OSA's Digital Library

Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editor: Gregory W. Faris
  • Vol. 4, Iss. 4 — Apr. 1, 2009

Mass detection on mammograms: influence of signal shape uncertainty on human and model observers

C. Castella, M. P. Eckstein, C. K. Abbey, K. Kinkel, F. R. Verdun, R. S. Saunders, E. Samei, and F. O. Bochud  »View Author Affiliations


JOSA A, Vol. 26, Issue 2, pp. 425-436 (2009)
http://dx.doi.org/10.1364/JOSAA.26.000425


View Full Text Article

Enhanced HTML    Acrobat PDF (552 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

We studied the influence of signal variability on human and model observers for detection tasks with realistic simulated masses superimposed on real patient mammographic backgrounds and synthesized mammographic backgrounds (clustered lumpy backgrounds, CLB). Results under the signal-known-exactly (SKE) paradigm were compared with signal-known-statistically (SKS) tasks for which the observers did not have prior knowledge of the shape or size of the signal. Human observers' performance did not vary significantly when benign masses were superimposed on real images or on CLB. Uncertainty and variability in signal shape did not degrade human performance significantly compared with the SKE task, while variability in signal size did. Implementation of appropriate internal noise components allowed the fit of model observers to human performance.

© 2009 Optical Society of America

OCIS Codes
(170.3830) Medical optics and biotechnology : Mammography
(330.1880) Vision, color, and visual optics : Detection
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5020) Vision, color, and visual optics : Perception psychology
(330.5510) Vision, color, and visual optics : Psychophysics

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: September 9, 2008
Revised Manuscript: December 11, 2008
Manuscript Accepted: December 14, 2008
Published: January 30, 2009

Virtual Issues
Vol. 4, Iss. 4 Virtual Journal for Biomedical Optics

Citation
C. Castella, M. P. Eckstein, C. K. Abbey, K. Kinkel, F. R. Verdun, R. S. Saunders, E. Samei, and F. O. Bochud, "Mass detection on mammograms: influence of signal shape uncertainty on human and model observers," J. Opt. Soc. Am. A 26, 425-436 (2009)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-26-2-425


