Normalising brain PET images

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/2014
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Title: Normalising brain PET images
Authors: Ferrando Juliá, Elia | Ruiz-Fernandez, Daniel | Soriano Payá, Antonio
Research Group/s: Ingeniería Bioinspirada e Informática para la Salud
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: PET | Brain | Normalite | 3D images
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Date Created: 22-Apr-2007
Issue Date: 18-Jun-2007
Publisher: Springer
Citation: FERRANDO JULIÁ, Elia; RUIZ FERNÁNDEZ, Daniel; SORIANO PAYÁ, Antonio. “Normalising brain PET images”. En: Nature Inspired Problem-Solving Methods in Knowledge Engineering : Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings, Part II. Berlin : Springer, 2007. ISBN 978-3-540-73054-5, pp. 54-62
Abstract: PET is a nuclear medical examination which constructs a three-dimensional image of metabolism inside the body; in this article is particular, images are taken from the brain. The high complexity inherent to the interpretation of the brain images makes that any help is important to the specialists in order to accurate the diagnostic. In orden to reach reliable and good images, a normalizacion precess is suggested in this paper, consisting of contring the brain in the three-dimensional image, scaling it according to a template brain and, finally, rotating the brain according to the inclination of the template. For not reducing the quality of the information the application works with PET image format and radioactivity measures instead of translate to an ordinary colour image.
URI: http://hdl.handle.net/10045/2014
ISBN: 978-3-540-73054-5
ISSN: 0302-9743
DOI: 10.1007/978-3-540-73055-2_7
Language: eng
Type: info:eu-repo/semantics/bookPart
Rights: The original publication is available at www.springerlink.com
Peer Review: si
Publisher version: http://dx.doi.org/10.1007/978-3-540-73055-2_7
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