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Auxiliary Application for Mammography System Calibration and Testing

This document presents an auxiliary application designed for the calibration and testing of mammography systems, crucial for early breast cancer detection. Over 300,000 mammography tests are conducted annually in Israel, highlighting the importance of image quality. This open-source, portable tool, built on Java, facilitates simple image quality checks and integrates easily with existing systems via plug-ins. Key tests include Contrast to Noise Ratio (CNR), Detector Ghosting (SDNR), and Modulation Transfer Function (MTF). The application aims to enhance public health through improved mammography system accuracy.

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Auxiliary Application for Mammography System Calibration and Testing

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  1. Auxiliary Application for Mammography system calibration and testing Prepared by: Alex Shkatov Professional advice and images: Andrey Broisman, Ariel University Center of Samaria

  2. Introduction • Mammography is the process of using low-energy-X-rays to examine the human breast. • The goal of mammography is the early detection of breast cancer • Over 300,000 mammography tests are performed every year in Israel.

  3. Motivation • Image quality is critical • The system should be calibrated periodically • Simple image quality checks are made manually • Complex tests are not performed • Simple and free auxiliary tool is needed

  4. ImageJ • Open source • Portable – Java based • Includes DICOM I/O libraries • Includes Vision algorithms libraries • Simple code integration via Plug-ins

  5. Supported image quality tests • Contrast to Noise Ratio (CNR) • Detector ghosting (SDNR) • Modulation transfer function(MTF)

  6. Contrast to Noise Ratio (CNR)

  7. Contrast to Noise Ratio (CNR)

  8. Contrast to Noise Ratio (CNR)

  9. Detector ghosting (SDNR)

  10. Detector ghosting (SDNR)

  11. Detector ghosting (SDNR)

  12. Modulation transfer function(MTF)

  13. Modulation transfer function(MTF)

  14. Modulation transfer function(MTF)

  15. Results

  16. Results - vertical edge

  17. Results - horizontal edge

  18. Conclusion • The results produced by the application are close to standard. • Additional images will be tested soon to verify the application. • Practical tests will be performed on mammography system computer. • Maybe someday the application will contribute to public health

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