• DocumentCode
    3035828
  • Title

    A novel volumetric feature extraction technique, with applications to MR images

  • Author

    Ashton, Edward A. ; Parker, Kevin J. ; Berg, Michel J. ; Chen, Chang Wen

  • Author_Institution
    Dept. of Electr. Eng., Rochester Univ., NY, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    564
  • Abstract
    The in vivo morphological and volumetric analysis of biological structures is a topic which is of increasing interest in the medical community. Such an analysis requires the extraction of the feature of interest from volumetric magnetic resonance (MR), ultrasound (US) or computed tomography (CT) scans. The difficulty of this extraction varies with the modality used and the morphology of the structure of interest, but in many cases current practice requires the manual outlining of the structure on each slice of the scanned volume-a time consuming and tedious task. We seek to provide an automated algorithm which accomplishes this task with minimal a priori knowledge and operator input and with an accuracy which is comparable to that of the current manual and semi-automated techniques
  • Keywords
    biomedical NMR; edge detection; feature extraction; image recognition; medical image processing; MR images; biological structures; computed tomography scan; in vivo analysis; morphological analysis; outlining; ultrasound scan; volumetric analysis; volumetric feature extraction technique; volumetric magnetic resonance; Computed tomography; Deformable models; Feature extraction; Image analysis; Image segmentation; In vivo; Magnetic analysis; Nervous system; Surface morphology; Surface tension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537697
  • Filename
    537697