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Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis

Co-registration of structural T1-weighted (T1w) scans and diffusion tensor imaging (DTI)-derived fractional anisotropy (FA) maps to a common space is of particular interest in neuroimaging, as T1w scans can be used for brain segmentation while DTI can provide microstructural tissue information. While the effect of lesions on registration has been tackled and solutions are available, the issue of atrophy is still open to discussion. Multi-channel (MC) registration algorithms have the advantage of maintaining anatomical correspondence between different contrast images after registration to any target space. In this work, we test the performance of an MC registration approach applied to T1w and FA data using simulated brain atrophy images. Experimental results are compared with a standard single-channel registration approach. Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis Both qualitative and quantitative evaluations are presented, showing that the MC approach provides better alignment with the target while maintaining better T1w and FA co-alignment

This work has also been partially supported by “La Fundació la Marató de TV3” and by Retos de Investigación TIN2014-55710-R

© Functional Neurology, 2015, vol. 30, núm. 4, p. 245-256

CIC Edizioni internazionali

Author: Roura Perez, Eloy
Schneider, Torben
Modat, Marc
Daga, Pankaj
Muhlert, Nils
Chard, Declan
Ourselin, Sebastien
Lladó Bardera, Xavier
Wheeler-Kingshott, Claudia Gandini
Date: 2015
Abstract: Co-registration of structural T1-weighted (T1w) scans and diffusion tensor imaging (DTI)-derived fractional anisotropy (FA) maps to a common space is of particular interest in neuroimaging, as T1w scans can be used for brain segmentation while DTI can provide microstructural tissue information. While the effect of lesions on registration has been tackled and solutions are available, the issue of atrophy is still open to discussion. Multi-channel (MC) registration algorithms have the advantage of maintaining anatomical correspondence between different contrast images after registration to any target space. In this work, we test the performance of an MC registration approach applied to T1w and FA data using simulated brain atrophy images. Experimental results are compared with a standard single-channel registration approach. Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis Both qualitative and quantitative evaluations are presented, showing that the MC approach provides better alignment with the target while maintaining better T1w and FA co-alignment
This work has also been partially supported by “La Fundació la Marató de TV3” and by Retos de Investigación TIN2014-55710-R
Format: application/pdf
ISSN: 0393-5264 (versió paper)
1971-3274 (Versió electrònica)
Document access: http://hdl.handle.net/10256/13153
Language: eng
Publisher: CIC Edizioni internazionali
Collection: MINECO/PE 2015-2017/TIN2014-55710-R
Reproducció digital del document publicat a: http://dx.doi.org/10.11138/FNeur/2015.30.4.245
Articles publicats (D-ATC)
Is part of: © Functional Neurology, 2015, vol. 30, núm. 4, p. 245-256
Rights: Tots els drets reservats
Subject: Esclerosi múltiple
Multiple sclerosis
Imatge -- Segmentació
Imaging segmentation
Imatges -- Processament -- Tècniques digitals
Image processing -- Digital techniques
Title: Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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