Rigid and Non-rigid Registration of Binary Objects using the Weighted Ratio Image
This paper presents the application of a signal intensity
independent similarity criterion for rigid and non-rigid body
registration of binary objects. The criterion is defined as the
weighted ratio image of two images. The ratio is computed on a
voxel per voxel basis and weighting is performed by setting the raios
between signal and background voxels to a standard high value. The
mean squared value of the weighted ratio is computed over the union
of the signal areas of the two images and it is minimized using the
Chebyshev polynomial approximation.
[1] P.Kotsas, S. Malasiotis, M. Strintzis,D.W.Piraino and J.F.Cornhill, "A
fast and accurate method for registration of MR images of the head",
International Journal of Medical Informatics 52(1998) pp167-182.
[2] J. Kybic and M. Unser, "Fast parametric elastic image registration",
IEEE Transactions on Image Processing Vol 12, No 11, Nov 2003, pp
1427-1442
[3] L.O.Hall, A.M.Bensaid, L.P.Clarke, R.P.Velthuizen, M.L. Silbiger et.
Al. " A comparison of neural networks and fuzzy clustering techniques
in segmenting magnetic resonance images of the brain, IEEE Trans.
Neural Netw. 2 (1992), pp672-683.
[4] B.Zitova, J. Flusser, :Image registration methods: A survey", Image and
Vision Computing 21 (2003) pp977-1000
[5] W.H.Press, S.A.Teukolsky, W.T.Vetterling, B.P.Flannery, Numerical
recipes in C, The art of scientific computing, 2nd edition, Cambridge
University Press, Cambridge 1992.
[6] G.Wolberg, "Digital Image Warping", IEEE Computer Society Press,
Los Alamitos, CA, 1990.
[7] J.C.Bezdek, L.O.Hall, L..P.Clarke, review of MR image segmentation
techniques using pattern recognition", Med.Phys. 20 (4) (1993) pp
1033-1048.
[8] R.P.Woods, J.C.Mazziotta, S.R. Cherry, "MRI-PET registration with
automated algorithm", J. Comput. Assist. Tomogr. 17 (4) (1993) pp536-
546.
[9] J.Kybic, P. Thevenaz, A. Nirkko, M.Unser, "Unwarping of
unidirectionally distorted EPI images", IEEE Transactions on Medical
Imaging, vol.19, no.2, pp80-93, Feb. 2000.
[1] P.Kotsas, S. Malasiotis, M. Strintzis,D.W.Piraino and J.F.Cornhill, "A
fast and accurate method for registration of MR images of the head",
International Journal of Medical Informatics 52(1998) pp167-182.
[2] J. Kybic and M. Unser, "Fast parametric elastic image registration",
IEEE Transactions on Image Processing Vol 12, No 11, Nov 2003, pp
1427-1442
[3] L.O.Hall, A.M.Bensaid, L.P.Clarke, R.P.Velthuizen, M.L. Silbiger et.
Al. " A comparison of neural networks and fuzzy clustering techniques
in segmenting magnetic resonance images of the brain, IEEE Trans.
Neural Netw. 2 (1992), pp672-683.
[4] B.Zitova, J. Flusser, :Image registration methods: A survey", Image and
Vision Computing 21 (2003) pp977-1000
[5] W.H.Press, S.A.Teukolsky, W.T.Vetterling, B.P.Flannery, Numerical
recipes in C, The art of scientific computing, 2nd edition, Cambridge
University Press, Cambridge 1992.
[6] G.Wolberg, "Digital Image Warping", IEEE Computer Society Press,
Los Alamitos, CA, 1990.
[7] J.C.Bezdek, L.O.Hall, L..P.Clarke, review of MR image segmentation
techniques using pattern recognition", Med.Phys. 20 (4) (1993) pp
1033-1048.
[8] R.P.Woods, J.C.Mazziotta, S.R. Cherry, "MRI-PET registration with
automated algorithm", J. Comput. Assist. Tomogr. 17 (4) (1993) pp536-
546.
[9] J.Kybic, P. Thevenaz, A. Nirkko, M.Unser, "Unwarping of
unidirectionally distorted EPI images", IEEE Transactions on Medical
Imaging, vol.19, no.2, pp80-93, Feb. 2000.
@article{"International Journal of Medical, Medicine and Health Sciences:62489", author = "Panos Kotsas and Tony Dodd", title = "Rigid and Non-rigid Registration of Binary Objects using the Weighted Ratio Image", abstract = "This paper presents the application of a signal intensity
independent similarity criterion for rigid and non-rigid body
registration of binary objects. The criterion is defined as the
weighted ratio image of two images. The ratio is computed on a
voxel per voxel basis and weighting is performed by setting the raios
between signal and background voxels to a standard high value. The
mean squared value of the weighted ratio is computed over the union
of the signal areas of the two images and it is minimized using the
Chebyshev polynomial approximation.", keywords = "rigid and non-rigid body registration, binary objects", volume = "6", number = "5", pages = "179-3", }