Geodesic
The image reconstruction in cardial emission tomography
Matematičeskoe modelirovanie, Tome 19 (2007) no. 1, pp. 104-116.

Voir la notice de l'article provenant de la source Math-Net.Ru

@article{MM_2007_19_1_a6,
     author = {N. V. Denisova},
     title = {The image reconstruction in cardial emission tomography},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {104--116},
     publisher = {mathdoc},
     volume = {19},
     number = {1},
     year = {2007},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2007_19_1_a6/}
}
TY  - JOUR
AU  - N. V. Denisova
TI  - The image reconstruction in cardial emission tomography
JO  - Matematičeskoe modelirovanie
PY  - 2007
SP  - 104
EP  - 116
VL  - 19
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/MM_2007_19_1_a6/
LA  - ru
ID  - MM_2007_19_1_a6
ER  - 
%0 Journal Article
%A N. V. Denisova
%T The image reconstruction in cardial emission tomography
%J Matematičeskoe modelirovanie
%D 2007
%P 104-116
%V 19
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/MM_2007_19_1_a6/
%G ru
%F MM_2007_19_1_a6
N. V. Denisova. The image reconstruction in cardial emission tomography. Matematičeskoe modelirovanie, Tome 19 (2007) no. 1, pp. 104-116. http://geodesic.mathdoc.fr/item/MM_2007_19_1_a6/

[1] Tsui B. M. W., Zhao X. D., Gregoriou C. D., Lalush D. S., Frey E. C., Johnston R. E., McCartney W. H., “Quantita-tive cardiac SPECT reconstruction with reduced image degradation due to patient anatomy”, IEEE Trans Nucl. Sci., 41 (1994), 2838–2848 | DOI

[2] Hoffman E. J., Cutler P. D., Digby W. M., Mazziotta J. C., “3-D phantom to simulate cerebral blood flow and metabolic images for PET”, IEEE Trans. Nucl. Sci., 37 (1990), 616–620 | DOI

[3] Formiconi A. R., Passeri A., Calvini P., IEEE Trans. Nucl. Scien., 46:4 (1999), 1075–1080 | DOI | MR

[4] King M. A, Tsui B. M. W, Pan T-S., “Attenuation compensation for cardiac single-photon emission computed tomo-graphic imaging”, J. Nucl. Card, 2 (1995), 513–524 | DOI

[5] Tikhonov A. N., Arsenin V. Ya., Metody resheniya nekorrektnykh zadach, Nauka, M., 1979 | MR

[6] Preobrazhenskii N. G., Pikalov V. V., Neustoichivye zadachi diagnostiki plazmy, Nauka, Novosibirsk, 1982

[7] Nunez J., Llacer J., “A fast Bayesian reconstruction algorithm for emission tomography with entropy prior con-verging to feasible images”, IEEE Trans. Med. Imag., 9 (1990), 159–171 | DOI

[8] Lalush D. S., Frey E. C.,Tsui B. M. W., “Fast Maximum Entropy Approximation in SPECT Using the RBI-MAP Algorithm”, IEEE Trans. Med. Imag., 19 (2000), 286–294 | DOI

[9] Denisova N. V., IEEE Trans. Nucl. Sci., 51:1 (2004), 136–141 | DOI

[10] Nuyts J., Fessler J. A., “A penalized-likelihood image reconstruction method for emission tomography, com-pared to post-smoothed maximum-likelihood with matched spatial resolution”, IEEE Trans Med. Imaging, 22 (2003), 1042–1052 | DOI

[11] Panin V. Y., Zeng G. L., Gullberg G. T., “Regularized iterative reconstruction in tensor tomography using gradient constraints”, IEEE Trans Nucl Sci., 49 (2002), 2387–2393 | DOI

[12] Jaynes E. T., “On the rationale of Maximum-Entropy Methods”, Proceed. of the IEEE, 70 (1982), 939–952 | DOI

[13] Frieden B. R., “Restoring with Maximum Likelihood and Maximum Entropy”, J. of Opt. Soc. Am., 62 (1972), 511 | DOI

[14] Gull S. F., Daniell G. J., “Image reconstruction from incomplete and noisy data”, Nature, 272 (1978), 686 | DOI