DocumentCode
643678
Title
A novel strategy for the visualization of cross-sectional skeletal muscle contraction
Author
Jizhou Li ; Yongjin Zhou ; Andong Wang ; Lei Wang ; Yong-Ping Zheng
Author_Institution
Shenzhen Inst. of Adv. Technol., Shenzhen, China
fYear
2013
fDate
5-8 Aug. 2013
Firstpage
1
Lastpage
5
Abstract
In recent years, ultrasound imaging have been widely used to assess human muscle. Quantitative ultrasound can provide objective information about muscle architectures and changes of motion pattern during muscle contraction. However, there are few reports about the visualization of cross-sectional skeletal muscle motion using descriptive color coding strategy. In this study, ultrasound images were recorded from right quadriceps femoris muscle during isometric knee extension, and a motion estimation method based on a theory for warping was used to compute morphological changes of muscle during contraction. Then a novel color coding strategy, which agrees with the established directing rules in medical imaging, was applied to present the motion field. In comparison with the traditional color coding method, the new strategy was more capable of providing detailed information about the velocity and morphological changes in different region of muscle intuitively. The proposed approach has the potential to be applied for the functional understanding and segmentation of various muscle sections.
Keywords
biomedical ultrasonics; bone; data visualisation; image colour analysis; medical image processing; motion estimation; muscle; orthopaedics; color coding method; color coding strategy; cross sectional skeletal muscle contraction visualization; cross-sectional skeletal muscle motion; human muscle; isometric knee extension; medical imaging; motion estimation method; motion pattern; muscle architectures; muscle contraction; quadriceps femoris muscle; ultrasound imaging; Biomedical optical imaging; Image color analysis; Muscles; Optical imaging; Torque; Ultrasonic imaging; motion estimation; quadriceps femoris muscle; ultrasound;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location
KunMing
Type
conf
DOI
10.1109/ICSPCC.2013.6663972
Filename
6663972
Link To Document