Reconstruction of intracranial evoked current distribution images using generalised matrix inverses and algebraic reconstruction techniques

dc.contributor.author	Βεντούρας, Ερρίκος Μ.	el
dc.contributor.author	Ουζούνογλου, Νικόλαος Κ.	el
dc.contributor.author	Παπαγεωργίου, Χαράλαμπος	el
dc.contributor.author	Ραμπαβίλας, Ανδρέας Ν.	el
dc.contributor.author	Κουτσουρής, Δημήτριος Γ.	el
dc.date.accessioned	2015-01-25T19:32:14Z
dc.date.issued	2015-01-25
dc.identifier.uri	http://hdl.handle.net/11400/4720
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.subject	Electric power distribution--Alternating current
dc.subject	Electroencephalography
dc.subject	Κατανομή ρεύματος
dc.subject	Ηλεκτροεγκεφαλογραφία
dc.title	Reconstruction of intracranial evoked current distribution images using generalised matrix inverses and algebraic reconstruction techniques	el
heal.type	conferenceItem
heal.generalDescription	Proceedings of the 18th Ann.Int.Conf. of the IEEE-EMBS, vol.2	en
heal.classification	Medicine
heal.classification	Medical technology
heal.classification	Ιατρική
heal.classification	Ιατρική τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://skos.um.es/unescothes/C02465
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρική τεχνολογία
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85041880
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85042138
heal.contributorName	Στεφανής, Κωνσταντίνος Ν.	el
heal.identifier.secondary	DOI: 10.1109/IEMBS.1996.651994
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	1996
heal.bibliographicCitation	Ventouras, E., Uzunoglu, N., Papageorgiou, C., Rabavilas, A., Koutsouris, D. et al. (1996). Reconstruction of intracranial evoked current distribution images using generalised matrix inverses and algebraic reconstruction techniques. In the 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. vol. 2. pp. 825 - 826. Amsterdam, 31 th October - 3rd November 1996.	en
heal.abstract	Inversion of event-related potentials (ERPs) is studied using simulated potentials, through an analytic technique providing information about extended intracranial distributions, with separate source and sink positions. Comparative performance evaluation of the generalized matrix inverse (GMI) technique and algebraic reconstruction technique (ART) shows that for matrix dimensions used in inverse electroencephalography direct matrix inversion is faster than ART, in the noiseless case. Both methods present the same limitations concerning radial resolution due to their property of providing minimum norm solutions. When noise is present ART algorithms specifically designed for noisy data converge better to the original simulated current source distributions than GMI solutions, even if truncated approximations of pseudoinverses are used	en
heal.publisher	IEEE	en
heal.fullTextAvailability	true
heal.conferenceName	Engineering in Medicine and Biology Society	en
heal.conferenceItemType	full paper