• DocumentCode
    544584
  • Title

    4D Connected component labelling applied to quantitative analysis of MS lesion temporal development

  • Author

    Metcalf, David ; Kikinis, Ron ; Guttmann, Charles ; Vaina, Lucia ; Jolesz, Ferenc

  • Author_Institution
    Dept. of Biomed. Eng., Boston Univ., Boston, MA, USA
  • Volume
    3
  • fYear
    1992
  • fDate
    Oct. 29 1992-Nov. 1 1992
  • Firstpage
    945
  • Lastpage
    946
  • Abstract
    We have developed a 4D connected component labeling algorithm to identify automatically individual lesions on MRI brain images of multiple sclerosis patients, and to follow the changes in each lesion over time. We were also able to use this algorithm as a noise reduction filter to remove misclassified components from the binarized segmentations of the images.
  • Keywords
    biomedical MRI; image classification; image denoising; image segmentation; medical image processing; tumours; 4D connected component labelling; MRI brain images; MS lesion temporal development; image classification; image segmentation; noise reduction filter; sclerosis; Biomedical imaging; Magnetic resonance imaging; Nuclear magnetic resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-0785-2
  • Electronic_ISBN
    0-7803-0816-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1992.5761319
  • Filename
    5761319
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=544584