Biomedical Engineering Reference
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[85] Battle, X. L., Bizais, Y. J., Rest, C. L., and Turzo, A., Tomographic re-
construction using free-form deformation models, In: Medical Imag-
ing: Image Processing, Hanson, K. M., ed., Vol. 3661, pp. 356-367, SPIE,
1999.
[86] Battle, X. L., LeRest, C., Turzo, A., and Bizais, Y., Three-dimensional
attenuation map reconstruction using geometrical models and free-
form deformations, IEEE Trans. Med. Imaging, Vol. 19, No. 5, pp. 404-
411, 2000.
[87] Mohammad-Djafari, A., Sauer, K., Khayi, Y., and Cano, E., Reconstruc-
tion of the shape of a compact object from a few number of projections,
In: IEEE International Conference on Image Processing (ICIP), Vol. 1,
pp. 165-169, 1997.
[88] Caselles, V., Kimmel, R., and Sapiro, G., Geodesic active contours, In:
5th Int. Conf. on Comp. Vision, pp. 694-699, IEEE, IEEE Computer
Society Press, 1995.
[89] Santosa, F., A level-set approach for inverse problems involving obsta-
cles, European Series in Applied and Industrial Mathematics: Control
Optimization and Calculus of Variations, Vol. 1, pp. 17-33, 1996.
[90] Dorn, O., Miller, E. L., and Rappaport, C., A shape reconstruction
method for electromagnetic tomography using adjoint fields and level
sets, Inverse Prob.: Special issue on Electromagnetic Imaging and In-
version of the Earth's Subsurface (Invited Paper), Vol. 16, pp. 1119-
1156, 2000.
[91] Dorn, O., Miller, E. L., and Rappaport, C., Shape reconstruction in 2D
from limited-view multi-frequency electromagnetic data, AMS series
Contemp. Math., Vol. 278, pp. 97-122, 2001.
[92] Chan, T. F. and Vese, L. A., A level set algorithm for minimizing the
Mumford-Shah functional in image processing, Tech. Rep. CAM 00-
13, UCLA, Department of Mathematics, 2000.
[93] Tsai, A., Yezzi, A., and Willsky, A., A curve evolution approach to
smoothing and segmentation using the Mumford-Shah functional, In:
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