title: An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.
abstract: 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.
authors.affiliation: Advanced Clinical Imaging Technology, Siemens Healthcare Sector, CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland ; Biomedical Imaging Group, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland.
authors.forename: Daniel
authors.initials: D
authors.lastname: Schmitter
authors.affiliation: Advanced Clinical Imaging Technology, Siemens Healthcare Sector, CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland ; Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), CH-1015 Lausanne, Switzerland ; Signal Processing Laboratory 5, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland.
authors.forename: Alexis
authors.initials: A
authors.lastname: Roche
authors.affiliation: Advanced Clinical Imaging Technology, Siemens Healthcare Sector, CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland ; Signal Processing Laboratory 5, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland.
authors.forename: Bénédicte
authors.initials: B
authors.lastname: Maréchal
authors.affiliation: Advanced Clinical Imaging Technology, Siemens Healthcare Sector, CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland.
authors.forename: Delphine
authors.initials: D
authors.lastname: Ribes
authors.affiliation: Group of Pattern Recognition and Image Processing, University of Freiburg, D-79110 Freiburg, Germany.
authors.forename: Ahmed
authors.initials: A
authors.lastname: Abdulkadir
authors.affiliation: Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), CH-1015 Lausanne, Switzerland ; Signal Processing Laboratory 5, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland.
authors.forename: Meritxell
authors.initials: M
authors.lastname: Bach-Cuadra
authors.affiliation: Signal Processing Laboratory 5, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland.
authors.forename: Alessandro
authors.initials: A
authors.lastname: Daducci
authors.affiliation: Service of Neurology, Centre Hospitalier Universitaire Vaudois (CHUV), CH-1015 Lausanne, Switzerland ; Advanced Clinical Imaging Technology, Siemens Healthcare Sector, CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland ; Signal Processing Laboratory 5, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland.
authors.forename: Cristina
authors.initials: C
authors.lastname: Granziera
authors.affiliation: Group of Pattern Recognition and Image Processing, University of Freiburg, D-79110 Freiburg, Germany.
authors.forename: Stefan
authors.initials: S
authors.lastname: Klöppel
authors.affiliation: Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), CH-1015 Lausanne, Switzerland.
authors.forename: Philippe
authors.initials: P
authors.lastname: Maeder
authors.affiliation: Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), CH-1015 Lausanne, Switzerland.
authors.forename: Reto
authors.initials: R
authors.lastname: Meuli
authors.affiliation: Advanced Clinical Imaging Technology, Siemens Healthcare Sector, CH-1015 Lausanne, Switzerland ; Centre d'Imagerie BioMédicale (CIBM), CH-1015 Lausanne, Switzerland ; Signal Processing Laboratory 5, Ecole Polytechnique Fédérale (EPFL), CH-1015 Lausanne, Switzerland.
authors.forename: Gunnar
authors.initials: G
authors.lastname: Krueger
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D000544:Alzheimer Disease / Q000145:classification / Q000473:pathology*; D001921:Brain / Q000473:pathology*; D016022:Case-Control Studies; D060825:Cognitive Dysfunction / Q000145:classification / Q000473:pathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D008875:Middle Aged; D015203:Reproducibility of Results
keywords: Alzheimer's disease; Brain morphometry; Classification; Image segmentation; Magnetic resonance imaging; Mild cognitive impairment; Support vector machine