Journal Article
. 2013 Mar; 8:48.
doi: 10.1186/1746-1596-8-48.

Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3'-Diaminobenzidine&Haematoxylin

Anna Korzynska 1 Lukasz Roszkowiak  Carlos Lopez  Ramon Bosch  Lukasz Witkowski  Marylene Lejeune  
Affiliations
  • PMID: 23531405
  •     28 References
  •     10 citations

Abstract

The comparative study of the results of various segmentation methods for the digital images of the follicular lymphoma cancer tissue section is described in this paper. The sensitivity and specificity and some other parameters of the following adaptive threshold methods of segmentation: the Niblack method, the Sauvola method, the White method, the Bernsen method, the Yasuda method and the Palumbo method, are calculated. Methods are applied to three types of images constructed by extraction of the brown colour information from the artificial images synthesized based on counterpart experimentally captured images. This paper presents usefulness of the microscopic image synthesis method in evaluation as well as comparison of the image processing results. The results of thoughtful analysis of broad range of adaptive threshold methods applied to: (1) the blue channel of RGB, (2) the brown colour extracted by deconvolution and (3) the 'brown component' extracted from RGB allows to select some pairs: method and type of image for which this method is most efficient considering various criteria e.g. accuracy and precision in area detection or accuracy in number of objects detection and so on. The comparison shows that the White, the Bernsen and the Sauvola methods results are better than the results of the rest of the methods for all types of monochromatic images. All three methods segments the immunopositive nuclei with the mean accuracy of 0.9952, 0.9942 and 0.9944 respectively, when treated totally. However the best results are achieved for monochromatic image in which intensity shows brown colour map constructed by colour deconvolution algorithm. The specificity in the cases of the Bernsen and the White methods is 1 and sensitivities are: 0.74 for White and 0.91 for Bernsen methods while the Sauvola method achieves sensitivity value of 0.74 and the specificity value of 0.99. According to Bland-Altman plot the Sauvola method selected objects are segmented without undercutting the area for true positive objects but with extra false positive objects. The Sauvola and the Bernsen methods gives complementary results what will be exploited when the new method of virtual tissue slides segmentation be develop.

Virtual Slides: The virtual slides for this article can be found here: slide 1: http://diagnosticpathology.slidepath.com/dih/webViewer.php?snapshotId=13617947952577 and slide 2: http://diagnosticpathology.slidepath.com/dih/webViewer.php?snapshotId=13617948230017.

