title: MCI Identification by Joint Learning on Multiple MRI Data.
abstract: The identification of subtle brain changes that are associated with mild cognitive impairment (MCI), the at-risk stage of Alzheimer's disease, is still a challenging task. Different from existing works, which employ multimodal data (e.g., MRI, PET or CSF) to identify MCI subjects from normal elderly controls, we use four MRI sequences, including T1-weighted MRI (T1), Diffusion Tensor Imaging (DTI), Resting-State functional MRI (RS-fMRI) and Arterial Spin Labeling (ASL) perfusion imaging. Since these MRI sequences simultaneously capture various aspects of brain structure and function during clinical routine scan, it simplifies finding the relationship between subjects by incorporating the mutual information among them. To this end, we devise a hypergraph-based semi-supervised learning algorithm. In particular, we first construct a hypergraph for each of MRI sequences separately using a star expansion method with both the training and testing data. A centralized learning is then performed to model the optimal relevance between subjects by incorporating mutual information between different MRI sequences. We then combine all centralized hypergraphs by learning the optimal weight of each hypergraph based on the minimum Laplacian. We apply our proposed method on a cohort of 41 consecutive MCI subjects and 63 age-and-gender matched controls with four MRI sequences. Our method achieves at least a 7.61% improvement in classification accuracy compared to state-of-the-art methods using multiple MRI data.
authors.affiliation: Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
authors.forename: Yue
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
authors.forename: Chong-Yaw
authors.initials: CY
authors.lastname: Wee
authors.affiliation: Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
authors.forename: Minjeong
authors.initials: M
authors.lastname: Kim
authors.affiliation: Division of Psychiatry, Geneva University Hospitals, Switzerland.
authors.forename: Panteleimon
authors.initials: P
authors.lastname: Giannakopoulos
authors.affiliation: Department of Neuroradiology, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Switzerland.
authors.forename: Marie-Louise
authors.initials: ML
authors.lastname: Montandon
authors.affiliation: Department of Neuroradiology, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Switzerland.
authors.forename: Sven
authors.initials: S
authors.lastname: Haller
authors.affiliation: Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC 27599, USA.
authors.forename: Dinggang
authors.initials: D
authors.lastname: Shen