Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/4816
Title: Computer aided discrimination between primary and secondary brain tumors on MRI
Alternative title / Subtitle: from 2D to 3D texture analysis
Authors: Γεωργιάδης, Παντελής
Κάβουρας, Διονύσης Α.
Καλατζής, Ιωάννης
Γκλώτσος, Δημήτριος
Σηφάκη, Κοραλία
Contributors: Μάλαμας, Μενέλαος
Νικηφορίδης, Γεώργιος
Σολωμού, Αικατερίνη
Item type: Conference publication
Keywords: Volumetric textural features;Χαρακτηριστικά ογκομετρικής υφής;Brain tumors;MRI;Pattern classification;Εγκεφαλικοί όγκοι;Ταξινόμηση μοτίβο
Subjects: Science
Mathematics
Επιστήμες
Μαθηματικά
Issue Date: 27-Jan-2015
2008
Date of availability: 27-Jan-2015
Publisher: Νερατζής, Ηλίας
Σιανούδης, Ιωάννης
Abstract: Three dimensional texture analysis of volumetric brain MR images have been identified as an important indicator for discriminating among different brain pathologies. The aim of the present study was to evaluate the efficiency of three dimensional textural features using a pattern recognition system in the task of discriminating primary from metastatic brain tissues on T1 post-contrast MRI series. The dataset consisted of sixty seven brain MRI series obtained from patients with verified and untreated intracranial tumors. The pattern recognition system was designed employing a probabilistic neural network classifier, specially modified in order to integrate the non-linear least squares feature transformation logic in its discriminant function. The latter, in conjunction with using three dimensional textural features, enabled boosting up the performance of the system in discriminating primary from metastatic with accuracy of 95.52%. The proposed system might be used as an assisting tool for brain tumor characterization on volumetric MRI series.
Language: English
Citation: Georgiadis, P., Cavouras, D.A., Kalatzis, I., Glotsos, D., Sifaki, K., et al. (2008). Computer aided discrimination between primary and secondary brain tumors on MRI: from 2D to 3D texture analysis. "e-Journal of Science & Technology". [Online] 3(2): 9-18. Available from: http://e-jst.teiath.gr/
Journal: e-Περιοδικό Επιστήμης & Τεχνολογίας
e-Journal of Science & Technology
Type of Journal: With a review process (peer review)
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/4816
Appears in Collections:Τόμος 03, τεύχος 2 (2008)

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