Document Type : Review Article
Authors
Abstract
In this paper a new implementation of CMOS ripple comparator cell using the Gate-Diffusion Input (GDI) technique is presented. The proposed design using this technique allows for the reduction of power consumption, propagation delay, and the area of digital circuits while maintaining low complexity of logical design. The performance comparison with standard CMOS and GDI logic design techniques is presented. These methods are compared with respect to the number of devices, PDP, and power dissipation. Simulation results confirm that the proposed cell can work at low supply voltage and dissipates low power.
Keywords
[1] Niki N, Kawata Y, Sato H, Kumazaki T; “3d
imaging of blood vessels using x-ray
rotational angiographic system”, IEEE Med.
Imaging Conf. Vol. 3, pp. 1873–1877, 1993.
[2] Nekovei N, Sun Y; “Back-propagation
network and its configuration for blood
vessel detection in angiograms”, IEEE
Trans. on Neural Nets, Vol. 6, pp. 64–72,
January 1995.
[3] Chanwimaluang T, Fan G; “An efficient
blood vessel detection algorithm for retinal
images using local entropy thresholding”,
In Proc. of the IEEE Intl. Symp. on Circuits
and Systems,2003.
[4] Molina C, Prause G, Radeva P, Sonka M; “3-
d catheter path reconstruction from
biplane angiograms”, in SPIE, Vol. 3338,
pp. 504–512, 1998.
[5] Klein A. K, Lee F, Amini A. A;
“Quantitative coronary angiography with
deformable spline models”, IEEE Trans. on
Med. Img. , Vol. 16, pp. 468–482, October
1997.
[6] Klein A, Egglin T. K, Pollak J. S, Lee F
,Amini A; “Identifying vascular features
with orientation specific filters and b-spline
snakes”, in IEEE Computers in Cardiology,
pp. 113–116, 1994.
[7] Gonzalez R. C, Woods R. E, Digital Image
Processing, Pearson Education Publishing,
2002.
[8] Chaudhuri S, Chatterje S, Katz N, Nelson M,
GOLDBAUM M; “Detection of blood
vessels in retinal images using twodimensional
matched filter”, IEEE Trans
.Med .Imaging , Vol. 8, pp.263-269, 1989.
[9] Lin C. Y, Ching Y. T; “Extraction of
Coronary arterial tree using Cine X-ray
Angiograms”, Biomed Eng Appl Basis
Comm, 2005(June); 17: 111-120.
[10] kanade G. B, Savithri T. S, Subbaiah P. V;
“Segmentation of Vessels in Fundus Images
using Spatially Weighed Fuzzy C-means
Clustering Algorithm”, IJCSNS
International Journal of Computer Science and
Network Security, Vol. 7 No. 12, December
2007.
)