Temporal epilepsy lesions may be detected by the voxel-based quantitative analysis of brain FDG-PET images using an original block-matching normalization software.

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

https://www.ncbi.nlm.nih.gov/pubmed/26841946

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