Name
Title | ||
|---|---|---|
Segmentation Of 3d Rf Echocardiography Using A Joint Spatio-Temporal Predictor And Signal Intensity Model |
Abstract | ||
|---|---|---|
We present an approach for left ventricular segmentation of radio-frequency (RF) ultrasound sequences. Our method employs an independent identically distributed (iid) spatial model for RF voxel intensity and a conditional model relating a subsequent frame in the image sequence to the frame being segmented by means of a linear predictor that exploits spatio-temporal coherence in the data. The conditional model overcomes segmentation problems due to image inhomogeneity issues, while the spatial model overcomes a tendency of the conditional model to underestimate the blood pool. The method is validated by comparison with manual tracings, segmentations performed using Chan-Vese level sets, and by segmentations leveraging only the linear predictor. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872490 | 2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO |
Keywords | Field | DocType |
Radio-frequency ultrasound, cardiac segmentation, level set algorithms | Voxel,Computer vision,Pattern recognition,Segmentation,Computer science,Level set,Linear prediction,Image segmentation,Coherence (physics),Radio frequency,Artificial intelligence,Image sequence | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.37 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul C. Pearlman | 1 | 7 | 2.23 |
| Hemant D. Tagare | 2 | 485 | 58.76 |
| Ben A. Lin | 3 | 54 | 6.34 |
| Albert J. Sinusas | 4 | 521 | 49.46 |
| James S. Duncan | 5 | 2973 | 466.48 |