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
Link To Document :
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