| Cardiac
and MR Angiography Image Processing Hall C |
| M 2177. The Application of Subvoxel Coregistration in Subtraction Venography: A Comparison with Non-Registered Data, D. Brennan, D.M. Hadley and B.R. Condon, Southern General Hospital, Glasgow, UK. |
| T 2178. An Automatic Registration Algorithm for Cardiac MR Perfusion Analysis, S.N. Gupta, T.K.F. Foo, F. Epstein and A.E. Arai, GE Medical Systems, Waukesha, WI, USA and National Institutes of Health, Bethesda, MD, USA. |
| W 2179. Intensity Correction of Phased-Array Coils Modulations for Cardiac Perfusion MR Analysis, J.E. Siebert, M.C. DeLano, J.D. Eisenberg and J.A. Gift, Michigan State University, East Lansing, MI, USA. |
| Th 2180. Analysis of Multiscale Line Enhancement Filter Differentiation of Vessel and Background Voxels in Time-of-Flight MRA, B.E. Chapman and D.L. Parker, University of Utah, Salt Lake City, UT, USA. |
| M 2181. Vessel Segmentation of 3D MR Angiography Using Time Resolved Acquisition Curves, Y. Mazaheri, T.J. Carroll, C.A. Mistretta, F.R. Korosec and T.M. Grist, University of Wisconsin, Madison, WI, USA. |
| T 2182. A Novel Method for Method for MR Arterial and Venous Discrimination Using Gated Phase Contrast and VENC Selection, T.K.F. Foo, V.B. Ho, M.N. Hood, J.M. Czum, S.D. Wolff, Y. Zhang and P.L. Choyke, GE Medical Systems, Milwaukee, WI, USA; Uniformed Services University of the Health Sciences, Bethesda, MD, USA; Integrated Cardiovascular Therapeutics, LLC, Woodbury, NY, USA and National Institutes of Health, Bethesda, MD, USA. |
| W 2183. Feasibility of Automated Separation of Arteries and Veins Using a Graph Searching Technique, M. Sonka, R. Stefancik and S. Tadikonda, The University of Iowa, Iowa City, IA, USA and EPIX Medical Inc, Cambridge, MA, USA. |
| Th 2184. Visualization of 4-Dimensional Blood Flow with Cardiovascular Magnetic Resonance Imaging, C.Y. Hong, M.E. Brummer, A. Ensley, G.P. Chatzimavroudis, S. Sharma, T.M. Healy, A.P. Yoganathan and R.I. Pettigrew, Emory University School of Medicine, Georgia Institute of Technology and Henrietta Egleston Children's Hospital, Atlanta, GA, USA. |
| M 2185. Semi-Automatic Assessment of Renal Artery Stenosis, M. Zhang, Q. Chen, P.V. Prasad and R.R. Edelman, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA. |