• DocumentCode
    2153232
  • Title

    A task-specific contour tracker for ultrasound

  • Author

    Akgul, Yusuf Sinan ; Kambhamettu, Chandra ; Stone, Maureen

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Delaware Univ., Newark, DE, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    135
  • Lastpage
    142
  • Abstract
    One way of dealing with the problems of computerized analysis of ultrasound images is to develop task-specific systems, which allows assumptions about the structures under consideration. Here, the authors introduce a new ultrasound contour tracker, tonTrak, for the mid-sagital and coronal ultrasound image sequences of the human tongue. tonTrak makes assumptions about the ultrasound modality and possible positions of the tongue inside the vocal tract. It also provides intuitive and user friendly ways of interaction with the user, a crucial feature for a medical software system. tonTrak is fundamentally different from the previous tongue tracking systems. It is based on the minimization of a deformable dual-mesh energy using a novel gradient descent technique that provides a way of efficiently imposing both spatial and temporal constraints at the same time. This new energy optimization method does not need contour initialization and it is robust against local minima. Numerous experiments and user feedback verified the efficiency and accuracy of the system. It is currently being used by speech and swallowing scientists
  • Keywords
    biological organs; biomedical ultrasonics; image sequences; medical image processing; minimisation; computerized analysis; coronal ultrasound image sequences; deformable dual-mesh energy minimization; energy optimization method; gradient descent technique; human tongue; medical diagnostic imaging; midsagital ultrasound image sequences; spatial constraints; speech scientists; swallowing scientists; task-specific contour tracker; task-specific systems; temporal constraints; tonTrak; user feedback; Biomedical imaging; Feedback; Humans; Image analysis; Image sequences; Optimization methods; Robustness; Software systems; Tongue; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mathematical Methods in Biomedical Image Analysis, 2000. Proceedings. IEEE Workshop on
  • Conference_Location
    Hilton Head Island, SC
  • Print_ISBN
    0-7695-0737-9
  • Type

    conf

  • DOI
    10.1109/MMBIA.2000.852370
  • Filename
    852370