A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

A comparison of diffusion tensor imaging tractography and constrained spherical deconvolution with automatic segmentation in traumatic brain injury




TekijätTallus Jussi, Mohammadian Mehrbod, Kurki Timo, Roine Timo, Posti Jussi P., Tenovuo Olli

KustantajaELSEVIER SCI LTD

Julkaisuvuosi2023

JournalNeuroImage: Clinical

Tietokannassa oleva lehden nimiNEUROIMAGE-CLINICAL

Lehden akronyymiNEUROIMAGE-CLIN

Artikkelin numero 103284

Vuosikerta37

Sivujen määrä9

ISSN2213-1582

eISSN2213-1582

DOIhttps://doi.org/10.1016/j.nicl.2022.103284

Verkko-osoitehttps://doi.org/10.1016/j.nicl.2022.103284

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/178813902


Tiivistelmä
Detection of microstructural white matter injury in traumatic brain injury (TBI) requires specialised imaging methods, of which diffusion tensor imaging (DTI) has been extensively studied. Newer fibre alignment estimation methods, such as constrained spherical deconvolution (CSD), are better than DTI in resolving crossing fibres that are ubiquitous in the brain and may improve the ability to detect microstructural injuries. Furthermore, auto-matic tract segmentation has the potential to improve tractography reliability and accelerate workflow compared to the manual segmentation commonly used. In this study, we compared the results of deterministic DTI based tractography and manual tract segmentation with CSD based probabilistic tractography and automatic tract segmentation using TractSeg. 37 participants with a history of TBI (with Glasgow Coma Scale 13-15) and persistent symptoms, and 41 healthy controls underwent deterministic DTI-based tractography with manual tract segmentation and probabilistic CSD-based tractography with TractSeg automatic segmentation.Fractional anisotropy (FA) and mean diffusivity of corpus callosum and three bilateral association tracts were measured. FA and MD values derived from both tractography methods were generally moderately to strongly correlated. CSD with TractSeg differentiated the groups based on FA, while DTI did not. CSD and TractSeg-based tractography may be more sensitive in detecting microstructural changes associated with TBI than deterministic DTI trac-tography. Additionally, CSD with TractSeg was found to be applicable at lower b-value and number of diffusion-encoding gradients data than previously reported.

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