A branch & bound algorithm for medical image registration

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

Volumn 4958 LNCS, Issue , 2008, Pages 217-228

  Stiglmayr, Michael ^a   Pfeuffer, Frank ^a   Klamroth, Kathrin ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE REGISTRATION; INTEGER PROGRAMMING; MATHEMATICAL TRANSFORMATIONS; MEDICAL IMAGING;

BOUND ALGORITHMS; GLOBAL OPTIMALITY; MIXED INTEGER PROGRAMMING; PROBLEM INSTANCES;

IMAGE ANALYSIS;

EID: 70349327583     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78275-9_19     Document Type: Conference Paper

References (16)

1. Besl, P.J., McKay, N.D.: A method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239-256 (1992)
2. Breuel, T.M.: A comparison of search strategies for geometric branch and bound algorithms. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, Springer, Heidelberg (2002)
3. Breuel, T.M.: Implementation techniques for geometric branch-and-bound matching methods. Computer Vision and Image Understanding 90(3), 258-294 (2003)
4. Breuel, T.M.: On the use of interval arithmetic in geometric branch and bound algorithms. Pattern Recognition Letters 24(9-10), 1375-1384 (2003)
5. Chui, H., Rangarajan, A.: A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding 89(2-3), 114-141 (2003)
6. Eggert, D., Lorusso, A., Fisher, R.: Estimating 3-D rigid body transformations: A comparison of four major algorithms. Machine Vision and Applications 9(5-6), 272-290 (1997)
7. Hastreiter, P., Rezk-Salama, C., Soza, G., Bauer, M., Greiner, G., Fahlbusch, R., Ganslandt, O., Nimsky, C.: Strategies for brain shift evaluation. Medical Image Analysis 8(4), 447-464 (2004)
8. Liu, Y.: Improving ICP with easy implementation for free-form surface matching. Pattern Recognition 37(2), 211-226 (2004)
9. Maintz, J.B.A., Viergever, M.A.: A survey of medical image registration. Medical Image Analysis 2(1), 1-36 (1998)
10. Modersitzki, J.: Numerical Methods for Image Registration. Oxford University Press, New York (2004)
11. Mount, D.M., Netanyahu, N.S., Le Moigne, J.: Efficient algorithms for robust feature matching. Pattern Recognition 32(1), 17-38 (1999)
12. Nemhauser, G.L., Wolsey, L.A.: Integer and combinatorial optimization. Wiley-Interscience, New York, USA (1988)
13. Pfeuffer, F.: Registrierung medizinischer Bilddaten auf Basis verallgemeinerter Zuordnungsprobleme. Masterś thesis, Universität Erlangen-Nürnberg, Institut für Angewandte Mathematik (2006)
14. Rusinkiewicz, S., Levoy,M.: Efficient variants of the ICP algorithm. In: Proceedings of the 3. Int. Conf. on 3D Digital Imaging and Modeling (2001)
15. Viola, P.A.: Alignment by Maximization of Mutual Information. PhD thesis, Massachusetts Institute of Technology (1995)
16. Zitová, B., Flusser, J.: Image registration methods: A survey. Image and Vision Computing 21(11), 977-1000 (2003)