Hippocampal shape analysis in Alzheimer's disease using functional data analysis

被引：19

作者：

Epifanio, Irene ^{[1
]}

Ventura-Campos, Noelia ^{[2
]}

机构：

[1] Univ Jaume 1, Dept Matemat, Castellon de La Plana 12071, Spain

[2] Univ Jaume 1, Dept Psicol Basica Clin & Psicobiol, Castellon de La Plana 12071, Spain

来源：

STATISTICS IN MEDICINE | 2014年 / 33卷 / 05期

关键词：

functional data analysis; shape analysis; Alzheimer's disease; principal component analysis; independent component analysis; discriminant analysis; MILD COGNITIVE IMPAIRMENT; MULTILAYER PERCEPTRON; CLASSIFICATION; SURFACES; VOLUME; ALGORITHMS; FEATURES;

D O I：

10.1002/sim.5968

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The hippocampus is one of the first affected regions in Alzheimer's disease. The left hippocampi of control subjects, patients with mild cognitive impairment and patients with Alzheimer's disease are represented by spherical harmonics. Functional data analysis is used in the hippocampal shape analysis. Functional principal component analysis and functional independent component analysis are defined for multivariate functions with two arguments. A functional linear discriminant function is also defined. Comparisons with other approaches are carried out. Our functional approach gives promising results, especially in shape classification. Copyright (c) 2013 John Wiley & Sons, Ltd.

引用

页码：867 / 880

页数：14

共 54 条

[41]

Ripley B. D., 2007, Pattern recognition and neural networks

[42] Support vector machine for functional data classification [J].

Rossi, F ;

Villa, N .

NEUROCOMPUTING, 2006, 69 (7-9) :730-742

[43] Functional multi-layer perceptron: a non-linear tool for functional data analysis [J].

Rossi, F ;

Conan-Guez, B .

NEURAL NETWORKS, 2005, 18 (01) :45-60

[44] Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models [J].

Shen, Kai-kai ;

Fripp, Jurgen ;

Meriaudeau, Fabrice ;

Chetelat, Gael ;

Salvado, Olivier ;

Bourgeat, Pierrick .

NEUROIMAGE, 2012, 59 (03) :2155-2166

[45] MODELING THREE-DIMENSIONAL MORPHOLOGICAL STRUCTURES USING SPHERICAL HARMONICS [J].

Shen, Li ;

Farid, Hany ;

McPeek, Mark A. .

EVOLUTION, 2009, 63 (04) :1003-1016

[46]

Stoyan D., 1994, FRACTALS RANDOM SHAP

[47] Boundary and medial shape analysis of the hippocampus in schizophrenia [J].

Styner, M ;

Lieberman, JA ;

Pantazis, D ;

Gerig, G .

MEDICAL IMAGE ANALYSIS, 2004, 8 (03) :197-203

[48] Automatic and robust computation of 3D medial models incorporating object variability [J].

Styner, M ;

Gerig, G ;

Joshi, S ;

Pizer, S .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2003, 55 (2-3) :107-122

[49] Random fields of multivariate test statistics, with applications to shape analysis [J].

Taylor, J. E. ;

Worsley, K. J. .

ANNALS OF STATISTICS, 2008, 36 (01) :1-27

[50] An optimization method for creating semi-isometric flat maps of the cerebral cortex [J].

Timsari, B ;

Leahy, R .

MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2, 2000, 3979 :698-708

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