Temporal epilepsy lesions may be detected by the voxel-based quantitative analysis of brain FDG-PET images using an original block-matching normalization software.
Fiche publication
Date publication
mai 2016
Journal
Annals of nuclear medicine
Auteurs
Membres identifiés du Cancéropôle Est :
Pr KARCHER Gilles, Pr MARIE Pierre-Yves, Pr VERGER Antoine
Tous les auteurs :
Verger A, Yagdigul Y, Van Der Gucht A, Poussier S, Guedj E, Maillard L, Malandain G, Hossu G, Fay R, Karcher G, Marie PY
Lien Pubmed
Résumé
Statistical parametric mapping (SPM) provides useful voxel-by-voxel analyses of brain images from (18)F-fluorodesoxyglucose positron emission tomography (FDG-PET) after an initial step of spatial normalization through an anatomical template model. In the setting of the preoperative workup of patients with temporal epilepsy, this study aimed at assessing a block-matching (BM) normalization method, where most transformations are computed through small blocks, a principle that minimizes artefacts and overcomes additional image-filtering.
Mots clés
Adult, Brain, diagnostic imaging, Calibration, Epilepsy, Temporal Lobe, diagnostic imaging, Female, Humans, Image Processing, Computer-Assisted, methods, Male, Positron-Emission Tomography, Retrospective Studies, Software
Référence
Ann Nucl Med. 2016 May;30(4):272-8