Name
Abstract | ||
|---|---|---|
We present a new method for reconstructing a 3D flow field from multiple 3D Pulsed Wave Doppler echo images. A weakness of Doppler imaging is that only a 1D projection of the true 3D velocity (parallel to the echo beam direction) is measured. We propose a method which uses registered multiple Doppler views to calculate 3D flow vectors using a Least Mean Squares (LMS) minimisation process. Flow is expressed in a B-Spline basis, which allows scalability, regularisation and incorporation of derivative-based physical constraints. We investigate the reconstruction accuracy with respect to the amount of regularisation. We report experiments on phantom data and real cardiac data from a healthy volunteer, where we reconstructed flow through mitral and aortic valves. Results show that 3D flow can be reconstructed with an accuracy of approximately 20% of the 95(th) percentile of the velocity projection with our method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872544 | 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO |
Keywords | Field | DocType |
Echocardiography, Fluid Flow Measurement, Flow Reconstruction, Multiple Views, Registration | Least mean squares filter,Iterative reconstruction,Spline (mathematics),Computer vision,Doppler imaging,Computer science,Imaging phantom,Minimisation (psychology),Artificial intelligence,Doppler effect,Image registration | Conference |
ISSN | Citations | PageRank |
1945-7928 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Gomez | 1 | 50 | 12.62 |
| John M Simpson | 2 | 6 | 1.99 |
| Cheng Yao | 3 | 28 | 3.38 |
| Tobias Schaeffter | 4 | 472 | 51.54 |
| Graeme P. Penney | 5 | 987 | 90.21 |