Biomedical Engineering Reference
In-Depth Information
displacement, Journal of Mathematical Imaging and Vision, Vol. 10,
No. 2, pp. 143-162, 1999.
[106] Pennec, X., Cachier, P., and Ayache, N., Understanding the demon's
algorithm : 3D non-rigid registration by gradient descent, In: Proc.
of Medical Image Computing and Computer-Assisted Intervention,
Taylor, C. and Colchester, A., eds., No. 1679 in Lecture Notes in
Computer Science, pp. 597-605, Springer, Cambridge, UK, September
1999.
[107] Pentland, A. and Sclaroff, S., Closed-form solutions for physically-
based shape modeling and recognition, IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol. 13, No. 7, pp. 715-729, 1991.
[108] Pluim, J., Maintz, J., and Viergever, M., Interpolation artefacts in mu-
tual information-based image registration, Computer Vision and Image
Understanding, Vol. 77, pp. 211-232, 2000.
[109] Pluim, J., Maintz, J., and Viergever, M., Mutual information match-
ing in multiresolution context, Image and Vision Computing, Vol. 19,
No. 1-2, pp. 45-52, 2001.
[110] Powell, M., An efficient method for finding the minimum of a func-
tion of several variables without calculating derivatives, The Computer
Journal, pp. 155-162, 1964.
[111] Press, W., Teukolsky, S., Vetterling, V., and Flannery, B., Numerical
Recipies in C, 2nd edn, Cambridge University Press, 1992.
[112] Reissman, P. J., and Magnin, I. E., The active pyramid : a new tool for
modelling 3D deformable object, International Journal Pattern Recog-
nition on Artificial Intelligence, Vol. 11, No. 7, pp. 1129-1139, 1997.
[113] Roche, A., Malandain, G., and Ayache, N., Unifying maximum likeli-
hood approaches in medical image registration, International Journal of
Imaging Systems and Technology: Special Issue on 3D Imaging, Vol. 11,
No. 1, pp. 71-80, 2000.
[114] Rohr, K., On 3D differential operators for detecting point landmarks,
Image and Vision Computing, Vol. 15, No. 3, pp. 219-233, 1997.
