Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease

Acosta, Oscar, Fripp, Jurgen, Dore, Vincent, Bourgeat, Pierrick, Favreau, Jean-Marie, Chetelat, Gaël, Rueda, Andrea, Villemagne, Victor L., Szoeke, Cassandra, Ames, David, Ellis, Kathryn A., Martins, Ralph N., Masters, Colin L., Rowe, Christopher C., Bonner, Erik, Gris, Florence, Xiao, Di, Raniga, Parnesh, Barra, Vincent and Salvado, Olivier (2012) Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease. Journal of Neuroscience Methods, 205 1: 96-109. doi:10.1016/j.jneumeth.2011.12.011


Author Acosta, Oscar
Fripp, Jurgen
Dore, Vincent
Bourgeat, Pierrick
Favreau, Jean-Marie
Chetelat, Gaël
Rueda, Andrea
Villemagne, Victor L.
Szoeke, Cassandra
Ames, David
Ellis, Kathryn A.
Martins, Ralph N.
Masters, Colin L.
Rowe, Christopher C.
Bonner, Erik
Gris, Florence
Xiao, Di
Raniga, Parnesh
Barra, Vincent
Salvado, Olivier
Title Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease
Journal name Journal of Neuroscience Methods   Check publisher's open access policy
ISSN 0165-0270
1872-678X
Publication date 2012-03
Year available 2011
Sub-type Article (original research)
DOI 10.1016/j.jneumeth.2011.12.011
Volume 205
Issue 1
Start page 96
End page 109
Total pages 14
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2013
Language eng
Formatted abstract
Magnetic resonance (MR) provides a non-invasive way to investigate changes in the brain resulting from aging or neurodegenerative disorders such as Alzheimer’s disease (AD). Performing accurate analysis for population studies is challenging because of the interindividual anatomical variability. A large set of tools is found to perform studies of brain anatomy and population analysis (FreeSurfer, SPM, FSL). In this paper we present a newly developed surface-based processing pipeline (MILXCTE) that allows accurate vertex-wise statistical comparisons of brain modifications, such as cortical thickness (CTE). The brain is first segmented into the three main tissues: white matter, gray matter and cerebrospinal fluid, after CTE is computed, a topology corrected mesh is generated. Partial inflation and non-rigid registration of cortical surfaces to a common space using shape context are then performed. Each of the steps was firstly validated using MR images from the OASIS database. We then applied the pipeline to a sample of individuals randomly selected from the AIBL study on AD and compared with FreeSurfer. For a population of 50 individuals we found correlation of cortical thickness in all the regions of the brain (average r = 0.62 left and r = 0.64 right hemispheres). We finally computed changes in atrophy in 32 AD patients and 81 healthy elderly individuals. Significant differences were found in regions known to be affected in AD. We demonstrated the validity of the method for use in clinical studies which provides an alternative to well established techniques to compare different imaging biomarkers for the study of neurodegenerative diseases.
Keyword Cortical mapping
Surface registration
Partially inflated surfaces
Cortical thickness
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ
Additional Notes Published online 29 December 2011.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
School of Information Technology and Electrical Engineering Publications
Centre for Advanced Imaging Publications
 
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