• 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