SPECIAL ISSUE: Correspondence and Registration Techniques; Edited by M. BennamounNo Access

RIGID MEDICAL IMAGE REGISTRATION AND ITS ASSOCIATION WITH MUTUAL INFORMATION

School of Electrical & Electronic Systems Engineering, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia

Search for more papers by this author

and

M. BENNAMOUN

Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia

Search for more papers by this author

https://doi.org/10.1142/S0218001403002800Cited by:8 (Source: Crossref)

Abstract

Image registration plays a crucial role in the computer vision and medical imaging field where it is used to develop a spatial mapping between different sets of data. These transformations can range from simple rigid registrations to complex nonrigid deformations. Mutual information (MI) is a popular entropy-based similarity measure which has recently experienced a prolific expansion in a number of image registration applications. Stemming from information theory, this measure generally outperforms most other intensity-based measures in multimodal applications as it only assumes a statistical dependence between images. This paper provides a thorough introduction to the MI measure and its use in rigid medical image registration. A look at the extensions proposed to the original measure will also be provided. These were developed to improve the robustness of the measure and to avoid certain cases when maximizing MI does not lead to the correct spatial alignment.

Keywords:

References

L. K. Arataet al., IEEE Trans. Biomed. Engin. 42, 1069 (1995), DOI: 10.1109/10.469373. Crossref, Web of Science, Google Scholar
N. Ayache, Imag. Vis. Comput. 13(4), 295 (1995), DOI: 10.1016/0262-8856(95)99717-F. Crossref, Web of Science, Google Scholar
L. Barndenet al., European J. Nucl. Med. 27(2), 147 (2000), DOI: 10.1007/s002590050020. Crossref, Google Scholar
J. L. Boes and C. R. Meyer, Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science 1679 (Springer-Verlag, Berlin, 1999) pp. 606–612. Crossref, Google Scholar
L. G. Brown, ACM Comput. Surv. 24(4), 325 (1992), DOI: 10.1145/146370.146374. Crossref, Web of Science, Google Scholar
T. Butz and J.-P. Thiran, Feature-space mutual information for multi-modal signal processing, with application to medical image registration, European Signal Processing Conf. — EUSIPCO1 (2002) pp. 3–10. Google Scholar
A. Collignonet al., Information Processing in Medical Imaging, eds. Y. Bizaiset al. (Kluwer Academic Publishers, The Netherlands, 1995) pp. 263–274. Google Scholar
A. Collignonet al., Computer Vision, Virtual Reality, and Robotics in Medicine, Lecture Notes in Computer Science 905, ed. N. Ayache (Springer-Verlag, Berlin, 1995) pp. 195–204. Crossref, Google Scholar
D. L. Collins, "3D Model-based segmentation of individual brain structures from magnetic resonance imaging data," Ph.D. thesis, Department of Biomedical Engineering, McGill University, October, 1994 . Google Scholar
A. P. Dhawanet al., IEEE Trans. Biomed. Engin. 42(11), 1079 (1995), DOI: 10.1109/10.469374. Crossref, Web of Science, Google Scholar
G. Egnal, "Mutual information as a stereo correspondence measure," Technical Report, Department on Computer and Information Science, University of Pennsylvania, 2000 . Google Scholar
B. S. Everitt , Introduction to Optimization Methods and Their Application in Statistics ( Chapman and Hall , London , 1987 ) . Crossref, Google Scholar
C. Fookes and M. Bennamoun, "Registration of three dimensional medical images," Technical Report ISBN: 1 86435 490 9, SCSN, Brisbane, Australia, July 2000 . Google Scholar
C. Fookes, M. Bennamoun and A. Lamanna, Improved stereo image matching using mutual information and hierarchical prior probabilities, Proc. Int. Conf. Pattern Recognition2 (2002) pp. 937–940. Google Scholar
S. Gilles, "Description and experimentation of image matching using mutual information," Technical Report, Robotics Research Group, Oxford University, 1996 . Google Scholar
