Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images

dc.contributor.author	Σολωμού, Αικατερίνη	el
dc.contributor.author	Κωστόπουλος, Σπυρίδων	el
dc.contributor.author	Σιδηρόπουλος, Κωνσταντίνος	el
dc.contributor.author	Αθανασιάδης, Εμμανουήλ	el
dc.contributor.author	Λαβδάς, Ελευθέριος	el
dc.date.accessioned	2015-01-15T22:11:27Z
dc.date.available	2015-01-15T22:11:27Z
dc.date.issued	2015-01-16
dc.identifier.uri	http://hdl.handle.net/11400/4110
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	hpc.sagepub.com	en
dc.subject	Parallel programs (Computer programs)
dc.subject	Pattern recognition
dc.subject	Μονάδα επεξεργαστή γραφικών
dc.subject	Παράλληλη επεξεργασία
dc.subject	Αναγνώριση προτύπων
dc.subject	Πολλαπλή σκλήρυνση
dc.subject	Graphics processor unit
dc.subject	Multiple sclerosis
dc.title	Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images	el
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Radiology, Medical
heal.classification	Ιατρική
heal.classification	Ακτινολογία, Ιατρική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85110777
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ακτινολογία, Ιατρική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh2006001441
heal.keywordURI	http://skos.um.es/unescothes/C02924
heal.contributorName	Γκλώτσος, Δημήτριος	el
heal.contributorName	Σακελλαρόπουλος, Γεώργιος	el
heal.contributorName	Ζαμπάκης, Πέτρος	el
heal.contributorName	Stonham, John	en
heal.contributorName	Κάβουρας, Διονύσης	el
heal.identifier.secondary	DOI: 10.1177/1094342012464253
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας.Σχολή Επαγγελμάτων Υγείας και Πρόνοιας.Τμήμα Ραδιολογίας και Ακτινολογίας.	el
heal.publicationDate	2012-11
heal.bibliographicCitation	Solomou, E., Kostopoulos, S., Sidiropoulos, K., Athanasiadis, E., Lavdas, E., et al. (2012). Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images. "The International Journal of High Performance Computing Applications" 27 (3), p.348-359.	en
heal.abstract	The aim of this study was to employ state-of-art graphics processing unit (GPU) technology and CUDA parallel programming to design and implement a stand-alone pattern recognition (PR) system to discriminate between patients with microischaemic (mIS) and multiple sclerosis (MS) lesions. The dataset comprised MRI image series of 32 patients with mIS and 19 with MS lesions. The probabilistic neural network classifier and 40 textural features, calculated from lesions in the magnetic resonance imaging (MRI) images, were used to design the PR system. The highest classification accuracy was 90.2%, employing six textural features. It took about 135 minutes to design the PR system on a desktop CPU (Intel Core 2 Quad Q9550), using sequential programming, against 250 seconds on the Nvidia 8800GT GPU card, using parallel programming. The proposed PR system may be redesigned on site, when new verified data are incorporated in its depository, and it may serve as a second opinion tool in a clinical environment.	en
heal.publisher	SAGE Publications	en
heal.journalName	The International Journal of High Performance Computing Applications	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true