Segmentation of microarray images using gradient vector flow active contours boosted by gaussian mixture models

 
This item is provided by the institution :
Technological Educational Institute of Athens
Repository :
Ypatia - Institutional Repository
see the original item page
in the repository's web site and access all digital files if the item*
share




2007 (EN)
Segmentation of microarray images using gradient vector flow active contours boosted by gaussian mixture models (EN)

Σπυρίδωνος, Παναγιώτα Π. (EL)
Αθανασιάδης, Εμμανουήλ Ι. (EL)
Κάβουρας, Διονύσης Α. (EL)
Γκλώτσος, Δημήτριος (EL)
Καλατζής, Ιωάννης (EL)

Νικηφορίδης, Γεώργιος Σ. (EL)
Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. (EL)

In this paper, a new methodology for the segmentation of cDNA microarray images is proposed, based on the combination of Gaussian Mixture Models (GMM) with Gradient Vector Flow (GVF) active contours. A simulated microarray image of 1000 spots was produced using a standard procedure. 5 real microarray images were used to evaluate the performance of our algorithm. GMM was firstly applied in all individual cells (spot with each background). The output was used to initialize a GVF active contour. The major advance of our method is that it overcomes limitations of both GMM and active contours when used individually. Segmentation matching factors and mean intensity values were calculated for every cell using GMM, GVF, and the combination of GMM and GVF in the simulated data. Pairwise correlations and mean absolute errors were also calculated by using real microarrays. Numerical experiments using both simulated and real images showed that our method was more accurate in measuring intensity values and detecting actual boundaries of spots, compared with GMM and active contours used individually. Results concerning the segmentability and the mean intensity value of the proposed algorithm were more accurate, as compared with those methods when used individually. (EN)

conferenceItem
poster

Active Contours (EN)
Microarrays (EN)
Μικροσυστοιχίες (EN)
Ενεργά περιγράμματα (EN)

ΤΕΙ Αθήνας (EL)
Technological Educational Institute of Athens (EN)

International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization (EN)

English

2007




*Institutions are responsible for keeping their URLs functional (digital file, item page in repository site)