Issues with threshold masking in voxel-based morphometry of atrophied brains

被引：259

作者：

Ridgway, Gerard R. ^{[2
]}

Omar, Rohani ^{[1
]}

Ourselin, Sebastien ^{[2
]}

Hill, Derek L. G. ^{[2
]}

Warren, Jason D. ^{[1
]}

Fox, Nick C. ^{[1
]}

机构：

[1] UCL, Inst Neurol, DRC, London WC1N 3BG, England

[2] UCL, Dept Med Phys & Bioengn, CMIC, London WC1E 6BT, England

来源：

NEUROIMAGE | 2009年 / 44卷 / 01期

基金：

英国医学研究理事会; 英国工程与自然科学研究理事会; 英国惠康基金;

关键词：

Computational anatomy; Voxel-based morphometry; Alzheimer's disease; Threshold masking; Analysis mask; IMAGE-ANALYSIS; VALIDATION; DISEASE; MAPS; SEGMENTATION; REGISTRATION; ACTIVATION;

D O I：

10.1016/j.neuroimage.2008.08.045

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

There is great interest in using automatic computational neuroanatomy tools to study ageing and neurodegenerative disease. Voxel-based morphometry (VBM) is one of the most widely used of such techniques. VBM performs voxel-wise statistical analysis of smoothed spatially normalised segmented Magnetic Resonance Images. There are several reasons why the analysis should include only voxels within a certain mask. We show that one of the most commonly used strategies for de. ning this mask runs a major risk of excluding from the analysis precisely those voxels where the subjects' brains were most vulnerable to atrophy. We investigate the issues related to mask construction, and recommend the use of alternative strategies which greatly decrease this danger of false negatives. (C) 2008 Elsevier Inc. All rights reserved.

引用

页码：99 / 111

页数：13

共 27 条

[1] The impact of skull-stripping and radio-frequency bins correction on grey-matter segmentation for voxel-based morphometry [J].

Acosta-Cabronero, Julio ;

Williams, Guy B. ;

Pereira, Joao M. S. ;

Pengas, George ;

Nestor, Peter J. .

NEUROIMAGE, 2008, 39 (04) :1654-1665

[2] Voxel-based morphometry - The methods [J].

Ashburner, J ;

Friston, KJ .

NEUROIMAGE, 2000, 11 (06) :805-821

[3] Unified segmentation [J].

Ashburner, J ;

Friston, KJ .

NEUROIMAGE, 2005, 26 (03) :839-851

[4] A fast diffeomorphic image registration algorithm [J].

Ashburner, John .

NEUROIMAGE, 2007, 38 (01) :95-113

[5] Twenty new digital brain phantoms for creation of validation image data bases [J].

Aubert-Broche, Berengere ;

Griffin, Mark ;

Pike, G. Bruce ;

Evans, Alan C. ;

Collins, D. Louis .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, 25 (11) :1410-1416

[6] Permutation testing made practical for functional magnetic resonance image analysis [J].

Belmonte, M ;

Yurgelun-Todd, D .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2001, 20 (03) :243-248

[7]

Cocosco C., 1997, NEUROIMAGE, V5, pS425, DOI DOI 10.1016/S1053-8119(97)80018-3

[8] Generalized overlap measures for evaluation and validation in medical image analysis [J].

Crum, William R. ;

Camara, Oscar ;

Hill, Derek L. G. .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2006, 25 (11) :1451-1461

[9] Bayesian decoding of brain images [J].

Friston, Karl J. ;

Chu, Carlton ;

Mourao-Miranda, Janaina ;

Hulme, Oliver ;

Rees, Geraint ;

Penny, Will ;

Ashburner, John .

NEUROIMAGE, 2008, 39 (01) :181-205

[10] Thresholding of statistical maps in functional neuroimaging using the false discovery rate [J].

Genovese, CR ;

Lazar, NA ;

Nichols, T .

NEUROIMAGE, 2002, 15 (04) :870-878

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