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Comparisons of Reproducibility and Mean Values of Diffusion Tensor Imaging‐Derived Indices between Unipolar and Bipolar Diffusion Pulse Sequences
Author(s) -
Miao HsiaoChien,
Wu MingTing,
Kao EFong,
Chiu YuHsien,
Chou MingChung
Publication year - 2015
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/jon.12231
Subject(s) - reproducibility , diffusion mri , medicine , nuclear medicine , nuclear magnetic resonance , diffusion , pulse (music) , effective diffusion coefficient , biomedical engineering , magnetic resonance imaging , radiology , mathematics , physics , statistics , optics , detector , thermodynamics
Eddy current distortion is an important issue that may influence the quantitative measurements of diffusion tensor imaging (DTI). The corrections of eddy current artifacts could be performed using bipolar diffusion gradients or unipolar gradients with affine registration. Whether the diffusion pulse sequence affects the quantification of DTI indices and the technique that produces more reliable DTI indices in terms of reproducibility both remain unclear. Therefore, the purpose of this study was to compare the reproducibility and mean values of DTI‐derived indices between unipolar and bipolar diffusion pulse sequences based on actual human brain data. Five repeated datasets of unipolar and bipolar DTI were acquired from 10 healthy subjects at different echo times (TEs). The reproducibility and mean values of DTI indices were assessed by calculating the coefficient of variation and mean values of the 5 repeated measurements. The results revealed that the reproducibility and mean values of DTI indices were significantly affected by the pulse sequence. Unipolar DTI exhibited significantly higher reproducibility than bipolar DTI even at the same TE, and the mean values of DTI indices were significantly different between them. Therefore, we concluded that the reproducibility and mean values of DTI indices were significantly influenced by diffusion pulse sequences.