Abstract | ||
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MR tagging has shown great promise for detailed noninvasive cardiac motion imaging. We consider here the use of low-frequency tags coupled with gradient-based optical flow estimation to compute cardiac motion. A multiple constraint optical flow method for tagged MRI is formulated by exploiting the Fourier content of the tagged images. The method is validated on simulated tagged data. |
Year | DOI | Venue |
---|---|---|
1997 | 10.1109/ICIP.1997.632119 | ICIP (3) |
Keywords | Field | DocType |
mr tagging,motion estimation,low-frequency tag,optical flow method,tagged mr imaging,great promise,— optical flow,bandpass optical flow,cardiac motion,cardiac tag- ging.,multiple constraint,fourier content,gradient-based optical flow estimation,detailed noninvasive cardiac motion,cardiology,fourier analysis,magnetic resonance imaging,brightness,optical flow,frequency,mri,optical imaging,pixel,low frequency | Mr imaging,Computer vision,Fourier analysis,Pattern recognition,Band-pass filter,Computer science,Fourier transform,Pixel,Artificial intelligence,Motion estimation,Optical flow,Magnetic resonance imaging | Conference |
ISBN | Citations | PageRank |
0-8186-8183-7 | 6 | 0.95 |
References | Authors | |
7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sandeep N. Gupta | 1 | 11 | 2.17 |
Jerry L. Prince | 2 | 4990 | 488.42 |
Stephanos Androutsellis-Theotokis | 3 | 529 | 23.38 |