Biomedical Engineering Reference
In-Depth Information
[79] Yokoi, T., Iida, H., and Kanno, I., A comparative study of the three fast
algorithms to estimate cerebral blood flow and distribution volume
using N-isopropyl- p -[ 123 I]iodoamphetamine and two SPECT scans,
Phys. Med. Biol., Vol. 40, pp. 1499-1515, 1995.
[80] Blomqvist, G., On the construction of functional maps in positron emis-
sion tomography, J. Cereb. Blood Flow Metab., Vol. 4, pp. 629-632,
1984.
[81] Kety, S. S. and Schmidt, C. F., The nitrous oxide method for the quanti-
tative determination of cerebral blood flow in man: Theory, procedure,
and normal values, J. Clin. Invest., Vol. 27, pp. 476-483, 1948.
[82] Evans, A. C., A double integral form of the three-compartmental, four-
rate-constant model for faster generation of parameter maps, J. Cereb.
Blood Flow Metab., Vol. 7, No. suppl., p. S453, 1987.
[83] Feng, D., Wang, Z., and Huang, S. C., A study on statistically reliable
and computationally efficient algorithms for the measurement of local
cerebral blood flow with positron emission tomography, IEEE Trans.
Med. Imaging, Vol. 12, pp. 182-188, 1993.
[84] Feng, D. and Ho, D., Parametric imaging algorithm for multi-
compartmental models dynamic studies with positron emission to-
mography, In: Quantification of Brain Function: Tracer Kinetics and
Image Analysis in Brain PET, Uemura, K., Lassen, N. A., Jones,
T., and Kanno, I., eds., Elsevier Science, Amsterdam, pp. 127-136,
1993.
[85] Feng, D., Huang, S. C., Wang, Z., and Ho, D., An unbiased paramet-
ric imaging algorithm for non-uniformly sampled biomedical system
parameter estimation, IEEE Trans. Med. Imaging, Vol. 15, No. 4, pp.
512-518, 1996.
[86] Chen, K., Lawson, M., Reiman, E., Cooper, A., Feng, D., Huang, S. C.,
Bandy, D., Ho, D., Yun, L. S., and Palant, A., Generalized linear least
squares method for fast generation of myocardial blood flow paramet-
ric images with N-13 ammonia PET, IEEE Trans. Med. Imaging, Vol. 17,
pp. 236-243, 1998.
Search WWH ::




Custom Search