Tissue Cancellation in Dual Energy Mammography Using a Calibration Phantom Customized for Direct Mapping

IEEE Trans Med Imaging. 2014 Jan;33(1):74-84. doi: 10.1109/TMI.2013.2280901. Epub 2013 Sep 10.

Abstract

An easily implementable tissue cancellation method for dual energy mammography is proposed to reduce anatomical noise and enhance lesion visibility. For dual energy calibration, the images of an imaging object are directly mapped onto the images of a customized calibration phantom. Each pixel pair of the low and high energy images of the imaging object was compared to pixel pairs of the low and high energy images of the calibration phantom. The correspondence was measured by absolute difference between the pixel values of imaged object and those of the calibration phantom. Then the closest pixel pair of the calibration phantom images is marked and selected. After the calibration using direct mapping, the regions with lesion yielded different thickness from the background tissues. Taking advantage of the different thickness, the visibility of cancerous lesions was enhanced with increased contrast-to-noise ratio, depending on the size of lesion and breast thickness. However, some tissues near the edge of imaged object still remained after tissue cancellation. These remaining residuals seem to occur due to the heel effect, scattering, nonparallel X-ray beam geometry and Poisson distribution of photons. To improve its performance further, scattering and the heel effect should be compensated.

MeSH terms

  • Breast Neoplasms / diagnostic imaging*
  • Calibration
  • Equipment Design
  • Equipment Failure Analysis
  • Female
  • Humans
  • Image Enhancement / instrumentation*
  • Image Enhancement / methods
  • Image Enhancement / standards
  • Mammography / instrumentation*
  • Mammography / standards
  • Phantoms, Imaging / standards*
  • Radiography, Dual-Energy Scanned Projection / instrumentation*
  • Radiography, Dual-Energy Scanned Projection / standards
  • Reproducibility of Results
  • Sensitivity and Specificity