPS is important for precise DQE determination. In this study, we focused on the accuracy of the incident photon fluence in mammography. The incident photon fluence is calculated using the squared signal-to-noise ratio (SNR in 2 ) value as specified in the International Electrotechnical Commission (IEC) 62220-1-2 report. However, the reported SNR in 2 values were determined using a computer program, and the reported values may differ from those calculated from an X-ray spectrum that is measured with actual mammography equipment. Therefore, we evaluated the error range of reported SNR in 2 values in mammography to assess the accuracy of the incident photon fluence. First, X-ray spectra from various mammography systems were measured with a CdTe spectrometer. Six mammographic X-ray units were used in this study. Second, the SNR in 2 values were calculated from the measured X-ray spectra. The calculated values were compared to the reported values. The results show that the percentage differences between the calculated and reported SNR in 2 values were within − 4.1% of each other. The results obtained in this study indicate that the SNR in 2 values provided in the IEC report are a robust and convenient tool for calculating the incident photon fluence for DQE evaluation in mammography.

Original languageEnglish
Pages (from-to)847-852
Number of pages6
JournalAustralasian Physical and Engineering Sciences in Medicine
Volume41
Issue number4
DOIs
Publication statusPublished - 01-12-2018

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Physics and Astronomy(all)

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