• DocumentCode
    139682
  • Title

    Learning ultrasound gesture database: Building and application to musculoskeletal ultrasound exams

  • Author

    Ourahmoune, Amel ; Hamitouche, C. ; Larabi, Slimane

  • Author_Institution
    Inst. Mines-Telecom, Telecom Bretagne, Brest, France
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1809
  • Lastpage
    1812
  • Abstract
    Our aim is to develop a frame work for virtually learning the ultrasound exams. In this paper we address the method used to build the image database required for this frame work. The used materiel and the proposed methodology are presented and explained. The realized prototype has been used to build the database of ultrasound images.
  • Keywords
    biomedical ultrasonics; bone; learning (artificial intelligence); medical diagnostic computing; muscle; virtual reality; musculoskeletal ultrasound exams; ultrasound gesture database; ultrasound image database; virtual learning; Databases; Elasticity; Force; Probes; Three-dimensional displays; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943960
  • Filename
    6943960