• DocumentCode
    2761884
  • Title

    Combined visualization of tumor and vessel geometry

  • Author

    Steen, E.N. ; Olstad, B. ; Berg, S. ; Myklebust, G. ; Schipper, K.P.

  • Volume
    3
  • fYear
    1994
  • fDate
    Oct. 31 1994-Nov. 3 1994
  • Firstpage
    1645
  • Abstract
    In vivo studies of the liver function have been conducted. The data acquisitions have utilized the TomTec Echoscan system to obtain 3D tissue data in addition to ECG and respiration triggered 4D angio and tissue data. Several different algorithmic tools were developed for visualization of tumor and vessel geometry. A fuzzy region growing technique was developed to segment the liver into different anatomical parts. A filtering algorithm was developed to smooth out local intensity variations within the vessels. Different volume rendering techniques were evaluated for visualization
  • Keywords
    biomedical ultrasonics; data visualisation; edge detection; image segmentation; liver; medical image processing; rendering (computer graphics); 3D tissue data; ECG; TomTec Echoscan system; anatomical parts; combined visualization; data acquisitions; filtering algorithm; fuzzy region growing technique; in vivo studies; liver function; liver segmentation; local intensity variations; respiration triggered 4D angio data; tissue data; tumor geometry; vessel geometry; volume rendering techniques; Biomedical acoustic imaging; Biomedical signal processing; Blood vessels; Image edge analysis; Image generation; Image region analysis; Liver; Tumors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 1994. Proceedings., 1994 IEEE
  • Conference_Location
    Cannes, France
  • Print_ISBN
    0-7803-2012-3
  • Type

    conf

  • DOI
    10.1109/ULTSYM.1994.401905
  • Filename
    401905