Name
Title | ||
|---|---|---|
Continuous thickness measurement of rectus femoris muscle in ultrasound image sequences: A completely automated approach. |
Abstract | ||
|---|---|---|
•We propose a novel method to continuously detect the muscle thickness automatically in ultrasound images.•The correlation coefficient of the detection results between the proposed method and manual method is 0.95±0.01, and the difference is −0.05±0.22mm, with linear aggression (R2=0.981).•We provide an accurate, high repeatable and efficient approach for estimating fascicle thickness during human motion.•The method has wide application in biological sciences. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.bspc.2013.07.007 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Muscle thickness,Continuous measurement,Ultrasound image,Optical flow | Fascicle,Correlation coefficient,Computer vision,Rectus femoris muscle,Human motion,Artificial intelligence,Optical flow,Mathematics,Ultrasound image,Linear regression,Ultrasound | Journal |
Volume | Issue | ISSN |
8 | 6 | 1746-8094 |
Citations | PageRank | References |
2 | 0.44 | 4 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiaoliang Li | 1 | 191 | 20.41 |
| Suwen Qi | 2 | 11 | 2.40 |
| Hui-sheng Zhang | 3 | 159 | 24.84 |
| Yun Deng | 4 | 2 | 0.44 |
| Xin Chen | 5 | 10 | 9.01 |
| Si-Ping Chen | 6 | 265 | 37.25 |
| Tianfu Wang | 7 | 382 | 55.46 |