The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment

Gloria Díaz; Gonzalo Pajares; Eduardo Romero; Juan Alvarez-Linera; Eva López; Juan Antonio Hernández-Tamames; Norberto Malpica

doi:10.1007/978-3-642-15314-3_8

The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment

Gloria Díaz^*
, Gonzalo Pajares
, Eduardo Romero
, Juan Alvarez-Linera
, Eva López
, Juan Antonio Hernández-Tamames
, Norberto Malpica

^*Corresponding author for this work

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

3 Citations (Scopus)

Abstract

Quantitative analysis on diffusion tensor imaging (DTI) has shown be useful in the study of disease-related degeneration. More and more studies perform voxel-by-voxel comparisons of fractional anisotropy (FA) values, aiming at detecting white matter alterations. Overall, there is no agreement about how the normalization stage should be performed. The purpose of this study was to evaluate the effect of the normalization strategy on voxel-based analysis of DTI images, using the performance of a classification approach as objective measure of normalization quality. This is achieved by using a Support Vector Machine (SVM) which constructs a decision surface that allows binary classification with two types of regions, generated after a statistical evaluation of the grey level values of regions detected as statistically significant in a FA analysis.

Original language	English
Title of host publication	Brain Informatics - International Conference, BI 2010, Proceedings
Pages	78-88
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-15314-3_8
Publication status	Published - 2010
Externally published	Yes
Event	2010 International Conference on Brain Informatics, BI 2010 - Toronto, ON, Canada Duration: 28 Aug 2010 → 30 Aug 2010

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6334 LNAI
ISSN	0302-9743

Conference

Conference	2010 International Conference on Brain Informatics, BI 2010
Country/Territory	Canada
City	Toronto, ON
Period	28/08/10 → 30/08/10

Bibliographical note

Funding Information:
★Gloria Díaz is supported by a grant from the Colombian Department Technology and Innovation (COLCIENCIAS), Grant no. 109-2005.

Access to Document

10.1007/978-3-642-15314-3_8

Cite this

Díaz, Gloria ; Pajares, Gonzalo ; Romero, Eduardo et al. / The effect of the normalization strategy on voxel-based analysis of DTI images : A pattern recognition based assessment. Brain Informatics - International Conference, BI 2010, Proceedings. 2010. pp. 78-88 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6334 LNAI).

@inproceedings{b9f1fce328af4e4f9f972d4a4efdc0db,

title = "The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment",

abstract = "Quantitative analysis on diffusion tensor imaging (DTI) has shown be useful in the study of disease-related degeneration. More and more studies perform voxel-by-voxel comparisons of fractional anisotropy (FA) values, aiming at detecting white matter alterations. Overall, there is no agreement about how the normalization stage should be performed. The purpose of this study was to evaluate the effect of the normalization strategy on voxel-based analysis of DTI images, using the performance of a classification approach as objective measure of normalization quality. This is achieved by using a Support Vector Machine (SVM) which constructs a decision surface that allows binary classification with two types of regions, generated after a statistical evaluation of the grey level values of regions detected as statistically significant in a FA analysis.",

author = "Gloria D{\'i}az and Gonzalo Pajares and Eduardo Romero and Juan Alvarez-Linera and Eva L{\'o}pez and Hern{\'a}ndez-Tamames, \{Juan Antonio\} and Norberto Malpica",

note = "Funding Information: ★Gloria D{\'i}az is supported by a grant from the Colombian Department Technology and Innovation (COLCIENCIAS), Grant no. 109-2005.; 2010 International Conference on Brain Informatics, BI 2010 ; Conference date: 28-08-2010 Through 30-08-2010",

year = "2010",

doi = "10.1007/978-3-642-15314-3\_8",

language = "English",

isbn = "3642153135",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Díaz, G, Pajares, G, Romero, E, Alvarez-Linera, J, López, E, Hernández-Tamames, JA & Malpica, N 2010, The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment. in Brain Informatics - International Conference, BI 2010, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6334 LNAI, pp. 78-88, 2010 International Conference on Brain Informatics, BI 2010, Toronto, ON, Canada, 28/08/10. https://doi.org/10.1007/978-3-642-15314-3_8

The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment. / Díaz, Gloria; Pajares, Gonzalo; Romero, Eduardo et al.
Brain Informatics - International Conference, BI 2010, Proceedings. 2010. p. 78-88 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6334 LNAI).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

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T2 - 2010 International Conference on Brain Informatics, BI 2010

AU - Díaz, Gloria

AU - Pajares, Gonzalo

AU - Romero, Eduardo

AU - Alvarez-Linera, Juan

AU - López, Eva

AU - Hernández-Tamames, Juan Antonio

AU - Malpica, Norberto

N1 - Funding Information: ★Gloria Díaz is supported by a grant from the Colombian Department Technology and Innovation (COLCIENCIAS), Grant no. 109-2005.

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Y1 - 2010

N2 - Quantitative analysis on diffusion tensor imaging (DTI) has shown be useful in the study of disease-related degeneration. More and more studies perform voxel-by-voxel comparisons of fractional anisotropy (FA) values, aiming at detecting white matter alterations. Overall, there is no agreement about how the normalization stage should be performed. The purpose of this study was to evaluate the effect of the normalization strategy on voxel-based analysis of DTI images, using the performance of a classification approach as objective measure of normalization quality. This is achieved by using a Support Vector Machine (SVM) which constructs a decision surface that allows binary classification with two types of regions, generated after a statistical evaluation of the grey level values of regions detected as statistically significant in a FA analysis.

AB - Quantitative analysis on diffusion tensor imaging (DTI) has shown be useful in the study of disease-related degeneration. More and more studies perform voxel-by-voxel comparisons of fractional anisotropy (FA) values, aiming at detecting white matter alterations. Overall, there is no agreement about how the normalization stage should be performed. The purpose of this study was to evaluate the effect of the normalization strategy on voxel-based analysis of DTI images, using the performance of a classification approach as objective measure of normalization quality. This is achieved by using a Support Vector Machine (SVM) which constructs a decision surface that allows binary classification with two types of regions, generated after a statistical evaluation of the grey level values of regions detected as statistically significant in a FA analysis.

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Díaz G, Pajares G, Romero E, Alvarez-Linera J, López E, Hernández-Tamames JA et al. The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment. In Brain Informatics - International Conference, BI 2010, Proceedings. 2010. p. 78-88. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6334 LNAI). doi: 10.1007/978-3-642-15314-3_8

The effect of the normalization strategy on voxel-based analysis of DTI images: A pattern recognition based assessment

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