Applications of image analysis to anatomic pathology: realities and promises.
Joan Gil, Hai-Shan Wu.
Cancer Invest, 2004 Jan 23; 21(6). PMID: 14735698
Review.
Tissue architecture analysis in prostate cancer and its precursors: An innovative approach to computerized histometry.
P H Bartels, R Montironi, +4 authors, H G Bartels.
Eur Urol, 1999 May 15; 35(5-6). PMID: 10325510
Review.
Color image analysis for quantifying renal tumor angiogenesis.
Hyun-Ju Choi, Ik-Hwan Choi, Nam-Hoon Cho, Heung-Kook Choi.
Anal Quant Cytol Histol, 2005 Mar 30; 27(1). PMID: 15794451
Automated quantification of nuclear immunohistochemical markers with different complexity.
Carlos López, Marylène Lejeune, +8 authors, Joaquín Jaén.
Histochem Cell Biol, 2008 Jan 04; 129(3). PMID: 18172664
Current methods in medical image segmentation.
D L Pham, C Xu, J L Prince.
Annu Rev Biomed Eng, 2001 Nov 10; 2. PMID: 11701515
Highly Cited. Review.
Towards an automated virtual slide screening: theoretical considerations and practical experiences of automated tissue-based virtual diagnosis to be implemented in the Internet.
Klaus Kayser, Dominik Radziszowski, +2 authors, Gian Kayser.
Diagn Pathol, 2006 Jun 13; 1. PMID: 16764733    Free PMC article.
A review of caveats in statistical nuclear image analysis.
H Schulerud, G B Kristensen, +4 authors, H E Danielsen.
Anal Cell Pathol, 1998 Aug 06; 16(2). PMID: 9692681    Free PMC article.
Review.
Image processing for accurate cell recognition and count on histologic slides.
Tomasz Markiewicz, Stanislaw Osowski, Janusz Patera, Wojciech Kozlowski.
Anal Quant Cytol Histol, 2006 Oct 28; 28(5). PMID: 17067010
Quantification of histochemical staining by color deconvolution.
A C Ruifrok, D A Johnston.
Anal Quant Cytol Histol, 2001 Sep 04; 23(4). PMID: 11531144
Highly Cited.
Segmentation of fluorescence microscopy cell images using unsupervised mining.
Xian Du, Sumeet Dua.
Open Med Inform J, 2010 Dec 01; 4. PMID: 21116323    Free PMC article.
Interpretation and quantification of immunostains.
T Seidal, A J Balaton, H Battifora.
Am J Surg Pathol, 2001 Nov 02; 25(9). PMID: 11688582
Review.
New automated image analysis method for the assessment of Ki-67 labeling index in meningiomas.
Bartłomiej Grala, Tomasz Markiewicz, +3 authors, Wielisław Papierz.
Folia Histochem Cytobiol, 2009 Jan 01; 47(4). PMID: 20430724
Comparative analysis of methods for accurate recognition of cells through nuclei staining of Ki-67 in neuroblastoma and estrogen/progesterone status staining in breast cancer.
Tomasz Markiewicz, Piotr Wisniewski, +3 authors, Robert Koktysz.
Anal Quant Cytol Histol, 2009 Mar 27; 31(1). PMID: 19320193
Review of imaging solutions for integrated quantitative immunohistochemistry in the Pathology daily practice.
Marcial García Rojo, Gloria Bueno, Janina Slodkowska.
Folia Histochem Cytobiol, 2010 Feb 19; 47(3). PMID: 20164017
Review.
Immunohistochemical patterns of reactive microenvironment are associated with clinicobiologic behavior in follicular lymphoma patients.
Tomás Alvaro, Marylène Lejeune, +4 authors, Lluis E Pons.
J Clin Oncol, 2006 Dec 01; 24(34). PMID: 17135637
Image standards in tissue-based diagnosis (diagnostic surgical pathology).
Klaus Kayser, Jürgen Görtler, +3 authors, Gian Kayser.
Diagn Pathol, 2008 Apr 22; 3. PMID: 18423031    Free PMC article.
Computational framework for simulating fluorescence microscope images with cell populations.
Antti Lehmussola, Pekka Ruusuvuori, +2 authors, Olli Yli-Harja.
IEEE Trans Med Imaging, 2007 Jul 26; 26(7). PMID: 17649914
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: a quantitative evaluation.
S Di Cataldo, E Ficarra, A Acquaviva, E Macii.
Comput Med Imaging Graph, 2010 Jan 12; 34(6). PMID: 20060681
Diagnostic Immunohistochemistry: what can go wrong?
Hadi Yaziji, Todd Barry.
