DocumentCode :
2821225
Title :
Muscle injury determination by image segmentation
Author :
Ding, Jian-Jiun ; Wang, Yu-Hsiang ; Hu, Lee-Lin ; Chao, Wei-Lun ; Shau, Yio-Wha
Author_Institution :
Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Clinical examination of Congenital Muscular Torticollis (CMT) is often carried out by ultrasound equipments. However, a variety of subjective factors during diagnosis may result in wrong decision. Thus, we propose an image processing algorithm to derive the objective judgment on the healthiness of muscle in this paper. We first apply image segmentation technique, such as the fast scanning algorithm, for ultrasonic muscle image segmentation. Then, the proposed algorithms are applied to determine the healthiness of muscle fibers. We furthermore propose a score criterion to evaluate the degree of injury. The experimental results show that the injury score measured by the proposed methods can successfully determine whether the muscle is hurt and infer the extent of fibrosis.
Keywords :
image segmentation; injuries; muscle; patient diagnosis; ultrasonic imaging; clinical examination; congenital muscular torticollis; fibrosis extent; image processing; muscle fibers healthiness; muscle injury determination; objective judgment; scanning algorithm; ultrasonic muscle image segmentation; ultrasound equipments; wrong decision diagnosis; Acoustics; Correlation; Image segmentation; Injuries; Mice; Muscles; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
Type :
conf
DOI :
10.1109/VCIP.2011.6115925
Filename :
6115925
Link To Document :
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