A new image registration technique with free boundary constraints: Application to mammography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2353, Issue , 2002, Pages 531-545

  Richard, F ^a   Cohen, L ^b  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b UNIVERSITÉ PARIS DAUPHINE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MAMMOGRAPHY; X RAY SCREENS;

ENERGY MINIMIZATION PROBLEM; FREE BOUNDARY CONDITIONS; IMAGE REGISTRATION TECHNIQUES; MAMMOGRAM REGISTRATION; REGION MATCHING; REGIONS OF INTEREST; RESOLUTION ALGORITHMS; VARIATIONAL FRAMEWORK;

COMPUTER VISION;

EID: 33744800067     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47979-1_36     Document Type: Conference Paper

References (19)

1. R. Bajcsy and S. Kovacic. Multiresolution elastic matching. CVGIP, 46:1-21, 1989.
2. F.L. Bookstein. Principal warps: thin-plate splines and the decomposition of deformations. IEEE PAMI, 11(6):567–585, 1989.
3. G.E. Christensen, R.D. Rabbitt, and M.I. Miller. Mathematical textbook of deformable neuroanatomies. In Proc. Natl. Acad. Sci., USA, volume 90, pages 11944-11948, dec 93.
4. P. Ciarlet. The finite element method for elliptic problems. North-Holland, Amsterdam, 1978.
5. P. Ciarlet. Mathematical elasticity, volume 1: Three-dimensional elasticity. Studies in Mathematics and its Applications. North-Holland, Amsterdam, 1988.
6. N. Karssemeijer and G.M. te Brake. Combining single view features and asymmetry for detection of mass lesions. In N. Karssemeijer et al., editors, Proc. IWDM, pages 95-102, Nijmegen, The Netherlands, June 1998. Kluwer Academic.
7. T.K. Lau and W.F. Bischof. Automated detection of breast tumors using the asymmetry approach. Comput. Biomed. Res., 24(3):273-295, 1991.
8. M. Lefebure and L. Cohen. Image registration, optical flow and local rigidity. JMIV, 14(2), mar 2001.
9. J. Maintz and M.A. Viergever. A survey of medical image registration. Medical Image Analysis, 2(1):1–36, 1998.
10. K. Marias and J.M. Brady. Multi-scale landmark selection for improved registration of temporal mammograms. In M. Yaffe, editor, Proc. IWDM, pages 580-586, Toronto, Canada, June 2000. Medical Physics Publishing.
11. F. Richard. Modeles’elastiques d’ajustements d’images et applications aux paires bilatérales et temporelles de mammographies. PhD thesis, Universite Paris V, France, dec 2000.
12. F. Richard and C. Graffigne. An image-matching model for the registration of temporal or bilateral mammogram pairs. In M. Yaffe, editor, IWDM, pages 756-762, Toronto, Canada, June 2000. Medical Physics.
13. M. Sallam and K. Bowyer. Detecting abnormal densities in mammograms by comparison to previous screenings. In K. Doi et al., editors, Proc. IWDM, pages 417-420, Chicago, USA, June 1996. Elsevier Science.
14. M.Y Sallam and K. Bowyer. Registering time sequences of mammograms using a two-dimensional image unwarping technique. In A.G. Gale et al., editors,Proc. IWDM, pages 121-130, York, England, July 1994. Elsevier Science.
15. M.Y. Sallam and K. Bowyer. Registration and difference analysis of corresponding mammogram images.Medical Image Analysis, 3(2):103–118, 1999.
16. J.L. Semmlow, A. Shadagopappan, L.V. Ackerman, et al. A fully automated system for screening Xeromammograms. Comput. Biomed. Res., 13:350-362, 1980.
17. A. Stamatakis, A.Y Cairns, I.W. Ricketts, et al. A novel approach to aligning mammograms. In A. Gale et al., editors, Proc. IWDM, pages 355-364, England, jul 1994. Elsevier Science.
18. J. Suckling, J. Parker, D.R. Dance, et al. The Mammographic Image Analysis Society digital mammogram database. In A.G. Gale et al., editors, Proc. IWDM, York, England, July 1994.
19. A. Witkin, T. Terzopoulos, and M. Kass. Signal matching through scale space.IJCV, 1(2):133-144, 1987.