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. A. E. Burgess, R. F. Wagner, R. J. Jennings, and H. B. Barlow, “Efficiency of human visual signal discrimination,” Science 214, 93-94 (1981). [CrossRef] [PubMed]
  2. A. E. Burgess and H. Ghandeharian, “Visual signal detection. I. Ability to use phase information,” J. Opt. Soc. Am. A 1, 900-905 (1984). [CrossRef] [PubMed]
  3. K. J. Myers, H. H. Barrett, M. C. Borgstrom, D. D. Patton, and G. W. Seeley, “Effect of noise correlation on detectability of disk signals in medical imaging,” J. Opt. Soc. Am. A 2, 1752-1759 (1985). [CrossRef] [PubMed]
  4. A. E. Burgess, F. L. Jacobson, and P. F. Judy, “Human observer detection experiments with mammograms and power-law noise,” Med. Phys. 28, 419-437 (2001). [CrossRef] [PubMed]
  5. A. E. Burgess and P. F. Judy, “Signal detection in power-law noise: effect of spectrum exponents,” J. Opt. Soc. Am. A 24, B52-B60 (2007). [CrossRef]
  6. J. P. Rolland and H. H. Barrett, “Effect of random background inhomogeneity on observer detection performance,” J. Opt. Soc. Am. A 9, 649-658 (1992). [CrossRef] [PubMed]
  7. F. O. Bochud, C. K. Abbey, and M. P. Eckstein, “Statistical texture synthesis of mammographic images with clustered lumpy backgrounds,” Opt. Express 4, 33-43 (1999). [CrossRef] [PubMed]
  8. C. Castella, K. Kinkel, F. Descombes, M. P. Eckstein, P.-E. Sottas, F. R. Verdun, and F. O. Bochud, “Mammographic texture synthesis: second-generation clustered lumpy backgrounds using a genetic algorithm,” Opt. Express 16, 7595-7607 (2008). [CrossRef] [PubMed]
  9. C. Castella, C. K. Abbey, M. P. Eckstein, F. R. Verdun, K. Kinkel, and F. O. Bochud, “Human linear template with mammographic backgrounds estimated with a genetic algorithm,” J. Opt. Soc. Am. A 24, B1-B12 (2007). [CrossRef]
  10. P. F. Judy, M. F. Kijewski, and R. G. Svensson, “Observer detection performance loss: target-size uncertainty,” Proc. SPIE 3036, 39-47 (1997). [CrossRef]
  11. C. K. Abbey and M. P. Eckstein, “Maximum-likelihood and maximum-a-posteriori estimates of human-observer templates,” Proc. SPIE 4324, 114-122 (2001). [CrossRef]
  12. C. K. Abbey, M. P. Eckstein, S. S. Shimozaki, A. H. Baydush, D. M. Catarious, and C. E. Floyd, “Human observer templates for detection of a simulated lesion in mammographic images,” Proc. SPIE 4686, 25-35 (2002). [CrossRef]
  13. M. P. Eckstein, A. J. Ahumada, and A. B. Watson, “Image discrimination models predict signal detection in natural medical image backgrounds,” Proc. SPIE 3016, 44-56 (1997). [CrossRef]
  14. H. H. Barrett and K. J. Myers, Foundations of Image Science (Wiley, 2004).
  15. M. P. Eckstein, C. K. Abbey, and F. O. Bochud, “A practical guide to model observers for visual detection in synthetic and natural noisy images,” in Handbook of Medical Imaging, Vol. 1, Physics and psychophysics, J.Beutel, H.L.Kundel, R.L.Van Metter, eds. (SPIE Press, 2000), pp. 593-628.
  16. D. S. Brettle, E. Berry, and M. A. Smith, “The effect of experience on detectability in local area anatomical noise,” Br. J. Radiol. 80, 186-193 (2007). [CrossRef]
  17. R. Saunders and E. Samei, “Characterization of breast masses for simulation purposes,” Proc. SPIE 5372, 242-250 (2004). [CrossRef]
  18. R. Saunders, E. Samei, J. Baker, and D. Delong, “Simulation of mammographic lesions,” Acad. Radiol. 13, 860-870 (2006). [CrossRef] [PubMed]
  19. M. P. Eckstein and C. K. Abbey, “Model observers for signal-known-statistically tasks (SKS),” Proc. SPIE 4324, 91-102 (2001). [CrossRef]
  20. M. P. Eckstein, B. Pham, and C. K. Abbey, “Effect of image compression for model and human observers in signal-known-statistically tasks,” Proc. SPIE 4686, 13-24 (2002). [CrossRef]
  21. M. P. Eckstein, Y. Zhang, B. Pham, and C. K. Abbey, “Optimization of model observer performance for signal known exactly but variable tasks leads to optimized performance in signal known statistically tasks,” Proc. SPIE 5034, 123-134 (2003). [CrossRef]
  22. Y. Zhang, B. P. Pham, and M. P. Eckstein, “Task-based model/human observer evaluation of SPIHT wavelet compression with human visual system-based quantization,” Acad. Radiol. 12, 324-336 (2005). [CrossRef] [PubMed]
  23. C. Castella, K. Kinkel, M. P. Eckstein, C. K. Abbey, F. R. Verdun, R. S. Saunders, E. Samei, and F. O. Bochud, “Mass detection on mammograms: signal variations and performance changes for human and model observers,” Proc. SPIE 6917, 69170K (2008). [CrossRef]
  24. A. E. Burgess, “Statistically defined backgrounds: Performance of a modified nonprewhitening observer,” J. Opt. Soc. Am. A 11, 1237-1242 (1994). [CrossRef]
