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Computer-vision system for the detection and characterization of masses for use in mammographic screening programs

Publication ,  Journal Article
Yin, FF; Giger, ML; Doi, K; Vyborny, CJ; Schmidt, RA; Metz, CE
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 1991

Studies have shown that early detection of breast cancer through periodic mammographic screening of asymptomatic women could reduce breast cancer mortality by 30-50%. However, screening yields a high volume of mammograms requiring interpretation. In addition, accurate characterization of detected masses is an important task of radiologists in order to reduce the number of unnecessary biopsies. Considerable misclassification of masses still occurs. In fact, on average, only 20-30% of masses referred for surgical breast biopsy are actually malignant. As a potential aid to radiologists in mammographic screening programs, we are developing a computer-vision system for the detection and characterization of masses in digital mammograms. This system includes a detection subsystem and a characterization subsystem. Motivated by the systematic methods of viewing mammograms used by radiologists, the detection system is designed to analyze the deviation from the architectural symmetry of normal right and left breasts, and employs gray-level histogram analysis, a bilateral-subtraction technique and run-length linking of multiple subtraction images to locate potential masses. False-positive detections are further reduced by various feature-extraction techniques. The characterization system employs various image analysis techniques, such as the measurement of margin spiculation of masses, in order to estimate the likelihood of malignancy.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

ISSN

0277-786X

Publication Date

January 1, 1991

Volume

1396

Start / End Page

2 / 4

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

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Yin, F. F., Giger, M. L., Doi, K., Vyborny, C. J., Schmidt, R. A., & Metz, C. E. (1991). Computer-vision system for the detection and characterization of masses for use in mammographic screening programs. Proceedings of SPIE - The International Society for Optical Engineering, 1396, 2–4.
Yin, F. F., M. L. Giger, K. Doi, C. J. Vyborny, R. A. Schmidt, and C. E. Metz. “Computer-vision system for the detection and characterization of masses for use in mammographic screening programs.” Proceedings of SPIE - The International Society for Optical Engineering 1396 (January 1, 1991): 2–4.
Yin FF, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Computer-vision system for the detection and characterization of masses for use in mammographic screening programs. Proceedings of SPIE - The International Society for Optical Engineering. 1991 Jan 1;1396:2–4.
Yin, F. F., et al. “Computer-vision system for the detection and characterization of masses for use in mammographic screening programs.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 1396, Jan. 1991, pp. 2–4.
Yin FF, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Computer-vision system for the detection and characterization of masses for use in mammographic screening programs. Proceedings of SPIE - The International Society for Optical Engineering. 1991 Jan 1;1396:2–4.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

ISSN

0277-786X

Publication Date

January 1, 1991

Volume

1396

Start / End Page

2 / 4

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering