Image Processing Reference
In-Depth Information
8.
Roche, A., Pennec, X., Malandain, G., and Ayache, N. (2001). Rigid registration
of 3-D ultrasound with MR images: A new approach combining intensity and
gradient information.
IEEE Trans. Med. Imaging
20: 1038-1049.
9.
Pluim, J.P.W., Maintz, J.B.A., and Viergever, M.A. (2003). Mutual-information-
based registration of medical images: a survey
.
IEEE Trans. Med. Imaging
. 22(8):
986-1004.
10.
Robb, R.A. (2000).
Biomedic Imaging, Visualization and Analysis
. Wiley-Liss,
New York.
11.
Santarelli, M.F., Positano, V., Michelassi, C., Lombardi, M., and Landini, L.
(2003). Automated cardiac MR image segmentation: theory and measurement
evaluation.
Medical Eng. Phys.
25(2): 149-159.
12.
Besl, P.J. and McKay, N.D. (1992). A method for registration of 3-D shapes.
IEEE
Transaction on Pattern Analysis and Machine Intelligence
. 14(2): 239-256.
13.
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., and Suetens, P. (1997).
Multimodality image registration by maximization of mutual information.
IEEE
Trans. Med. Imaging
16: 187-198.
14.
Wells, W.M., III, Viola, P., Atsumi, H., Nakajima, S., and Kikinis, R. (1996).
Multi-modal volume registration by maximization of mutual information.
Med.
Image Anal.
1: 35-51.
15.
Studholme, C., Hill, D.L.G., and Hawkes, D. (1999). An overlap invariant entropy
measure of 3-D medical image alignment.
Pattern Recognit.
32: 71-86.
16.
Grevera, G.J. and Udupa, J.K. (1998). An objective comparison of 3-D image
interpolation methods.
IEEE Trans. Med. Imaging
17(4).
17.
Lehmann, T.M., Gonner, C., and Spitzer, K. (1999). Survey: interpolation methods
in medical image processing.
IEEE Trans. Med. Imaging
18(11): 1049-1075.
18.
Thacker, N.A., Jackson, A., Moriarty, D., and Vokurka, B. (1999). Improved quality
of re-sliced MR images using re-normalised Sinc interpolation.
J Magn. Resonance
Imaging
10(4): 582-588.
19.
Pluim, J.P.W., Maintz, J.B.A., and Viergever, M.A. (2001). Mutual information
matching in multiresolution contexts.
Image Vis. Comput.
19(1): 45-52.
20.
Bernon, J.L., Boudousq, V., Rohmer, J.F., Fourcade, M., Zanca, M., Rossi, M.,
and Mariano-Goulart, D. (2001). A comparative study of Powell's and downhill
simplex algorithms for a fast multimodal surface matching in brain imaging.
Comput. Med. Imaging Graph.
25: 287-297.
21.
Powell, M.J.D. (1964). An efficient method of finding the minimum of a function
of several variables without calculating derivatives.
Comput. J.
7: 155-163.
22.
Maes, F., Vandermeulen, D., and Suetens, P. (1999). Comparative evaluation of
multiresolution optimization strategies for multimodality image registration by
maximization of mutual information.
Med. Image Anal.
3: 373-386.
23.
Nelder, J.A. and Mead, R. (1965). A simplex method for function minimization.
Comput. J.
7: 308-313.
24.
Matsopoulos, G.K., Mouravliansky, N.A., Delibasis, K.K., and Nikita, K.S. (1999).
Automatic retinal image registration scheme using global optimization techniques.
IEEE Trans. Inform. Technol. Biomed.
3: 47-60.
25.
Fogel, D.B. (2000).
Evolutionary Computation
. IEEE Press, New York.
26.
Wachowiak, M.P. and Elmaghraby, A.S. (2001). The continuous tabu search as
an optimizer for 2-D-to-3-D biomedical image registration.
Lecture Notes in
Computer Science,
W. Niessen and M. Viergever, Eds. New York: Springer-Verlag,
Proc. MICCAI 2001-2208, 1273-1274.
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