Automated Segmentation and Volumetric Analysis of Brain Components on MR Imaging

被引：0

作者：

Silva, Marcelo P. ^{[1
]}

Damasceno, Jean R. ^{[1
]}

Seixas, Flavio L. ^{[1
]}

de Souza, Andrea Silveira ^{[2
]}

Muchaluat Saade, Debora C. ^{[1
]}

机构：

[1] Univ Fed Fluminense, Telecommun Engn Dept, Rua Passo Patria,156 Sao Domingos, Niteroi, RJ, Brazil

[2] LABS Rede DOr, Div Radiol, Rio De Janeiro, RJ, Brazil

来源：

APPLIED COMPUTING 2008, VOLS 1-3 | 2008年

关键词：

Automated Segmentation; VBM; Anatomical Atlas; Magnetic Resonance; Brain Components; Volumetric Analysis;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

As the world population has been growing old, the incidence of several brain diseases, including dementia, has risen. As a consequence, a greater demand for automated segmentation methods and volumetric analysis of the brain structure and its components has increased. This work is based on the use of image processing algorithms and previous knowledge statistical models for automated segmentation over 386 magnetic resonance exams. We analyze brain components considering two different image subsets: non-demented and demented individuals. Our results demonstrate gray and white matter loss, and CSF enlargement with aging.

引用

页码：1422 / +

页数：2

共 9 条

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

Ashburner, J ;

Friston, KJ .

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

[2]

BAKSHI, 2005, J NEUROIMAGING, V15

[3]

BUCKNER, 2004, NEUROIMAGE, V23

[4]

CHAIMA, 2006, PSYCHIAT RES NEUROIM

[5] Normal brain development and aging: Quantitative analysis at in vivo MR imaging in healthy volunteers [J].

Courchesne, E ;

Chisum, HJ ;

Townsend, J ;

Cowles, A ;

Covington, J ;

Egaas, B ;

Harwood, M ;

Hinds, S ;

Press, GA .

RADIOLOGY, 2000, 216 (03) :672-682

[6]

DANIEL, OPEN ACCESS STRUCTUR

[7]

FOTENOS, 2005, NEUROLOGY, V64

[8]

GE, 2002, AJNR, V23, P1327

[9] THE CLINICAL DEMENTIA RATING (CDR) - CURRENT VERSION AND SCORING RULES [J].

MORRIS, JC .

NEUROLOGY, 1993, 43 (11) :2412-2414

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