A longitudinal model for variations detection in white matter fiber-bundles

Claudio Stamile; Gabriel Kocevar; Francois Cotton; Salem Hannoun; Francoise Durand-Dubief; Carole Frindel; David Rousseau; Dominique Sappey-Marinier

doi:10.1109/IWSSIP.2015.7314176

A longitudinal model for variations detection in white matter fiber-bundles

Claudio Stamile, Gabriel Kocevar, Francois Cotton, Salem Hannoun, Francoise Durand-Dubief, Carole Frindel, David Rousseau, Dominique Sappey-Marinier

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Processing of longitudinal diffusion tensor imaging (DTI) data is a crucial challenge to better understand pathological mechanisms of complex brain diseases such as multiple sclerosis (MS) where white matter (WM) fiber bundles are variably altered by inflammatory events. In this work, we propose a new fully automated method to detect significant longitudinal changes in diffusivity metrics along WM fiber-bundles. This method consists in two steps: i) preprocessing of longitudinal diffusion acquisitions and WM fiber-bundles extraction, ii) application of a genetic algorithm (GA) to detect 'pathological' changes. This method was applied first, on simulated longitudinal variations, and second, on MS patients longitudinal data. High level of precision, recall and F-Measure were obtained for the detection of small longitudinal changes along the WM fiber-bundles.

Original language	English
Title of host publication	2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015
Editors	Shahjahan Miah, Alena Uus, Panos Liatsis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	57-60
Number of pages	4
ISBN (Electronic)	9781467383530
DOIs	https://doi.org/10.1109/IWSSIP.2015.7314176
Publication status	Published - 2015 Oct 30
Externally published	Yes
Event	22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015 - London, United Kingdom Duration: 2015 Sep 10 → 2015 Sep 12

Publication series

Name	2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015

Conference

Conference	22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015
Country/Territory	United Kingdom
City	London
Period	15/9/10 → 15/9/12

Keywords

Genetic Algorithm
Longitudinal Analysis
Multiple Sclerosis
Tractography
White Matter

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/IWSSIP.2015.7314176

Cite this

Stamile, C., Kocevar, G., Cotton, F., Hannoun, S., Durand-Dubief, F., Frindel, C., Rousseau, D., & Sappey-Marinier, D. (2015). A longitudinal model for variations detection in white matter fiber-bundles. In S. Miah, A. Uus, & P. Liatsis (Eds.), 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015 (pp. 57-60). [7314176] (2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWSSIP.2015.7314176

A longitudinal model for variations detection in white matter fiber-bundles. / Stamile, Claudio; Kocevar, Gabriel; Cotton, Francois et al.

2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015. ed. / Shahjahan Miah; Alena Uus; Panos Liatsis. Institute of Electrical and Electronics Engineers Inc., 2015. p. 57-60 7314176 (2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Stamile, C, Kocevar, G, Cotton, F, Hannoun, S, Durand-Dubief, F, Frindel, C, Rousseau, D & Sappey-Marinier, D 2015, A longitudinal model for variations detection in white matter fiber-bundles. in S Miah, A Uus & P Liatsis (eds), 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015., 7314176, 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 57-60, 22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015, London, United Kingdom, 15/9/10. https://doi.org/10.1109/IWSSIP.2015.7314176

Stamile C, Kocevar G, Cotton F, Hannoun S, Durand-Dubief F, Frindel C et al. A longitudinal model for variations detection in white matter fiber-bundles. In Miah S, Uus A, Liatsis P, editors, 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 57-60. 7314176. (2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015). doi: 10.1109/IWSSIP.2015.7314176

Stamile, Claudio ; Kocevar, Gabriel ; Cotton, Francois et al. / A longitudinal model for variations detection in white matter fiber-bundles. 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015. editor / Shahjahan Miah ; Alena Uus ; Panos Liatsis. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 57-60 (2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015).

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AU - Rousseau, David

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AB - Processing of longitudinal diffusion tensor imaging (DTI) data is a crucial challenge to better understand pathological mechanisms of complex brain diseases such as multiple sclerosis (MS) where white matter (WM) fiber bundles are variably altered by inflammatory events. In this work, we propose a new fully automated method to detect significant longitudinal changes in diffusivity metrics along WM fiber-bundles. This method consists in two steps: i) preprocessing of longitudinal diffusion acquisitions and WM fiber-bundles extraction, ii) application of a genetic algorithm (GA) to detect 'pathological' changes. This method was applied first, on simulated longitudinal variations, and second, on MS patients longitudinal data. High level of precision, recall and F-Measure were obtained for the detection of small longitudinal changes along the WM fiber-bundles.

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A longitudinal model for variations detection in white matter fiber-bundles

Abstract

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Keywords

ASJC Scopus subject areas

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