References

Baia, E.W., J.R. Bennett, R. McCabe, M.J. Sharafuddin and H. Baic et al., 2006. Study of an adaptive bolus chasing CT angiography. J. X-Ray Sci. Technol., 14: 27-38.
Direct Link  |  

Bentoutou, Y. and N. Taleb, 2005. Automatic extraction of control points for digital subtraction angiography image enhancement. IEEE Trans. Nuclear Sci., 52: 238-246.
CrossRef  |  Direct Link  |  

Bentoutou, Y., N. Taleb, M. Chikr El Mezouar, M. Taleb and L. Jetto, 2002. An invariant approach for image registration in digital subtraction angiography. J. Patt. Recognit. Soc., 35: 2853-2865.
CrossRef  |  

Bismuth, V., R. Vaillant, F. Funck, N. Guillard and L. Najman, 2011. A comprehensive study of stent visualization enhancement in X-ray images by image processing means. Med. Imag. Anal., 15: 565-576.
CrossRef  |  PubMed  |  Direct Link  |  

Blondel, C., G. Malandain, R. Vaillant and N. Ayache, 2006. Reconstruction of coronary arteries from a single rotational x-ray projection sequence. IEEE Trans. Med. Imag., 25: 653-663.
CrossRef  |  PubMed  |  Direct Link  |  

Chen, S.J. and J.D. Carroll, 2000. 3-D reconstruction of coronary arterial tree to optimize angiographic visualization. IEEE Trans. Med. Imaging, 19: 318-336.
CrossRef  |  

De Lin, M., L. Ning, C.T. Badea, N.N. Mistry, Y. Qi and G.A. Johnson, 2008. A high-precision contrast injector for small animal x-ray digital subtraction angiography. IEEE Trans. Biomed. Eng., 55: 1082-1091.
CrossRef  |  

Franchi, D., P. Gallo, L. Marsili and G. Placidi, 2009. A shape-based segmentation algorithm for X-ray digital subtraction angiography images. Comput. Methods Prog. Biomed., 94: 267-278.
CrossRef  |  Direct Link  |  

Gil, D., O. Rodriguez-Leor, P. Radeva and J. Mauri, 2008. Myocardial perfusion characterization from contrast angiography spectral distribution. IEEE Trans. Med. Imaging, 27: 641-649.
CrossRef  |  

Hansis, E., D. Schafer, O. Dossel and M. Grass, 2008. Evaluation of iterative sparse object reconstruction from few projections for 3-D rotational coronary angiography. IEEE Trans. Med. Imaging, 27: 1548-1555.
CrossRef  |  

Katzen, B.T., 1995. Current status of digital angiography in vascular imaging. Radiol. Clin. North Am., 33: 1-14.
Direct Link  |  

Pouladian, M., M.R.H. Golpayegani, A.A. Tehrani-Fard and M. Bubvay-Nejad, 2005. Noninvasive detection of coronary artery disease by arterio-oscillo-graphy. IEEE Trans. Biomed. Eng., 32: 743-747.
PubMed  |  Direct Link  |  

Puentes, J., C. Roux, M. Garreau and J.L. Coatrieux, 1998. Dynamic feature extraction of coronary artery motion using DSA image sequences. IEEE Trans. Med. Imaging, 17: 857-871.
CrossRef  |  

Sato, Y., T. Araki, M. Hanayama, H. Naito and S. Tamura, 1998. A viewpoint determination system for stenosis diagnosis and quantification in coronary angiographic image acquisition. IEEE Trans. Med. Imaging, 17: 121-137.
Direct Link  |  

Shechter, G., B. Shechter, J.R. Resar and R. Beyar, 2005. Prospective motion correction of x-ray images for coronary interventions. IEEE Trans. Med. Imag., 24: 441-450.
CrossRef  |  PubMed  |  Direct Link  |  

Taleb, N., Y. Bentoutou, O. Deforges and M. Taleb, 2001. A 3D space-time motion evaluation for image registration in digital subtraction angiography. Comput. Med. Imaging Graph., 25: 223-233.
CrossRef  |  

Umarani, A. and A. Asha, 2012. A novel approach to automatic digitization and subtraction of x- ray image for percutaneous coronary artery using virtual instrumentation. Eur. J. Sci. Res., 84: 582-591.

Zana, F. and J.C. Klein, 2001. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation. IEEE Trans. Image Proces., 10: 1010-1019.
CrossRef  |  PubMed  |  

Zou, P., P. Chan and P. Rockett, 2009. A model-based consecutive scanline tracking method for extracting vascular networks from 2-D digital subtraction angiograms. IEEE Trans. Med. Imaging, 28: 241-249.
CrossRef  |