Name
Title | ||
|---|---|---|
Fast segmentation of ultrasound images using robust Rayleigh distribution decomposition |
Abstract | ||
|---|---|---|
The segmentation of left ventricle in ultrasound imaging of human heart would provide an important clinical parameter for the evaluation of cardiac functions including volume stroke or ejection fraction and wall motion tracking. We propose a fast segmentation method to reduce laborious manual efforts and conveniently provide robust and stable cardiac quantification to users. The proposed method provides a very simple energy functional form using a predetermined Rayleigh distribution parameter so that the corresponding steepest descent approach with some shape constraints on contour is still capable of fast segmentation. We present several experimental results on two-dimensional echocardiography data for the performance of the proposed model. The experiments show that the proposed model is especially useful when a part of target boundary is seriously corrupted. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.patcog.2012.02.026 | Pattern Recognition |
Keywords | Field | DocType |
stable cardiac quantification,rayleigh distribution parameter,ultrasound image,robust rayleigh distribution decomposition,fast segmentation,ejection fraction,corresponding steepest descent approach,important clinical parameter,cardiac function,fast segmentation method,rayleigh distribution,segmentation | Computer vision,Gradient descent,Scale-space segmentation,Pattern recognition,Segmentation,Artificial intelligence,Energy functional,Human heart,Match moving,Mathematics,Rayleigh distribution,Ultrasound | Journal |
Volume | Issue | ISSN |
45 | 9 | 0031-3203 |
Citations | PageRank | References |
3 | 0.43 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi Young Ahn | 1 | 9 | 3.50 |
| Yoon Mo Jung | 2 | 58 | 6.09 |
| Oh In Kwon | 3 | 4 | 1.82 |
| Jin Keun Seo | 4 | 376 | 58.65 |