DocumentCode
2338678
Title
Recognition of Finger Flexion from Ultrasound Image with Optical Flow: A Preliminary Study
Author
Shi, Jun ; Hu, Shu-Xian ; Liu, Zhi ; Guo, Jing-Yi ; Zhou, Yong-Jin ; Zheng, Yong-Ping
Author_Institution
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear
2010
fDate
23-25 April 2010
Firstpage
1
Lastpage
4
Abstract
Ultrasound imaging has been widely used to investigate the morphological changes during skeletal muscle contraction. In this study, the ultrasound images were recorded from extensor muscle during finger flexion, and the optical flow algorithm was used to recognize the muscle deformation for different fingers´ flexions. The preliminary results demonstrated that the directions of optical flow and deformation areas of muscle contraction at certain location were different for five fingers´ flexions. The proposed approach has the potential to classify finger flexion with the feature extraction from optical flow field.
Keywords
feature extraction; image sequences; medical image processing; ultrasonic imaging; extensor muscle; feature extraction; finger flexion recognition; muscle deformation recognition; optical flow algorithm; skeletal muscle contraction; ultrasound image; ultrasound imaging; Bioelectric phenomena; Biomedical optical imaging; Fingers; Image motion analysis; Image recognition; Magnetic resonance imaging; Muscles; Optical imaging; Optical recording; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5315-3
Type
conf
DOI
10.1109/ICBECS.2010.5462343
Filename
5462343
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