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Proceedings Paper

A review of multivariate methods in brain imaging data fusion
Author(s): Jing Sui; Tülay Adali; Yi-Ou Li; Honghui Yang; Vince D. Calhoun
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Paper Abstract

On joint analysis of multi-task brain imaging data sets, a variety of multivariate methods have shown their strengths and been applied to achieve different purposes based on their respective assumptions. In this paper, we provide a comprehensive review on optimization assumptions of six data fusion models, including 1) four blind methods: joint independent component analysis (jICA), multimodal canonical correlation analysis (mCCA), CCA on blind source separation (sCCA) and partial least squares (PLS); 2) two semi-blind methods: parallel ICA and coefficient-constrained ICA (CC-ICA). We also propose a novel model for joint blind source separation (BSS) of two datasets using a combination of sCCA and jICA, i.e., 'CCA+ICA', which, compared with other joint BSS methods, can achieve higher decomposition accuracy as well as the correct automatic source link. Applications of the proposed model to real multitask fMRI data are compared to joint ICA and mCCA; CCA+ICA further shows its advantages in capturing both shared and distinct information, differentiating groups, and interpreting duration of illness in schizophrenia patients, hence promising applicability to a wide variety of medical imaging problems.

Paper Details

Date Published: 9 March 2010
PDF: 11 pages
Proc. SPIE 7626, Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging, 76260D (9 March 2010); doi: 10.1117/12.843922
Show Author Affiliations
Jing Sui, The Mind Research Network (United States)
Tülay Adali, Univ. of Maryland, Baltimore County (United States)
Yi-Ou Li, Univ. of California, San Francisco (United States)
Honghui Yang, The Univ. of New Mexico (United States)
Northwestern Polytechnical Univ. (China)
Vince D. Calhoun, The Mind Research Network (United States)
The Univ. of New Mexico (United States)

Published in SPIE Proceedings Vol. 7626:
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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