Shifting from region of interest (ROI) to voxel-based analysis in human brain mapping

被引：61

作者：

Astrakas, Loukas G. ^{[1
]}

Argyropoulou, Maria I. ^{[1
]}

机构：

[1] Univ Ioannina, Sch Med, GR-45110 Ioannina, Greece

来源：

PEDIATRIC RADIOLOGY | 2010年 / 40卷 / 12期

关键词：

Voxel-wise analysis; Voxel-based analysis; Statistical parametric maps; MRI; MAGNETIC-RESONANCE IMAGES; SPATIAL NORMALIZATION; MORPHOMETRIC-ANALYSIS; PROBABILISTIC ATLAS; HISTOGRAM ANALYSIS; MULTIPLE-SCLEROSIS; BAYESIAN-INFERENCE; MUTUAL-INFORMATION; MEDICAL IMAGES; IMAGING DATA;

D O I：

10.1007/s00247-010-1677-8

中图分类号：

R72 [儿科学];

学科分类号：

100202 ;

摘要：

Current clinical studies involve multidimensional high-resolution images containing an overwhelming amount of structural and functional information. The analysis of such a wealth of information is becoming increasingly difficult yet necessary in order to improve diagnosis, treatment and healthcare. Voxel-wise analysis is a class of modern methods of image processing in the medical field with increased popularity. It has replaced manual region of interest (ROI) analysis and has provided tools to make statistical inferences at voxel level. The introduction of voxel-based analysis software in all modern commercial scanners allows clinical use of these techniques. This review will explain the main principles, advantages and disadvantages behind these methods of image analysis.

引用

页码：1857 / 1867

页数：11

共 113 条

[51]

JAIN RC, 1995, INTRO MACHINE VISION

[52] Neonatal probabilistic models for brain, CSF and skull using T1-MRI data: preliminary results [J].

Kazemi, K. ;

Ghadimi, S. ;

Abrishami-Moghaddam, H. ;

Grebe, R. ;

Gondry-Jouet, C. ;

Wallois, F. .

2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, :3892-+

[53] A neonatal atlas template for spatial normalization of whole-brain magnetic resonance images of newborns: Preliminary results [J].

Kazemi, Kamran ;

Moghaddam, Hamid Abrishami ;

Grebe, Reinhard ;

Gondry-Jouet, Catherine ;

Wallois, Fabrice .

NEUROIMAGE, 2007, 37 (02) :463-473

[54]

KOCAK M, 2009, PEDIATR RADIOL, V39, pS456

[55]

KOMATSU H, 2009, BRAIN DEV 1027

[56]

Laird Angela R, 2009, Front Neuroinform, V3, P23, DOI 10.3389/neuro.11.023.2009

[57]

Law M, 2007, AM J NEURORADIOL, V28, P761

[58] A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis [J].

Lee, Jee Eun ;

Chung, Moo K. ;

Lazar, Mariana ;

DuBray, Molly B. ;

Kim, Jinsuh ;

Bigler, Erin D. ;

Lainhart, Janet E. ;

Alexander, Andrew L. .

NEUROIMAGE, 2009, 44 (03) :870-883

[59] Bayesian kernel methods for analysis of functional neuroimages [J].

Lukic, Ana S. ;

Wernick, Miles N. ;

Tzikas, Dimitris G. ;

Chen, Xu ;

Likas, Aristidis ;

Galatsanos, Nikolas P. ;

Yang, Yongyi ;

Zhao, Fuqiang ;

Strother, Stephen C. .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 2007, 26 (12) :1613-1624

[60] Subjects With Intellectual Disability and Familial Need for Full-Time Special Education Show Regional Brain Alterations: A Voxel-Based Morphometry Study [J].

Mannerkoski, Minna K. ;

Heiskala, Hannu J. ;

Van Leemput, Koen ;

Aberg, Laura E. ;

Raininko, Raili ;

Hamaiainen, Janne ;

Autti, Taina H. .

PEDIATRIC RESEARCH, 2009, 66 (03) :306-311

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