Voxel-based quantitative analysis of brain images from F-18 Fluorodeoxyglucose Positron Emission Tomography with a Block-Matching algorithm for spatial normalization

Christophe Person 1 Valérie Louis-Dorr 1 Sylvain Poussier 2 Olivier Commowick 3 Grégoire Malandain 4 Louis Maillard 1 Didier Wolf 1 Nicolas Gilet 5 Véronique Roch 2 Gilles Karcher 2 Pierre-Yves Marie 6
3 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
4 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, SIS - Signal, Images et Systèmes
Abstract : Purpose of the Report. Statistical Parametric Mapping (SPM) is widely used for the quantitative analysis of brain images from F-18 fluorodeoxyglucose Positron Emission Tomography (FDG-PET). SPM requires an initial step of spatial normalization to align all images to a standard anatomical model (the template), but this may lead to image distortion and artefacts, especially in cases of marked brain abnormalities. This study aimed at assessing a Block-Matching (BM) normalization algorithm, where most transformations are not directly computed on the overall brain volume but through small blocks, a principle that is likely to minimize artefacts
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Article dans une revue
Clinical Nuclear Medicine, Lippincott, Williams & Wilkins, 2012, 37 (3), pp.268-273. 〈10.1097/RLU.0b013e3182443b2d〉
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https://hal.archives-ouvertes.fr/hal-00651731
Contributeur : Valérie Louis Dorr <>
Soumis le : mercredi 14 décembre 2011 - 09:57:44
Dernière modification le : mercredi 2 août 2017 - 10:11:16

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Christophe Person, Valérie Louis-Dorr, Sylvain Poussier, Olivier Commowick, Grégoire Malandain, et al.. Voxel-based quantitative analysis of brain images from F-18 Fluorodeoxyglucose Positron Emission Tomography with a Block-Matching algorithm for spatial normalization. Clinical Nuclear Medicine, Lippincott, Williams & Wilkins, 2012, 37 (3), pp.268-273. 〈10.1097/RLU.0b013e3182443b2d〉. 〈hal-00651731〉

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