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Evaluation of q-ball metrics for assessing the integrity of the injured spinal cord

Julien Cohen-Adad 1, 2 H. Leblond 2 Aurobrata Ghosh 3 Maxime Descoteaux 4 Rachid Deriche 3 Habib Benali 1 Serge Rossignol 2
3 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique de l'École normale supérieure, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS Paris - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : Assessment of spinal cord integrity following injury is crucial for evaluating the potential for functional rehabilitation [1]. Previous studies showed the benefits of diffusion tensor imaging (DTI) for the non-invasive characterization of the healthy and injured spinal cord [2]. However, biases related to the incapability of DTI to represent complex diffusion profiles suggested the use of less constraining techniques. Recently, we demonstrated that q-ball imaging (QBI) is capable of partly solving fiber crossing information in the intact spinal cord [3]. In this study, we extended the application of QBI in a model of cat partial spinal cord injury and we compared various QBI quantitative metrics to the ones used in DTI. We also proposed an original QBI-based metric to quantify the homogeneity of diffusion directions.
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Julien Cohen-Adad, H. Leblond, Aurobrata Ghosh, Maxime Descoteaux, Rachid Deriche, et al.. Evaluation of q-ball metrics for assessing the integrity of the injured spinal cord. Proceedings ISMRM, May 2009, Honolulu, United States. ⟨inria-00496871⟩

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