Automating dicentric chromosome detection from cytogenetic biodosimetry data
Peter K. Rogan,Yanxin Li,Asanka Wickramasinghe,Akila Subasinghe,Natasha G. Caminsky,Wahab A. Khan,Jagath Samarabandu,Ruth C. Wilkins,Farrah Flegal,Joan H.M. Knoll +9 more
TLDR
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 is presented.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.read more
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Journal ArticleDOI
An automated imaging system for radiation biodosimetry
Guy Garty,Alan W. Bigelow,Mikhail Repin,Helen Turner,Dakai Bian,Adayabalam S. Balajee,Oleksandra V. Lyulko,Maria Taveras,Y. Lawrence Yao,David J. Brenner +9 more
TL;DR: An automated imaging system developed at the Center for High Throughput Minimally Invasive Radiation Biodosimetry features complete automation of all the steps of the imaging process and contains built‐in feedback loops to ensure proper operation.
Journal ArticleDOI
Advances in a framework to compare bio-dosimetry methods for triage in large-scale radiation events.
Ann Barry Flood,Holly K. Boyle,Gaixin Du,Eugene Demidenko,Roberto J. Nicolalde,Benjamin B. Williams,Harold M. Swartz +6 more
TL;DR: Increased population size, along with severely compromised infrastructure, increases the time needed to triage, which decreases the usefulness of many time intensive dosimetry methods.
Journal ArticleDOI
Radiation Dose Estimation by Automated Cytogenetic Biodosimetry.
TL;DR: Software, the Automated Dicentric Chromosome Identifier (ADCI), is presented which detects and discriminates DCs from monocentric chromosomes, computes biodosimetry calibration curves and estimates radiation dose.
Journal ArticleDOI
Evaluating the Special Needs of The Military for Radiation Biodosimetry for Tactical Warfare Against Deployed Troops: Comparing Military to Civilian Needs for Biodosimetry Methods.
Ann Barry Flood,Arif Ali,Holly K. Boyle,Gaixin Du,Victoria A. Satinsky,Steven Swarts,Benjamin B. Williams,Eugene Demidenko,Wilson Schreiber,Harold M. Swartz +9 more
TL;DR: Characteristics of biodosimetry most suitable for assessing individuals who have potentially been exposed to significant radiation from a nuclear device explosion when the primary population targeted by the explosion and needing rapid assessment for triage is civilians vs. deployed military personnel are delineated.
Journal ArticleDOI
Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation.
TL;DR: Automated Dicentric Chromosome Identifier and Dose Estimator (ADCI) software automates the process of performing cytogenetic dicentric chromosome assays by examining sets of metaphase images using machine learning-based image processing techniques.
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