Biomedical Imaging GroupSTI
English only   BIG > Publications > Volumetric Morphometry

 Home Page
 News & Events
 Tutorials and Reviews
 Download Algorithms

 All BibTeX References

An Evaluation of Volume-Based Morphometry for Prediction of Mild Cognitive Impairment and Alzheimer's Disease

D. Schmitter, A. Roche, B. Maréchal, D. Ribes, A. Abdulkadir, M. Bach Cuadra, A. Daducci, C. Granziera, S. Klöppel, P. Maeder, R. Meuli, G. Krueger

NeuroImage: Clinical, vol. 7, pp. 7-17, 2015.

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable fairly accurate automated classification of AD patients, mild cognitive impaired patients (MCI) and elderly controls. Little is known, however, about the classification power of volume-based morphometry, where features of interest consist of a few brain structure volumes (e.g. hippocampi, lobes, ventricles) as opposed to hundreds of thousands of voxel-wise gray matter concentrations. In this work, we experimentally evaluate two distinct volume-based morphometry algorithms (FreeSurfer and an in-house algorithm called MorphoBox) for automatic disease classification on a standardized data set from the Alzheimer's Disease Neuroimaging Initiative. Results indicate that both algorithms achieve classification accuracy comparable to the conventional whole-brain voxel-based morphometry pipeline using SPM for AD vs elderly controls and MCI vs controls, and higher accuracy for classification of AD vs MCI and early vs late AD converters, thereby demonstrating the potential of volume-based morphometry to assist diagnosis of mild cognitive impairment and Alzheimer's disease.

AUTHOR="Schmitter, D. and Roche, A. and Mar{\'{e}}chal, B. and Ribes, D.
        and Abdulkadir, A. and Bach-Cuadra, M. and Daducci, A. and
        Granziera, C. and Kl{\"{o}}ppel, S. and Maeder, P. and Meuli, R. and
        Krueger, G.",
TITLE="An Evaluation of Volume-Based Morphometry for Prediction of Mild
        Cognitive Impairment and {A}lzheimer's Disease",
JOURNAL="NeuroImage: Clinical",

© 2015 Elsevier. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from Elsevier.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.