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Image Processing Techniques to Evaluate Mammography Screening Quality

Image Processing Techniques to Evaluate Mammography Screening Quality. 1,2 1,2 1,2. C. Quintana. G. Tirao, M. Valente. Introduction. Mammography image Image Quality Goal. Mammography image.

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Image Processing Techniques to Evaluate Mammography Screening Quality

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  1. Image Processing Techniques to Evaluate Mammography Screening Quality 1,2 1,2 1,2 C. Quintana. G. Tirao, M. Valente

  2. Introduction Mammography image Image Quality Goal

  3. Mammography image A mammography image is an special kind of breast radiography. The goal of mammography is the early detection of breast cancer.

  4. Image Quality The image quality depends on: • Sample properties (breast tissue, kind of micro calcifications, breast size, etc…) • Detector resolution • Irradiation parameters (beam features and inserted devices)

  5. Goal Developautomaticmethodsaimedtoevaluate mammographic imagequality.

  6. Methodology Simulatedimages Techniques based on intrinsic properties Comparativetechniques

  7. SimulatedImages

  8. Developed Processing Techniques Techniques based on intrinsic properties • Dynamic Range (DR) • Signal-to-Noise Radio (SNR) • Contrast-to-Noise Radio (CNR) • Entropy (H)

  9. Developed Processing Techniques Techniques based on intrinsic properties • Dynamic Range (DR) • Signal-to-Noise Radio (SNR) • Contrast-to-Noise Radio (CNR) • Entropy (H)

  10. Developed Processing Techniques Techniques based on intrinsic properties • Dynamic Range (DR) • Signal-to-Noise Radio (SNR) • Contrast-to-Noise Radio (CNR) • Entropy (H)

  11. Developed Processing Techniques Techniques based on intrinsic properties • Dynamic Range (DR) • Signal-to-Noise Radio (SNR) • Contrast-to-Noise Radio (CNR) • Entropy (H)

  12. Developed Processing Techniques Techniques based on intrinsic properties • Dynamic Range (DR) • Signal-to-Noise Radio (SNR) • Contrast-to-Noise Radio (CNR) • Entropy (H)

  13. Developed Processing Techniques ComparativeTechniques • JointEntropy (JH) • Mutual Information (MI) • Normalized Cross Correlation (NCC) • Index Q (Q)

  14. Developed Processing Techniques ComparativeTechniques • JointEntropy (JH) • Mutual Information (MI) • Normalized Cross Correlation (NCC) • Index Q (Q)

  15. Developed Processing Techniques Comparative Techniques • JointEntropy (JH) • Mutual Information (MI) • Normalized Cross Correlation (NCC) • Index Q (Q)

  16. Developed Processing Techniques ComparativeTechniques • JointEntropy (JH) • Mutual Information (MI) • Normalized Cross Correlation (NCC) • Index Q (Q)

  17. Results and discussion

  18. (DR, CNR, Q) , (H, JH, MI) , SNR , NCC

  19. Central Axis Profile

  20. Conclusions

  21. Conclusions Every method allow to assess the image quality under some criteria (DR, CNR, Q) (H, JH, MI) SNR NCC ImageContrast Image Intensity Similarity with the ideal image

  22. Conclusions Every method allow to assess the image quality under some criteria (DR, CNR, Q) (H, JH, MI) SNR NCC ImageContrast Image Intensity Similarity with the ideal image

  23. Thanks for your attention Questions?

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