Adv Anat Pathol, 2006 Sep 26; 13(5). PMID: 16998317
Review.
Ki-67 as a prognostic marker in mantle cell lymphoma-consensus guidelines of the pathology panel of the European MCL Network.
Wolfram Klapper, Eva Hoster, +27 authors, European MCL Network.
J Hematop, 2009 Aug 12; 2(2). PMID: 19669190    Free PMC article.
Role of radiologists in CAD life-cycle.
Ewa Piętka, Jacek Kawa, +4 authors, Marcin Rudzki.
Eur J Radiol, 2009 Sep 29; 78(2). PMID: 19783393
Theory and implementation of an electronic, automated measurement system for images obtained from immunohistochemically stained slides.
Gian Kayser, Dominik Radziszowski, +2 authors, Klaus Kayser.
Anal Quant Cytol Histol, 2006 Mar 29; 28(1). PMID: 16566277
A parallel solution for high resolution histological image analysis.
G Bueno, R González, +5 authors, J Salido.
Comput Methods Programs Biomed, 2012 Apr 24; 108(1). PMID: 22522064
Digital stain separation for histological images.
P J Tadrous.
J Microsc, 2010 Oct 16; 240(2). PMID: 20946383
A cognitive virtual microscopic framework for knowledge-based exploration of large microscopic images in breast cancer histopathology.
Ludovic Roux, Adina Tutac, +6 authors, Thomas C Putti.
Annu Int Conf IEEE Eng Med Biol Soc, 2009 Dec 08; 2009. PMID: 19965006
Automated segmentation of tissue images for computerized IHC analysis.
S Di Cataldo, E Ficarra, A Acquaviva, E Macii.
Comput Methods Programs Biomed, 2010 Apr 03; 100(1). PMID: 20359767
Using MATLAB software with Tomcat server and Java platform for remote image analysis in pathology.
Tomasz Markiewicz.
Diagn Pathol, 2011 Apr 22; 6 Suppl 1. PMID: 21489188    Free PMC article.
Image analysis and morphometry in the diagnosis of breast cancer.
Joan Gil, Haishan Wu, Beverly Y Wang.
Microsc Res Tech, 2002 Oct 10; 59(2). PMID: 12373721
Review.
Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks.
Johannes Stegmaier, Jens C Otte, +5 authors, Ralf Mikut.
PLoS One, 2014 Mar 04; 9(2). PMID: 24587204    Free PMC article.
Quantification of myocardial fibrosis by digital image analysis and interactive stereology.
Dainius Daunoravicius, Justinas Besusparis, +8 authors, Arvydas Laurinavicius.
Diagn Pathol, 2014 Jun 11; 9. PMID: 24912374    Free PMC article.
A Model based Survey of Colour Deconvolution in Diagnostic Brightfield Microscopy: Error Estimation and Spectral Consideration.
Peter Haub, Tobias Meckel.
Sci Rep, 2015 Aug 01; 5. PMID: 26223691    Free PMC article.
Comparison of the manual, semiautomatic, and automatic selection and leveling of hot spots in whole slide images for Ki-67 quantification in meningiomas.
Zaneta Swiderska, Anna Korzynska, +6 authors, Bartlomiej Grala.
Anal Cell Pathol (Amst), 2015 Aug 05; 2015. PMID: 26240787    Free PMC article.
Evaluation of cytokeratin-19 in breast cancer tissue samples: a comparison of automatic and manual evaluations of scanned tissue microarray cylinders.
Cristina Callau, Marylène Lejeune, +7 authors, Carlos López.
Biomed Eng Online, 2015 Sep 04; 14 Suppl 2. PMID: 26329009    Free PMC article.
PATMA: parser of archival tissue microarray.
Lukasz Roszkowiak, Carlos Lopez.
PeerJ, 2016 Dec 07; 4. PMID: 27920955    Free PMC article.
Decision Support System for Lymphoma Classification.
Ahmed E-S Negm, Ahmed H Kandil, Osama A E-F Hassan.
Curr Med Imaging Rev, 2017 May 12; 13(1). PMID: 28491014    Free PMC article.
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients.
Ines P Nearchou, Bethany M Gwyther, +6 authors, Peter D Caie.
NPJ Digit Med, 2020 May 22; 3. PMID: 32435699    Free PMC article.
Inflammation in the developing rat modulates astroglial reactivity to seizures in the mature brain.
Zuzanna Setkowicz, Emilia Kosonowska, Krzysztof Janeczko.
J Anat, 2017 Jun 10; 231(3). PMID: 28597918    Free PMC article.

;. PMID: 33597676