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. 2012;15(Pt 3):313-20.
doi: 10.1007/978-3-642-33454-2_39.

Registration and analysis of white matter group differences with a multi-fiber model

Maxime Taquet  1 , Benoit Scherrer, Olivier Commowick, Jurriaan Peters, Mustafa Sahin, Benoît Macq, Simon K Warfield
Affiliations

Registration and analysis of white matter group differences with a multi-fiber model

Maxime Taquet et al. Med Image Comput Comput Assist Interv. 2012.

Abstract

Diffusion magnetic resonance imaging has been used extensively to probe the white matter in vivo. Typically, the raw diffusion images are used to reconstruct a diffusion tensor image (DTI). The incapacity of DTI to represent crossing fibers leaded to the development of more sophisticated diffusion models. Among them, multi-fiber models represent each fiber bundle independently, allowing the direct extraction of diffusion features for population analysis. However, no method exists to properly register multi-fiber models, seriously limiting their use in group comparisons. This paper presents a registration and atlas construction method for multi-fiber models. The validity of the registration is demonstrated on a dataset of 45 subjects, including both healthy and unhealthy subjects. Morphometry analysis and tract-based statistics are then carried out, proving that multi-fiber models registration is better at detecting white matter local differences than single tensor registration.

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Figures

Fig. 1
Fig. 1
Comparison of the single tensor and multi-fiber registration in terms of the SSD between eigenvalues after alignment, for different regularization parameter [6]. Multi-fiber registration significantly improves the quality of the registration.
Fig. 2
Fig. 2
(top) The two-tensor atlas built by means of the developed registration method reveals crossing pathways common to all anatomies. (bottom) p-value maps of the white matter shrinkage after correction for multiple comparisons. Multi-fiber registration reveals more differences than single tensor registration and DT-REFinD
Fig. 3
Fig. 3
(a) Arcuate fasciculus, a set of fibers involved in language, on which tract based statistics was performed, (b) The FA profile in TSC patients shows significantly disrupted white matter fascicules in different clusters, indicated by the stars.
See this image and copyright information in PMC

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