Automated workflow for spatial alignment of multimodal MR image acquisitions in a longitudinal study of cognitive aging

Authors:
Erlend Hodneland;Martin Ystad;Judit Haász;Antonella Zanna Munthe-Kaas;Arvid Lundervold
Affiliations:
Department of Biomedicine, Neuroinformatics and Image Analysis Laboratory, and Department of Mathematics, University of Bergen, Bergen, Norway;Department of Biomedicine, Neuroinformatics and Image Analysis Laboratory, University of Bergen, Bergen, Norway;Department of Biomedicine, Neuroinformatics and Image Analysis Laboratory, University of Bergen, Bergen, Norway and Department of Neurology, Haukeland University Hospital, Bergen, Norway;Department of Mathematics, University of Bergen, Bergen, Norway;Department of Biomedicine, Neuroinformatics and Image Analysis Laboratory, University of Bergen, Norway and Department of Radiology, Haukeland University Hospital, Bergen, Norway
Venue:
ASM'10 Proceedings of the 4th international conference on Applied mathematics, simulation, modelling
Year:
2010

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Abstract

In this application-oriented investigation we describe a framework and the challenges of registering multimodal brain MR images from a cohort of more than hundred subjects. Image examinations are done three years apart and consist of 3D high-resolution anatomical images, low-resolution tensor-valued DTI recordings and 4D resting state fMRI time series. The registration procedures are incorporated in multi-subject statistical analyses, combining image-derived information with cognitive test results and genotypes. Due to the large number of subjects an automated and time-efficient workflow (e.g. scripting) is strongly desired, putting constraints on the registration methods.