title: Quantification of breast density using dual-energy mammography with liquid phantom calibration.
abstract: Breast density is a widely recognized potential risk factor for breast cancer. However, accurate quantification of breast density is a challenging task in mammography. The current use of plastic breast-equivalent phantoms for calibration provides limited accuracy in dual-energy mammography due to the chemical composition of the phantom. We implemented a breast-equivalent liquid phantom for dual-energy calibration in order to improve the accuracy of breast density measurement. To design these phantoms, three liquid compounds were chosen: water, isopropyl alcohol, and glycerol. Chemical compositions of glandular and adipose tissues, obtained from NIST database, were used as reference materials. Dual-energy signal of the liquid phantom at different breast densities (0% to 100%) and thicknesses (1 to 8 cm) were simulated. Glandular and adipose tissue thicknesses were estimated from a higher order polynomial of the signals. Our results indicated that the linear attenuation coefficients of the breast-equivalent liquid phantoms match those of the target material. Comparison between measured and known breast density data shows a linear correlation with a slope close to 1 and a non-zero intercept of 7%, while plastic phantoms showed a slope of 0.6 and a non-zero intercept of 8%. Breast density results derived from the liquid calibration phantoms showed higher accuracy than those derived from the plastic phantoms for different breast thicknesses and various tube voltages. We performed experimental phantom studies using liquid phantoms and then compared the computed breast density with those obtained using a bovine tissue model. The experimental data and the known values were in good correlation with a slope close to 1 (∼1.1). In conclusion, our results indicate that liquid phantoms are a reliable alternative for calibration in dual-energy mammography and better reproduce the chemical properties of the target material.
authors: Department of Radiological Sciences, University of California Irvine, CA 92697, USA.
authors: Alfonso R
authors: AR
authors: Lam
authors: Huanjun
authors: H
authors: Ding
authors: Sabee
authors: S
authors: Molloi
mesh_terms: D000273:Adipose Tissue / Q000166:cytology / Q000000981:diagnostic imaging; D000818:Animals; D001940:Breast / Q000166:cytology* / Q000378:metabolism; D002138:Calibration; D002417:Cattle; D008327:Mammography / Q000295:instrumentation*; D019047:Phantoms, Imaging