Author:
Kulathilake K. A. S. H.,Ranathunga L.,Constantine G. R.,Abdullah N. A.
Publisher
Springer Berlin Heidelberg
Reference11 articles.
1. Wong, J.T., Le, H., Suh, W.M., Chalyan, D.A., Mehraien, T., Kern, M.J., Kassab, G.S., Molloi, S.: Quantification of Fractional Flow Reserve based on Angiographic Image Data. Int. J. Cardiovasc Imaging 28(1), 13–22 (2012)
2. Tonino, P.A.L., Fearon, W.F., DeBruyne, B., Oldroyd, K.G., Leesar, M.A., Lee, P.N.V., MacCarthy, P.A., van’t Veer, M., Pijls, N.H.J.: Angiographic Versus Functional Severity of Coronary Artery Stenoses in the FAME Study Fractional Flow Reserve Versus Angiography in Multivessel Evaluation. J. Am. Coll. Cardiol. 55(25), 2816–2821 (2010)
3. Takagi, A., Tsurumi, Y., Magosaki, N., Suzuki, K., Nakamura, K., Kasanuki, H.: Significance of Angiographic Haziness at the Distal Stent Edge: Aanalysis by Intravascular Ultrasound and Quantitative Coronary Angiography. J. Cardiol. 33(6), 307–316 (1999)
4. Khan, M.A.U., Khan, R.B., Bilal, S., Jamil, A., Shah, M.A.: Enhancement of Angiogram Images Using Pseudo Color Processing. Information Technology Journal 7(1), 210–214 (2008)
5. Lee, T.-F., Lee, C.-Y., Chao, P.-J., Lee, C., Wang, C.-Y., Fang, C.-H.: Quantitative Coronary Analysis Medical Image Processing Improved by Combining Wavelet Edge Detection and Segmentation. In: 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), pp. 1196–1199 (2009)