Academic Radiology
Volume 16, Issue 11 , Pages 1338-1347 , November 2009

Matching Breast Masses Depicted on Different Views: A Comparison of Three Methods

Received 27 March 2009 ,Accepted 27 May 2009.

References 

  1. Gur D, Stalder JS, Hardesty LA, et al. Computer-aided detection performance in mammographic examination of masses: assessment. Radiology. 2004;233:418–423
  2. Khoo LA, Taylor P, Given-Wilson RM. Computer-aided detection in the United Kingdom national breast screening program: prospective study. Radiology. 2005;237:444–449
  3. Ko JM, Nicholas MJ, Mendel JB, Slanetz PJ. Prospective assessment of computer-aided detection in interpretation of screening mammograms. AJR Am J Roentgenol. 2006;187:1483–1491
  4. Nishikawa RM, Edwards AV, Schmidt RA, Papaioannou J. Can radiologists recognize that a computer has identified cancers that they have overlooked?. Proc SPIE. 2006;6146:1–8
  5. Nishikawa RM, Kallergi M. Computer-aided detection in its present form is not an effective aid for screening mammography. Med Phys. 2006;33:811–814
  6. Fenton JJ, Taplin SH, Carney PA, et al. Influence of computer-aided detection on performance of screening mammography. N Engl J Med. 2007;356:1399–1409
  7. Good WF, Zheng B, Chang YH, et al. Multi-image CAD employing features derived from ipsilateral mammographic views. Proc SPIE. 1999;3661:474–485
  8. Sallam MY, Bowyer KW. Registration and difference analysis of corresponding mammogram images. Med Imaging Anal. 1999;3:103–118
  9. Kita Y, Highnam RP, Brady JM. Correspondence between different view breast x rays using curved epipolar lines. Comput Vis Image Underst. 2001;83:38–56
  10. Paquerault S, Petrick N, Chan HP, Sahiner B, Helvie MA. Improvement of computerized mass detection on mammograms: fusion of two-view information. Med Phys. 2002;29:238–247
  11. Zheng B, Leader JK, Abrams GS, et al. Multiview based computer-aided detection scheme for breast masses. Med Phys. 2006;33:3135–3143
  12. van Engeland S, Timp S, Karssemeijer N. Finding corresponding regions of interest in mediolateral oblique and craniocaudal mammographic views. Med Phys. 2006;33:3203–3212
  13. van Engeland S, Karssemeijer N. Combining two mammographic projections in a computer aided mass detection method. Med Phys. 2007;34:898–905
  14. Pu J, Zheng B, Leader JK, Gur D. An ellipse-fitting based method for efficient registration of breast masses on two mammographic views. Med Phys. 2008;35:487–494
  15. Zheng B, Leader JK, Abrams G, et al. Computer-aided detection schemes: the effect of limiting the number of cued regions in each case. AJR Am J Roentgenol. 2004;182:579–583
  16. Zheng B, Lu A, Hardesty LA, et al. A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment. Med Phys. 2006;33:111–117
  17. Sahiner B, Chan HP, Hadjiiski LM, et al. Joint two-view information for computerized detection of microcalcifications on mammograms. Med Phys. 2006;33:2574–2585

 This work was supported in part by grants CA77850 and CA101733 to the University of Pittsburgh from the National Cancer Institute, National Institutes of Health (Bethesda, MD).

PII: S1076-6332(09)00302-X

doi: 10.1016/j.acra.2009.05.005

Academic Radiology
Volume 16, Issue 11 , Pages 1338-1347 , November 2009