  25. National Electrical Manufacturers Association, Digital Imaging and Communications in Medicine (DICOM) Part 14: Grayscale Display Standard Function (NEMA, 2000). [PubMed]
  26. S. Muller, “Full-field digital mammography designed as a complete system,” Eur. J. Radiol. 39, 25-34 (1999). [CrossRef]
  27. S. Vedantham, A. Karellas, S. Suryanarayanan, D. Albagli, S. Han, E. J. Tkaczyk, C. E. Landberg, B. Opsahl-Ong, P. R. Granfors, I. Levis, C. J. D'Orsi, and R. E. Hendrick, “Full breast digital mammography with an amorphous silicon-based flat panel detector: Physical characteristics of a clinical prototype,” Med. Phys. 27, 558-567 (2000). [CrossRef] [PubMed]
  28. M. Heath, K. Bowyer, D. Kopans, R. Moore, and W. P. Kegelmeyer, “The Digital Database For Screening Mammography,” in Proceedings of the Fifth International Workshop on Digital Mammography, M.J.Yaffe, ed (Medical Physics Publishing, 2001), pp. 212-218.
  29. C. J. D'Orsi, Illustrated Breast Imaging Reporting and DATA System (BIRADS) (American College of Radiology, 1998).
  30. A. E. Burgess, “On the noise variance of a digital mammography system,” Med. Phys. 31, 1987-1995 (2004). [CrossRef] [PubMed]
  31. A. E. Burgess, “Comparison of receiver operating characteristics and forced choice observer performance measurement methods,” Med. Phys. 22, 643-655 (1995). [CrossRef] [PubMed]
  32. P. G. J. Barten, “The SQRI method: a new method for the evaluation of visible resolution on a display,” Proc. S.I.D. 28, 253-262 (1987).
  33. K. J. Myers and H. H. Barrett, “Addition of a channel mechanism to the ideal-observer model,” J. Opt. Soc. Am. A 4, 2447-2457 (1987). [CrossRef] [PubMed]
  34. C. K. Abbey and H. H. Barrett, “Human- and model-observer performance in ramp-spectrum noise: effects of regularization and object variability,” J. Opt. Soc. Am. A 18, 473-487 (2001). [CrossRef]
  35. A. J. Ahumada, Jr., “Classification image weights and internal noise level estimation,” J. Vision 2, 121-131 (2002). [CrossRef]
  36. J. A. Solomon, “Noise reveals visual mechanisms of detection and discrimination,” J. Vision 2, 105-120 (2002). [CrossRef]
  37. R. F. Murray, P. J. Bennett, and A. B. Sekuler, “Optimal methods for calculating classification images: Weighted sums,” J. Vision 2, 79-104 (2002). [CrossRef]
  38. C. K. Abbey, M. P. Eckstein, S. S. Shimozaki, A. H. Baydush, D. M. Catarious, and C. E. Floyd, “Human-observer templates for detection of a simulated lesion in mammographic images,” Proc. SPIE 4686, 25-36 (2002). [CrossRef]
  39. C. K. Abbey and M. P. Eckstein, “Classification image analysis: Estimation and statistical inference for two-alternative forced-choice experiments,” J. Vision 2, 66-78 (2002). [CrossRef]
  40. C. K. Abbey and M. P. Eckstein, “Optimal shifted estimates of human-observer templates in two-alternative forced choice experiments,” IEEE Trans. Med. Imaging 21, 429-440 (2002). [CrossRef] [PubMed]
  41. B. D. Gallas, G. A. Pennello, and K. J. Myers, “Multireader multicase variance analysis for binary data,” J. Opt. Soc. Am. A 24, B70-B80 (2007). [CrossRef]
  42. F. O. Bochud, C. K. Abbey, and M. P. Eckstein, “Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds,” J. Opt. Soc. Am. A 17, 193-205 (2000). [CrossRef]
  43. J. Eng, “ROC analysis: web-based calculator for ROC curves,” http://www.jrocfit.org.
  44. Y. Zhang, B. T. Pham, and M. P. Eckstein, “Evaluation of internal noise methods for Hotelling observer models,” Med. Phys. 34, 3312-3322 (2007). [CrossRef] [PubMed]
  45. Y. Zhang, B. T. Pham, and M. P. Eckstein, “Automated optimization of JPEG 2000 encoder options based on model observer performance for detecting variable signals in X-ray coronary angiograms,” IEEE Trans. Med. Imaging 23, 459-474 (2004). [CrossRef] [PubMed]
  46. R. Lowry, “VassarStats: Web Site for Statistical Computation,” http://faculty.vassar.edu/lowry/VassarStats.html.
  47. Y. Zhang, C. K. Abbey, and M. P. Eckstein, “Adaptive detection mechanisms in globally statistically nonstationary-oriented noise,” J. Opt. Soc. Am. A 23, 1549-1558 (2006). [CrossRef]
  48. N. Perry, M. Broeders, C. de Wolf, S. Törnberg, R. Holland, and L. von Karsa, European Guidelines for Quality Assurance in Breast Cancer Screening and Diagnosis, 4th ed. (Office for Official Publications of the European Communities, 2006).
  49. Y. Jiang, D. L. Miglioretti, C. E. Metz, and R. A. Schmidt, “Breast cancer detection rate: designing imaging trials to demonstrate improvements,” Radiology 243, 360-367 (2007). [CrossRef] [PubMed]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited