• DocumentCode
    24856
  • Title

    Segmentation of Bone Marrow Biopsies by Mathematical Morphology in Color Spaces

  • Author

    Pastore, J. ; Bouchet, A. ; Moler, E. ; Ballarin, V.

  • Author_Institution
    Univ. Nac. de Mar del Plata, Mar del Plata, Argentina
  • Volume
    11
  • Issue
    1
  • fYear
    2013
  • fDate
    Feb. 2013
  • Firstpage
    329
  • Lastpage
    333
  • Abstract
    Anatomic and pathologic reports of histological slides give results indicating the presence of trabeculae, hematopoietic and fat cells. This allows evaluating the grade of some metabolic disorder, comparing normal values with pathological ones. Generally, quantifications are carried out by simple visual inspection presenting big inter-and intra-user differences. This work presents an automatic method for detecting different types of tissues in bone marrow biopsies using Mathematical Morphology in color spaces, in order to determine the marrow cellularity accurately. The method was tested with 30 images of bone marrow biopsies presenting different distributions of cellularity.
  • Keywords
    biomedical optical imaging; bone; cellular biophysics; diseases; image colour analysis; image segmentation; mathematical morphology; medical image processing; automatic method; bone marrow biopsies; color spaces; fat cells; hematopoietic cells; histological slides; marrow cellularity; mathematical morphology; metabolic disorder; segmentation; trabeculae; Biomedical imaging; Bones; Image color analysis; Image segmentation; Medical services; Morphology; Presses; Bone Marrow Biopsies; Color Spaces; Mathematical Morphology; Segmentation;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2013.6502825
  • Filename
    6502825