Method for tomographic reconstruction with non-linear...

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C378S004000, C378S901000

Reexamination Certificate

active

07139420

ABSTRACT:
Techniques for tomographic reconstruction using non-linear diagonal estimators are disclosed. In a preferred embodiment, tomographic data from a tomographic device is decomposed in a wavelet vector family. Regularization of the tomographic data is accomplished by performing a thresholding operation on coefficients of the decomposed data. The regularized data is reconstructed into image data that may he displayed. In another preferred embodiment, a wavelet packet vector family is used to decompose the tomographic data. The wavelet packet is selected from a dictionary of wavelet packets using the best basis algorithm.

REFERENCES:
patent: 5841890 (1998-11-01), Kraske
patent: 5953388 (1999-09-01), Walnut et al.
Kalifa, J., et al., “Thresholding estimators for minimax restoration and deconvolution”, Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP '99), Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP '99), Antalaya, Turkey, Jun. 20-23, 1999, pp. 1-5, vol.
Kalifa, J., et al., “Image deconvolution in mirror wavelet bases”, Proceedings 1998 International Conference on Imag Processing. ICIP98 (CAT. No. 98CB36269), Proceedings of IPCIP '98 International Conference on Image Processing, Chicago, IL, USA, Oct. 4-7, 1998, pp. 565-569, vol. 1.

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