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
Link To Document :
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