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Radiat Prot Dosimetry. 2014 Jun;159(1-4):95-104. doi: 10.1093/rpd/ncu133. Epub 2014 Apr 21.

Automating dicentric chromosome detection from cytogenetic biodosimetry data.

Author information

1
University of Western Ontario, 1151 Richmond Street, London, ON, Canada N6A 3K7 progan@uwo.ca.
2
University of Western Ontario, 1151 Richmond Street, London, ON, Canada N6A 3K7.
3
Health Canada, 775 Brookfield Road, PL 6303B, Ottawa, ON, Canada K1A 1C1.
4
Atomic Energy of Canada Ltd., STN 51, Bldg 513, Chalk River, ON, Canada K0J 1J0.

Abstract

We present a prototype software system with sufficient capacity and speed to estimate radiation exposures in a mass casualty event by counting dicentric chromosomes (DCs) in metaphase cells from many individuals. Top-ranked metaphase cell images are segmented by classifying and defining chromosomes with an active contour gradient vector field (GVF) and by determining centromere locations along the centreline. The centreline is extracted by discrete curve evolution (DCE) skeleton branch pruning and curve interpolation. Centromere detection minimises the global width and DAPI-staining intensity profiles along the centreline. A second centromere is identified by reapplying this procedure after masking the first. Dicentrics can be identified from features that capture width and intensity profile characteristics as well as local shape features of the object contour at candidate pixel locations. The correct location of the centromere is also refined in chromosomes with sister chromatid separation. The overall algorithm has both high sensitivity (85 %) and specificity (94 %). Results are independent of the shape and structure of chromosomes in different cells, or the laboratory preparation protocol followed. The prototype software was recoded in C++/OpenCV; image processing was accelerated by data and task parallelisation with Message Passaging Interface and Intel Threading Building Blocks and an asynchronous non-blocking I/O strategy. Relative to a serial process, metaphase ranking, GVF and DCE are, respectively, 100 and 300-fold faster on an 8-core desktop and 64-core cluster computers. The software was then ported to a 1024-core supercomputer, which processed 200 metaphase images each from 1025 specimens in 1.4 h.

PMID:
24757176
PMCID:
PMC4067226
DOI:
10.1093/rpd/ncu133
[Indexed for MEDLINE]
Free PMC Article

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