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MICCAI 2012 Workshop on Novel Biomarkers for Alzheimer's Disease and Related Disorders, France (2012)

Robust individual template pipeline for longitudinal MR images

Nicolas Guizard (  Auteur correspondant ) 1, Vladimir Fonov 1, Bérengère Aubert-Broche 1, Daniel García-Lorenzo 1, 2, Pierrick Coupé 1, 3, Simon Eskildsen 1, 4, D. Louis Collins 1

(05/10/2012)

Longitudinal measures of brain volume are powerful tools to assess the anatomical changes underlying on-going neurodegenerative processes. In different neurological disorders, such as in multiple sclerosis, Alzheimer's disease and Parkinson's disease, the neurodegenerative aspect may result in subtle anatomical brain changes before the appearance of clinical symptoms. Large longitudinal brain imaging datasets are now accessible to investigate such structural changes over time and to evaluate their use as biomarkers of prodromal disease. However, manual segmentation is long and tedious and although automatic methods exist, they are often performed in a cross-sectional manner where each visit is analysed independently. With such analysis methods, bias, error and longitudinal noise may be introduced. MR scanner noise and physiological effects can also introduce additional variability. Therefore, we developed a specific pipeline for longitudinal brain image analysis. To avoid any bias, an individual subject template is created and used as a reference within the pipeline. Then, the pair-wise deformation fields of each visit to the individual template are used to estimate the variation between individual time-points.

1 :	McConnell Brain Imaging Centre (MNI)
	Montreal Neurological Institute – McGill University
2 :	Centre de Neuro-Imagerie de Recherche (CENIR)
	Assistance publique - Hôpitaux de Paris (AP-HP) – Hôpital Pitié-Salpêtrière
3 :	Laboratoire Bordelais de Recherche en Informatique (LaBRI)
	CNRS : UMR5800 – Université Sciences et Technologies - Bordeaux I – École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB) – Université Victor Segalen - Bordeaux II
4 :	Aarhus University
	University of Aarhus

Domaine

:

Sciences du Vivant/Ingénierie biomédicale/Imagerie

Mots Clés : mri – longitudinal – pipeline – segmentation – template

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Contributeur : Nicolas Guizard <>

Soumis le : Jeudi 11 Octobre 2012, 15:26:48

Dernière modification le : Mardi 16 Octobre 2012, 08:49:32