Voxel-based quantitative analysis of brain images from F-18 Fluorodeoxyglucose Positron Emission Tomography with a Block-Matching algorithm for spatial normalization - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Clinical Nuclear Medicine Year : 2012

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

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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Dates and versions

hal-00651731 , version 1 (14-12-2011)

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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, 2012, 37 (3), pp.268-273. ⟨10.1097/RLU.0b013e3182443b2d⟩. ⟨hal-00651731⟩
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