Name
Title | ||
|---|---|---|
Clustering And Estimation Of 2-D Motion Fields In Ultrasonic Images Based On Regression Characteristics With Respiratory Signals |
Abstract | ||
|---|---|---|
We estimated the instantaneous 2-D motion field in ultrasonic images of internal organs. Iida et al. proposed an algorithm based on the correlation between respiration and the motion of internal organs[2], in which, motion is represented as a regression model with respect to the respiratory signal and is independently estimated in each pixel. In this paper, it is assumed that motion has a multimodal distribution, thereby reducing the number of unknown parameters, and hence improving the accuracy of the estimated motion. We constructed a computationally stable estimation algorithm based on this assumption, and verified the applicability of the proposed technique by comparison with the conventional methods through experiments on both synthetic and real image data. |
Year | Venue | DocType |
|---|---|---|
2002 | PROCEEDINGS OF THE 6TH JOINT CONFERENCE ON INFORMATION SCIENCES | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takuya Kitazawa | 1 | 0 | 0.34 |
| Norio Tagawa | 2 | 41 | 16.60 |
| Akihiro Minagawa | 3 | 26 | 8.43 |
| Tadashi Moriya | 4 | 3 | 1.86 |
| Shin-ichi Minohara | 5 | 0 | 0.34 |