Title | ||
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Multiview diffeomorphic registration: application to motion and strain estimation from 3D echocardiography. |
Abstract | ||
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This paper presents a new registration framework for quantifying myocardial motion and strain from the combination of multiple 3D ultrasound (US) sequences. The originality of our approach lies in the estimation of the transformation directly from the input multiple views rather than from a single view or a reconstructed compounded sequence. This allows us to exploit all spatiotemporal information available in the input views avoiding occlusions and image fusion errors that could lead to some inconsistencies in the motion quantification result. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1016/j.media.2013.01.002 | Medical Image Analysis |
Keywords | Field | DocType |
Spatiotemporal registration,Strain,3D ultrasound,Multiview,Fusion | Computer vision,Pattern recognition,Image fusion,Vector field,Robustness (computer science),Ground truth,Artificial intelligence,A-weighting,Smoothness,3D ultrasound,Mathematics,Infinitesimal strain theory | Journal |
Volume | Issue | ISSN |
17 | 3 | 1361-8415 |
Citations | PageRank | References |
4 | 0.65 | 20 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
G Piella | 1 | 366 | 43.86 |
M De Craene | 2 | 411 | 41.85 |
Constantine Butakoff | 3 | 336 | 32.52 |
Vicente Grau | 4 | 38 | 12.23 |
Cheng Yao | 5 | 28 | 3.38 |
Shahrum Nedjati-gilani | 6 | 13 | 1.31 |
Graeme P. Penney | 7 | 987 | 90.21 |
Alejandro F. Frangi | 8 | 4333 | 309.21 |