2008
DOI: 10.2352/j.imagingsci.technol.(2008)52:4(040502)
|View full text |Cite
|
Sign up to set email alerts
|

Segmentation of Brain Immunohistochemistry Images Using Clustering of Linear Centroids and Regional Shapes

Abstract: A generalized clustering algorithm utilizing the geometrical shapes of clusters for segmentation of colored brain immunohistological images is presented. To simplify the computation, the dimension of vectors composed from the pixel RGB components is reduced from three to two by applying a decorrelation mapping with the orthogonal bases of the eigenvectors of the auto-covariance matrix. Since the brain immunohistochemical images have stretched clusters that appear long and narrow in geometrical shape, we use ce… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2010
2010
2013
2013

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…The number of areas taken depended on the type of quantitative analysis that followed. The percentage area occupied by cells immunoreactive for CD68, CD45 and HLA DP, DQ, DR was quantitated by analysis of six 0.03 mm 2 images using a proprietary automated morphometric analysis software [103] . The mean intensity of MAP2 and STAT1 staining was analyzed on one 0.03 mm 2 image, utilizing Image J software ( http://rsbweb.nih.gov/ij/ ).…”
Section: Methodsmentioning
confidence: 99%
“…The number of areas taken depended on the type of quantitative analysis that followed. The percentage area occupied by cells immunoreactive for CD68, CD45 and HLA DP, DQ, DR was quantitated by analysis of six 0.03 mm 2 images using a proprietary automated morphometric analysis software [103] . The mean intensity of MAP2 and STAT1 staining was analyzed on one 0.03 mm 2 image, utilizing Image J software ( http://rsbweb.nih.gov/ij/ ).…”
Section: Methodsmentioning
confidence: 99%
“…Six successive fields at ×40 magnification (total area of analysis, 0.03 mm 2 ) were taken from each tissue core with a Coolpix 950 digital camera attached to the microscope by a Coolpix MDC lens. The percentage of tissue area occupied by antibody-positive cells was determined by an automated system developed at the Mount Sinai School of Medicine (Wu et al 2008). Two cores were analyzed for each antibody in each anatomical region from each patient, for a total of 12 images.…”
Section: Methodsmentioning
confidence: 99%
“…With the PTShift function, a user can manually adjust the colour shift values while viewing and monitoring the reconstructed image until a visually satisfactory image appears. Although minor transverse chromatic aberration is acceptable to most pathologists when viewing diagnostic specimens, it may significantly affect the quantitative results of the image segmentation and analysis algorithms that are based on the vector clusters (Wu et al ., 2008). In this short communication, we describe an algorithm for restoration of images having transverse chromatic aberrations due to imperfect microscope lenses.…”
Section: Introductionmentioning
confidence: 99%