• DocumentCode
    2411591
  • Title

    Detection of tissue folds in whole slide images

  • Author

    Bautista, Pinky A. ; Yagi, Yukako

  • Author_Institution
    Dept. of Pathology, Harvard Med. Sch., Boston, MA, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3669
  • Lastpage
    3672
  • Abstract
    In whole slide imaging (WSI) the quality of scanned images is an interplay between the hardware specifications of the scanning device and the condition of the tissue slide itself. Tissue artifacts such as folds and bubbles have been known to affect the efficiency of a whole slide scanning system in selecting the focus points wherein the presence of the said artifacts have been found to produce blur or unfocused images. Thus, for a whole slide scanning device to produce the best image quality, even with the presence of tissue artifacts, information on the location of these artifacts should be known such that they can be avoided in the selection of the focus points. In this paper we introduced an enhancement method to emphasize and detect the location of the tissue folds from whole slide images. Results of the experiments that we conducted on various H&E stained images that were scanned using different scanners show the robustness of the method to detect tissue folds.
  • Keywords
    biological tissues; biomedical optical imaging; image enhancement; medical image processing; H&E stained images; blur images; image artifacts; image enhancement method; image quality; scanning device; tissue artifacts; tissue fold detection; unfocused images; whole slide images; Algorithms; Artifacts; Automatic Data Processing; Automation; Color; Colorimetry; Equipment Design; Humans; Image Processing, Computer-Assisted; Light; Optics and Photonics; Pathology; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5334529
  • Filename
    5334529