Journal of Medical Systems

, 38:21

Quantitative Analysis for Breast Density Estimation in Low Dose Chest CT Scans

Authors

  • Woo Kyung Moon
    • Department of RadiologySeoul National University Hospital
  • Chung-Ming Lo
    • Department of Computer Science and Information EngineeringNational Taiwan University
  • Jin Mo Goo
    • Department of RadiologySeoul National University Hospital
  • Min Sun Bae
    • Department of RadiologySeoul National University Hospital
  • Jung Min Chang
    • Department of RadiologySeoul National University Hospital
  • Chiun-Sheng Huang
    • Department of SurgeryNational Taiwan University Hospital and National Taiwan University College of Medicine
  • Jeon-Hor Chen
    • Center for Functional Onco-Imaging and Department of Radiological ScienceUniversity of California Irvine
    • Department of RadiologyE-Da Hospital and I-Shou University
  • Violeta Ivanova
    • Department of Computer Science and Information EngineeringNational Taiwan University
    • Department of Computer Science and Information EngineeringNational Taiwan University
    • Graduate Institute of Biomedical Electronics and BioinformaticsNational Taiwan University
Research Article

DOI: 10.1007/s10916-014-0021-5

Cite this article as:
Moon, W.K., Lo, C., Goo, J.M. et al. J Med Syst (2014) 38: 21. doi:10.1007/s10916-014-0021-5

Abstract

A computational method was developed for the measurement of breast density using chest computed tomography (CT) images and the correlation between that and mammographic density. Sixty-nine asymptomatic Asian women (138 breasts) were studied. With the marked lung area and pectoralis muscle line in a template slice, demons algorithm was applied to the consecutive CT slices for automatically generating the defined breast area. The breast area was then analyzed using fuzzy c-mean clustering to separate fibroglandular tissue from fat tissues. The fibroglandular clusters obtained from all CT slices were summed then divided by the summation of the total breast area to calculate the percent density for CT. The results were compared with the density estimated from mammographic images. For CT breast density, the coefficient of variations of intraoperator and interoperator measurement were 3.00 % (0.59 %–8.52 %) and 3.09 % (0.20 %–6.98 %), respectively. Breast density measured from CT (22 ± 0.6 %) was lower than that of mammography (34 ± 1.9 %) with Pearson correlation coefficient of r = 0.88. The results suggested that breast density measured from chest CT images correlated well with that from mammography. Reproducible 3D information on breast density can be obtained with the proposed CT-based quantification methods.

Keywords

Breast densityCTMammographyFuzzy c-meanImage registration

Copyright information

© Springer Science+Business Media New York 2014