M. I. Glavinovic, Pflugers Arch. — Eur. J. Physiol. 433(1 & 2), 174 (1996). Web of Science, Google Scholar
I. H. Habboushet al., Radiology 199(2), 573 (1996). Crossref, Web of Science, Google Scholar
R. V. L. Hartley, Bell Syst. Tech. J. 7, 535 (1928). Crossref, Google Scholar
D. J. Hawkes, J. Anat. 193(3), 347 (1998), DOI: 10.1046/j.1469-7580.1998.19330347.x. Crossref, Web of Science, Google Scholar
S. Haykin , Neural Networks: A Comprehensive Foundation ( MacMillan , NY , 1994 ) . Google Scholar
D. L. G. Hillet al., Information Processing in Medical Imaging, Lecture Notes in Computer Science 687, eds. H. H. Barrett and A. F. Gmitro (Springer-Verlag, Berlin, 1993) pp. 182–196. Crossref, Google Scholar
D. L. G. Hillet al., J. Comput. Assist. Tomogr. 22(2), 317 (1998), DOI: 10.1097/00004728-199803000-00031. Crossref, Web of Science, Google Scholar
D. L. G. Hill, C. Studholme and D. J. Hawkes, Voxel similarity measures for automated image registration, Visualization in Biomedical Computing, Proc. SPIE 2359, ed. R. A. Robb (SPIE Press, 1994) pp. 205–216. Google Scholar
M. Holdenet al., IEEE Trans. Med. Imag. 19(2), 94 (2000), DOI: 10.1109/42.836369. Crossref, Web of Science, Google Scholar
G. Jumarie, Patt. Recogn. Lett. 12, 525 (1991), DOI: 10.1016/0167-8655(91)90102-R. Crossref, Web of Science, Google Scholar
Z. Z. Karu, "Fast subpixel registration of 3-D images," Ph.D. thesis, Massachusetts Institute of Technology, September 1997 . Google Scholar
H. Kruppa and B. Schiele, Robot. Auton. Syst. 39, (2002), DOI: 10.1016/S0921-8890(02)00204-X. Google Scholar
H. Kruppa, M. Spengler and B. Schiele, Robot. Auton. Syst. 41, 101 (2002), DOI: 10.1016/S0921-8890(02)00259-2. Crossref, Web of Science, Google Scholar
Y. H. Lau, M. Braun and B. F. Hutton, Phys. Med. Biol. 46, 1297 (2001), DOI: 10.1088/0031-9155/46/4/326. Crossref, Web of Science, Google Scholar
T. M. Lehmann, C. Gonner and K. Spitzer, IEEE Trans. Med. Imag. 18(11), 1049 (1999), DOI: 10.1109/42.816070. Crossref, Web of Science, Google Scholar
H. Lester and S. R. Arridge, Patt. Recogn. 32, 129 (1999), DOI: 10.1016/S0031-3203(98)00095-8. Crossref, Web of Science, Google Scholar
M. E. Leventon and W. E. L. Grimson, Multi-modal volume registration using joint intensity distributions, Medical Image Computing and Computer-Assisted Intervention (1998) pp. 1057–1066, DOI: 10.1007/BFb0056295. Google Scholar
S. Luo and X. Li, Implementation of mutual information based multi-modality medical image registration, Proc. 22nd Ann. Int. Conf. IEEE Engineering in Medicine and Biology Society2 (2000) pp. 1447–1450. Google Scholar
F. Maeset al., Mathematical Methods in Biomedical Image Analysis (IEEE Computer Society Press, Los Alamitos, CA, 1996) pp. 14–22. Crossref, Google Scholar
F. Maeset al., IEEE Trans. Med. Imag. 16(2), 187 (1997), DOI: 10.1109/42.563664. Crossref, Web of Science, Google Scholar
F. Maes, D. Vandermeulen, G. Marchal and P. Suetens, "Gradient-based maximization of mutual information for multimodality image registration," Technical Report 9709, Katholieke Universiteit Leuven, Medical Image Computing, Leuven, Belgium, September, 1997 . Google Scholar
F. Maes, D. Vandermeulen and P. Suetens, Med. Imag. Anal. 3(4), 373 (1999), DOI: 10.1016/S1361-8415(99)80030-9. Crossref, Google Scholar
J. B. A. Maintz and M. A. Viergever, Med. Imag. Anal. 2(1), 1 (1998), DOI: 10.1016/S1361-8415(01)80026-8. Crossref, Google Scholar
T. McInerney and D. Terzopoulos, Med. Imag. Anal. 1(2), 91 (1996), DOI: 10.1016/S1361-8415(96)80007-7. Crossref, Google Scholar
X. Meihe, R. Srinivasan and W. L. Nowinski, Lecture Notes in Computer Science (Springer-Verlag, Berlin, 1999) pp. 466–471. Google Scholar
C. R. Meyeret al., Med. Imag. Anal. 1(3), 195 (1997), DOI: 10.1016/S1361-8415(97)85010-4. Crossref, Google Scholar
H. F. Neemuchwala, A. O. Hero and P. L. Carson, European J. Sign. Proc. (2002). Google Scholar
