The impact of position-orientation adaptive smoothing in diffusion weighted imaging—From diffusion metrics to fiber tractography

Jia Yang, Barbara Carl, Christopher Nimsky and Miriam H A Bopp

PLOS ONE, 2020, vol. 15, issue 5, 1-18

Abstract: In contrast to commonly used approaches to improve data quality in diffusion weighted imaging, position-orientation adaptive smoothing (POAS) provides an edge-preserving post-processing approach. This study aims to investigate its potential and effects on image quality, diffusion metrics, and fiber tractography of the corticospinal tract in relation to non-post-processed and averaged data. 22 healthy volunteers were included in this study. For each volunteer five clinically applicable diffusion weighted imaging data sets were acquired and post-processed by standard averaging and POAS. POAS post-processing led to significantly higher signal-to-noise-ratios (p

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0233474

DOI: 10.1371/journal.pone.0233474

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