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https://olympias.lib.uoi.gr/jspui/handle/123456789/10768Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Nikou, C. | en |
| dc.contributor.author | Heitz, F. | en |
| dc.contributor.author | Nehlig, A. | en |
| dc.contributor.author | Namer, I. J. | en |
| dc.contributor.author | Armspach, J. P. | en |
| dc.date.accessioned | 2015-11-24T17:00:26Z | - |
| dc.date.available | 2015-11-24T17:00:26Z | - |
| dc.identifier.issn | 0165-0270 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10768 | - |
| dc.rights | Default Licence | - |
| dc.subject | serially acquired images | en |
| dc.subject | alignment | en |
| dc.subject | image registration | en |
| dc.subject | pixel similarity measure | en |
| dc.subject | robust estimation | en |
| dc.subject | three dimensional reconstruction | en |
| dc.subject | autoradiography | en |
| dc.subject | 3-dimensional reconstruction | en |
| dc.subject | images | en |
| dc.subject | registration | en |
| dc.subject | information | en |
| dc.title | A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sections | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | Doi 10.1016/S0165-0270(02)00369-2 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
| heal.publicationDate | 2003 | - |
| heal.abstract | Autoradiographic analysis of the functional changes occurring in the rat brain are most often performed on coronal sections that allow a good insight into the events occurring at the structural level but lacks the 3D context which is necessary to fully understand the involvement of the brain structures in specific situations like focal seizures with or without generalization. Therefore a robust, fully-automated algorithm for the registration of serially acquired autoradiographic sections is presented. The method accounts for the main difficulties of autoradiographic alignment: corrupted data (cuts and tears), dissimilarities or discontinuities between slices, non parallel or missing slices. The approach relies on the minimization of a global energy function based on robust statistics. The energy function measures the similarity between a slice and its neighborhood in the 3D volume. No particular direction is privileged in the method, so that global offsets, biases in the estimation or error propagations are avoided. The method is evaluated qualitatively and quantitatively on real autoradiographic data. Rat brain autoradiographic volumes are reconstructed with registration errors less than 1 degree in rotation and less than 1 pixel in translation. (C) 2003 Elsevier Science B.V. All rights reserved. | en |
| heal.journalName | J Neurosci Methods | en |
| heal.journalType | peer reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Nikou-2003-A robust statistics-.pdf | 725.18 kB | Adobe PDF | View/Open Request a copy |
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