C. Nikouet al., Single and multimodal subvoxel registration of dissimilar medical images using robust similarity measures, Conf. Image Processing, SPIE 3338 (1998) pp. 167–178. Google Scholar
C. Petitjean, N. Rougon and F. Preteux, "Non-rigid image registration using generalized information measures," Technical Report 02001, Institut National des Telecommunications — ARTEMIS Project Unit, Evry, France, March 2002 . Google Scholar
J. P. W. Pluim, J. B. A. Maintz and M. A. Viergever, IEEE Trans. Med. Imag. 19(8), 809 (2000), DOI: 10.1109/42.876307. Crossref, Web of Science, Google Scholar
J. P. W. Pluim, J. B. A. Maintz and M. A. Viergever, Comput. Vis. Imag. Underst. 77(2), 211 (2000), DOI: 10.1006/cviu.1999.0816. Crossref, Web of Science, Google Scholar
J. P. W. Pluim, J. B. A. Maintz and M. A. Viergever, f-Information measures in medical image registration, Medical Imaging, SPIE 4322, eds. M. Sonka and K. M. Hanson (SPIE Press, 2001) pp. 579–587. Google Scholar
J. P. W. Pluim, J. B. A. Maintz and M. A. Viergever, Imag. Vis. Comput. 19(1 & 2), 45 (2001), DOI: 10.1016/S0262-8856(00)00054-8. Crossref, Web of Science, Google Scholar
W. Press , Numerical Recipes in C , 2nd edn. ( Cambridge University Press , 1995 ) . Google Scholar
P. Viola and W. M. Wells, Int. J. Comput. Vis. 24(2), 137 (1997), DOI: 10.1023/A:1007958904918. Crossref, Web of Science, Google Scholar
A. Rangarajan, H. Chui and J. S. Duncan, Med. Imag. Anal. 3(4), 425 (1999), DOI: 10.1016/S1361-8415(99)80034-6. Crossref, Google Scholar
A. Rangarajan and J. S. Duncan, Matching point features using mutual information, Proc. Workshop on Biomedical Image Analysis (IEEE Computer Society, 1998) pp. 172–181. Google Scholar
D. Rey, G. Subsol, H. Delingette and N. Ayache, "Automatic detection and segmentation of evolving processes in 3d medical images: application to multiple sclerosis," Technical Report 3559, INRIA, Sophia Antipolis, 1998 . Google Scholar
N. Ritteret al., IEEE Trans. Med. Imag. 18(5), 404 (1999), DOI: 10.1109/42.774168. Crossref, Web of Science, Google Scholar
N. Ritteret al., The application of mutual information to the registration of stereo and temporal images of the retina, Proc. Advanced Topics Artificial Intelligence: 10th Australian Joint Conf. Artificial Intelligence, AI'97 (1997) pp. 67–76. Google Scholar
A. Roche, G. Malandain and N. Ayache, "Unifying maximum likelihood approaches in medical image registration," Technical Report 3741, INRIA, Sophia Antipolis, 1999 . Google Scholar
A. Rocheet al., Lecture Notes in Computer Science (Springer-Verlag, Berlin, 1999) pp. 555–566. Google Scholar
A. Rocheet al., IEEE Trans. Med. Imag. 20(10), 1038 (2001), DOI: 10.1109/42.959301. Crossref, Web of Science, Google Scholar
C. E. Rodriguez-Carranza and M. H. Loew, A weighted and deterministic entropy measure for image registration using mutual information, Conf. Image Processing, Proc. SPIE 3338 (1998) pp. 155–166. Google Scholar
C. Roux and J.-L. Coatrieux (eds.) , Studies in Health Technology and Informatics 30 ( IOS Press , Netherlands , 1997 ) . Google Scholar
D. Rueckert et al. , Non-rigid registration using higher-order mutual information , Medical Imaging — Image Processing , ed. K. M. Hanson ( SPIE Press , Bellingham, WA , 2000 ) , DOI: 10.1117/12.804801 . Google Scholar
D. Sarrut and S. Miguet, Fast 3D transformation for registration procedures, Proc. 10th Int. Conf. Image Analysis and Processing (IEEE Computer Society, 1999) pp. 446–451. Google Scholar
L. B. Shams, M. J. Brady and S. Schaal, Neural Networks 14, 345 (2001), DOI: 10.1016/S0893-6080(00)00099-X. Crossref, Web of Science, Google Scholar
C. E. Shannon, Bell Syst. Tech. J. 27, 379 (1948). Crossref, Web of Science, Google Scholar
P. J. Slomkaet al., J. Nucl. Med. 36(6), 1115 (1995). Web of Science, Google Scholar
C. Studholme, D. J. Hawkes and D. L. G. Hill, A normalized entropy measure for multi-modality image alignment, Conf. Image Processing, Proc. SPIE 3338 (1998) pp. 132–143. Google Scholar
