Optical density analysis of standard phantom for mammography quality control

  • Authors

    • Mi. Hwa Lee
    • Hong Ryang Jung
    • Cheong Hwan Lim
    • Mi Soon Park
    • Ki. Jeong Kim
    • Sung Hun Jeung
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.13846
  • Optical Densit, Mammography, Standard Phantom, Quality Control, Dummy Lesion

  • Abstract

    Background/Objectives: The objective of this study was to analyze optic density of dummy lesions in breast phantom by mammography and understand whether the objectivity of visual inspections on dummy lesions upon appropriate and inappropriate decisions was correct quantitatively.

    Methods/Statistical analysis: Study subjects were 165 phantom images in 74 hospitals nationwide that passed the test of special medical equipment by Korean Institute for Accreditation of Medical Image from May 2016 to April 2017. Min (A), Max (B), Mean (C), and StdDev (D) were measured using color level information. Fibers, specks, and masses divided dummy lesions determined as appropriate or inappropriate in 165 images. For each divided dummy lesion, Min, Max, Mean concentration, and concentration difference summarized it.

    Findings: There was a significant difference in Max concentration (B) between dummy lesions of 9 (specks 3) and 10 (specks 4). In dummy lesion 12 (mass 1), there was no significant difference by each step, although the deviation between black and white was high since the scope of lesion was big. Upon analysis of optic density divided by appropriate and inappropriate decisions, there were significant differences in concentration difference (D) for fibers, Min (A) and Max (B) concentrations as well as concentration difference (D) for specks, and Max (B) and Mean (C) concentrations with concentration difference (D) for masses.

    Improvements/Applications: Visual inspections appeared to have difficulty in analyzing lesions due to the ambiguity of quantitative differences. Further developments of quantitative programs are needed to replace visual inspection for breast phantom lesions in mammography.

     

     

  • References

    1. [1] J. S. Lee, "Image Quality and Dose evaluation using Monte Carlo Simulation in Digital Mammography System", Catholic University of Pusan, 2014.

      [2] Quality Mammography Standards. Final Rule, Department of Health and Human Services, Food and Drug Administration, 21 CFR 16 and 900, 1997.

      [3] J. S. Lee, "Image Quality and Dose evaluation using Monte Carlo Simulation in Digital Mammography System", Catholic University of Pusan, 2014.

      [4] K. J. Park, "Study of Image Quality Control and Evaluation of the Glandular Exposure Dose for the Low Energy X-ray using the Phantom of Breast Tissue Equivalent", Graduate School, Kyonggi University, 2004.

      [5] Andrew P. Smith, Ph.D. “Fundamentals of Digital Mammography: Physics, Technology and Practical Considerationsâ€, Radiology management, published in United States. Vol.25, pp.18-24, 26-31, 2003.

      [6] Douglas E, Kurvilla Verhse, "Digital mammography images simulation using Monte Carlo", Med. Phys, Vol.27, pp.568-579, 2000.

      [7] Quality Mammography Standards. Final Rule, Department of Health and Human Services, Food and Drug Administration, 21 CFR 16 and 900, 1997.

      [8] Handrick RE, Bassett L, Botsco MA, et al. "Mammography Quality control Manual". Reston (VA) American College of Radiology, 1999.

      [9] R. EDWARD HENDRICK, "Requirements for Quality Breast Cancer Detection", CANCER, Vol. 64, No. 12, pp.2710-2717, 1990. DOI: 10.1002/1097-0142(19891215)64:2+3.0.CO;2-1.

      [10] www.cirsinc.com, Model 015, 2013.

      [11] www.flukebiomedical.com/rms. Manual No. 18-220-1 Rev.2, 2005.

      [12] R.A Hunt, D. R. Dance et al, “Monte Carlo simulation of a mammographic test phantomâ€, Radiation Protection Dosimetry, Vol.114, pp.432-435, 2005.

      [13] J. S. Lee, "Current status of quality management of medical imagimg in Korea", J Korean Med Assoc, Vol.58, No.12, pp.1119-1124, 2015.

      [14] Korean Institute for Accreditation of Medical Imaging. 10 Year history of Korean Institute for Accreditation of Medical Imaging. Seoul: Korean Institute for Accreditation of Medical Imaging, 2015.

      [15] Rule for Installation and Operation of Specialized Medical Equipment. Ministry of Health and Welfare L. No. 283, Jan 1, 2015.

      [16] N. Otsu, “A threshold selection method from gray-level histograms,†IEEE Trans. Syst., Man, Cybern., vol. SMC-9, pp. 62-66, 1979.

      [17] Niblack W. "An introduction to Digital Image Processing" Prentice-Hall, 1986.

      [18] Larissa Cristina dos Santos Romualdo, Marcelo Andrade da Costa Vieira, Homero Schiabel, "Mammography Images Restoration by Quantum Noise Reduction and Inverse MTF Filtering", Sibgrapi, pp.180-185, 2009.

  • Downloads

  • How to Cite

    Hwa Lee, M., Ryang Jung, H., Hwan Lim, C., Soon Park, M., Jeong Kim, K., & Hun Jeung, S. (2018). Optical density analysis of standard phantom for mammography quality control. International Journal of Engineering & Technology, 7(2.33), 22-26. https://doi.org/10.14419/ijet.v7i2.33.13846

    Received date: 2018-06-08

    Accepted date: 2018-06-08

    Published date: 2018-06-08