• DocumentCode
    1771707
  • Title

    Picro-Sirius-HTX stain for blind color decomposition of histopathological prostate tissue

  • Author

    Carlbom, Ingrid B. ; Avenel, Christophe ; Busch, Christer

  • Author_Institution
    Dept. for Inf. Technol., Uppsala Univ., Uppsala, Sweden
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    282
  • Lastpage
    285
  • Abstract
    Gleason grading is the most widely used system for determining the severity of prostate cancer. The Gleason grade is determined visually under a microscope from prostate tissue that is most often stained with Hematoxylin-Eosin (H&E). In an earlier study we demonstrated that this stain is not ideal for machine learning applications, but that other stains, such as Sirius-hematoxylin (Sir-Htx), may perform better. In this paper we illustrate the advantages of this stain over H&E for blind color decomposition. When compared to ground truth defined by an experienced pathologist, the relative root-mean-square errors of the color decomposition mixing matrices for Sir-Htx are better than those for H&E by a factor of two, and the Pearson correlation coefficients of the density maps resulting from the decomposition of Sir-Htx-stained tissue gives a 99% correlation with the ground truth. Qualitative examples of the density maps confirm the quantitative findings and illustrate that the density maps will allow accurate segmentation of morphological features that determine the Gleason grade.
  • Keywords
    biological tissues; biomedical optical imaging; cancer; image segmentation; mean square error methods; medical image processing; optical microscopy; Gleason grading; Pearson correlation coefficients; Sir-Htx-stained tissue decomposition; blind color decomposition mixing matrices; density maps; ground truth; hematoxylin-eosin; histopathological prostate tissue; morphological features; picro-sirius-HTX stain; prostate cancer; root-mean-square error method; segmentation; Biological tissues; Colored noise; Correlation; Image color analysis; Matrix decomposition; Prostate cancer; Gleason grading; Microscopy; histological stains; image color decomposition; prostate cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867864
  • Filename
    6867864