C. Studholme, D. L. G. Hill and D. J. Hawkes, Information Processing in Medical Imaging, eds. Y. Bizaiset al. (Kluwer Academic Publishers, 1995) pp. 287–298. Google Scholar
C. Studholme, D. L. G. Hill and D. J. Hawkes, Med. Imag. Anal. 1(2), 163 (1996), DOI: 10.1016/S1361-8415(96)80011-9. Crossref, Google Scholar
C. Studholme, D. L. G. Hill and D. J. Hawkes, Mathematical Methods in Biomedical Image Analysis, eds. A. A. Amini, F. L. Bookstein and D. C. Wilson (IEEE Computer Society Press, Los Alamitos, CA, 1996) pp. 23–31. Crossref, Google Scholar
C. Studholme, D. L. G. Hill and D. J. Hawkes, Med. Phys. 24(1), 25 (1997), DOI: 10.1118/1.598130. Crossref, Web of Science, Google Scholar
C. Studholme, D. L. G. Hill and D. J. Hawkes, Patt. Recogn. 32, 71 (1999), DOI: 10.1016/S0031-3203(98)00091-0. Crossref, Web of Science, Google Scholar
C. Studholmeet al., Registration measures for automated 3d alignment of PET and intensity distorted MR images, Proc. Image Fusion and Shape Variability Techniques (Leeds University Press, 1996) pp. 186–193. Google Scholar
C. Studholmeet al., Automated multimodality registration using the full affine transformation: application to MR and CT guided skull base surgery, Proc. 4th Int. Conf. Visualization in Biomedical Computing (1996) pp. 601–606. Google Scholar
P. Thevenaz and M. Unser, A pyramid approach to sub-pixel image fusion based on mutual information, Int. Conf. Image Processing (1996) pp. 265–268. Google Scholar
P. Thevenaz and M. Unser, Spline pyramids for inter-modal image registration using mutual information, Conf. Wavelet Applications in Signal and Image Processing V, SPIE 3169 (1997) pp. 236–247. Google Scholar
P. Thevenaz and M. Unser, An efficient mutual information optimizer for multiresolution image registration, Proc. Int. Conf. Image Processing1 (1998) pp. 833–837. Google Scholar
P. Thevenaz and M. Unser, IEEE Trans. Imag. Process. 9(12), 2083 (2000). Crossref, Web of Science, Google Scholar
J.-P. Thirion, S. Prima and G. Subsol, "Statistical analysis of dissymmetry in volumetric medical images," Technical Report 3178, INRIA, Sophia Antipolis, 1997 . Google Scholar
P. Thompson and A. W. Toga , Handbook of Medical Image Processing ( Academic Press , 1999 ) . Google Scholar
L. Thurfjellet al., European J. Nucl. Med. 27(7), 847 (2000), DOI: 10.1007/s002590000270. Crossref, Google Scholar
A. W. Toga and P. M. Thompson, Imag. Vis. Comput. J. 19(1 & 2), 3 (2001), DOI: 10.1016/S0262-8856(00)00055-X. Crossref, Web of Science, Google Scholar
M. Unser, A. Aldroubi and C. R. Gerfen, A multiresolution image registration procedure using spline pyramids, Proc. SPIE — The International Society for Optical Engineering 2034 (1993) pp. 160–170. Google Scholar
I. Vajda , Theory of Statistical Inference and Information ( Kluwer , Dordrecht, The Netherlands , 1989 ) . Google Scholar
P. A. van den Elsen, E.-J. D. Pol and M. A. Viergever, IEEE Engin. Med. Biol. 12(1), 26 (1993), DOI: 10.1109/51.195938. Crossref, Web of Science, Google Scholar
P. Viola and W. M. Wells, Alignment by maximization of mutual information, 5th Int. Conf. Computer Vision (1995) pp. 16–23. Google Scholar
P. A. Viola, "Alignment by maximization of mutual information," Ph.D. thesis, Artifical Intelligence Laboratory, Massachusetts Institute of Technology, June 1995 . Google Scholar
W. M. Wellset al., Med. Imag. Anal. 1(1), 35 (1996), DOI: 10.1016/S1361-8415(01)80004-9. Crossref, Google Scholar
J. Westet al., J. Comput. Assist. Tomogr. 21(4), 554 (1997), DOI: 10.1097/00004728-199707000-00007. Crossref, Web of Science, Google Scholar
R. P. Woods, J. C. Mazziotta and S. R. Cherry, J. Comput. Assist. Tomogr. 17(4), 536 (1993), DOI: 10.1097/00004728-199307000-00004. Crossref, Web of Science, Google Scholar

Vol. 17, No. 07

Metrics

Downloaded 32 times

History

Keywords

PDF download

RIGID MEDICAL IMAGE REGISTRATION AND ITS ASSOCIATION WITH MUTUAL INFORMATION

Abstract

Recommended