Biomedical Engineering Reference
In-Depth Information
[19] Hill, D., Studholme, C. and Hawkes, D., Voxel similarity measures for
automated image registration. In: Proceedings of Third Conference
Visualization in Biomedical Computing, SPIE, pp. 205-216, 1994.
[20] Collignon, A., Automated multi-modality image registration based on
information theory, in Bizais, Y. ed., In: Proceedings of Information Pro-
cessing in Medical Imaging Conference, Kluwer Academic Publishers,
Dordrecht, pp. 263-274, 1995.
[21] Collignon, A., Vandermuelen, D., Suetens, P., and Marchal, G., 3d multi-
modality medical image registration using feature space clustering,
Ayache, N. ed., In: Computer Vision, Virtual Reality and Robotics in
Medicine, Springer Verlag, Berlin, pp. 195-204, 1995.
[22] Pluim, J.P., Maintz, J.B.A. and Viergever, M.A., Mutual information-
based registration of medical images: A survey, IEEE Transactions on
Medical Imaging, Vol. 22, No. 8, pp. 986-1004, 2003.
[23] Laliberte, F., Gagnon, L. and Sheng, Y., Registration and fusion of retinal
images—An evaluation study, IEEE Transactions on Medical Imaging,
Vol. 22, No. 5, pp. 661-673, 2003.
[24] Peli, E., Augliere, R.A. and Timberlake, G.T., Feature-based registration
of retinal images, IEEE Transactions on Medical Imaging, Vol. 6, No. 2,
pp. 272-278, 1987.
[25] Yu, J.J.H., Hung, B.N. and Liou, C.L., Fast algorithm for digital retinal
alignment, Proc. IEEE Ann. Conf. Engineering Medicine Biology Soci-
ety, Vol 2, pp. 374-375, 1989.
[26] Cideciyan, A.V., Jacobson, S.G., Kemp, C.M., Knighton, R.W. and Nagel,
J.H., Registration of high resolution images of the retina, Proc. SPIE,
Vol. 1652, pp. 310-322, 1992.
[27] Hart, W.E. and Goldbaum, M.H., Registration of retinal images using
automatically selected control points, Proc. IEEE Int. Conf. Image Pro-
cessing, pp. 576-580, 1994.
[28] Matsopoulos, G.K., Mouravliansky, N.A., Delibasis, K.K. and Nikita,
K.S.,
Automatic
retinal
image
registration
scheme
using
global
