Automatic segmentation of cell nuclei in bladder and skin tissue for karyometric analysis.
OBJECTIVE
To automatically segment cell nuclei in histology images of bladder and skin tissue for karyometric analysis.


METHODS
The 4 main steps in the program were as follows: median filtering and thresholding, segmentation, categorizing and cusp correction. This robust segmentation technique used properties of the image histogram to optimally select a threshold and create closed 4-way chain code nuclear segmentations. Each cell nucleus segmentation was treated as an individual object of which the properties of segmentation quality were used for criteria to classify each nucleus as: throw away, salvageable or good. An erosion/dilation procedure and rethresholding were performed on salvageable nuclei to correct cusps.


RESULTS
Ten bladder histology images were segmented both by hand and using this automatic segmentation algorithm. The automatic segmentation resulted in a sensitivity of 76.4%, defined as the percentage of hand-segmented nuclei that were automatically segmented with good quality. The median proportional difference between hand and automatic segmentations over 42 nuclei each with 95 features used in karyometric analysis was 1.6%. The same procedure was performed on 10 skin histology images with a sensitivity of 83.0% and median proportional difference of 2.6%.


CONCLUSIONS
The close agreement in karyometric features with hand segmentation shows that automated segmentation can be used for analysis of bladder and skin histology images.
Korde
Vrushali R
VR
College of Optical Sciences, University of Arizona, Tucson, Arizona, USA.
Bartels
Hubert
H
Barton
Jennifer
J
Ranger-Moore
James
J
D000465:Algorithms; D001331:Automation / Q000379:methods; D002467:Cell Nucleus / Q000648:ultrastructure*; D018450:Disease Progression; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007620:Karyometry / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D012680:Sensitivity and Specificity; D012867:Skin / Q000648:ultrastructure*; D014463:Ultrasonography; D001743:Urinary Bladder / Q000000981:diagnostic imaging*; D001749:Urinary Bladder Neoplasms / Q000473:pathology / Q000648:ultrastructure