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
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