2019
DOI: 10.1016/j.neuroimage.2019.116131
|View full text |Cite
|
Sign up to set email alerts
|

Differential tractography as a track-based biomarker for neuronal injury

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
105
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 93 publications
(106 citation statements)
references
References 30 publications
1
105
0
Order By: Relevance
“…The diffusion data pre-processing was performed based on the DSI studio ( http://dsi-studio.labsolver.org ). The following steps were performed, DICOM raw data were reconstructed, motion and eddy current correction was performed, quality control routines were conducted (Yeh et al, 2019b ), b-table was checked by an automatic quality control routine to ensure its accuracy (Schilling et al, 2019 ). The diffusion data were reconstructed in the MNI space using q-space diffeomorphic reconstruction to obtain the spin distribution function (Yeh et al, 2010 ).…”
Section: Methodsmentioning
confidence: 99%
“…The diffusion data pre-processing was performed based on the DSI studio ( http://dsi-studio.labsolver.org ). The following steps were performed, DICOM raw data were reconstructed, motion and eddy current correction was performed, quality control routines were conducted (Yeh et al, 2019b ), b-table was checked by an automatic quality control routine to ensure its accuracy (Schilling et al, 2019 ). The diffusion data were reconstructed in the MNI space using q-space diffeomorphic reconstruction to obtain the spin distribution function (Yeh et al, 2010 ).…”
Section: Methodsmentioning
confidence: 99%
“…We used differential tractography to track the anisotropy difference along WM tracts over time. This technique was developed to compare the dMRI scans of a single patient at different times by mapping the DTI data into a common space and tracing the connectivity alterations through all or specific WM fiber tracts (Yeh et al, 2019). By focusing on the FIGURE 2 | Longitudinal SWAP examinations and statistical analyses were done.…”
Section: Differential Tractographymentioning
confidence: 99%
“…Standardized text describing the workflow is automatically generated, including citations for any software or methods used; see Supplementary Figure S1 and Supplementary Note 2.1. In addition, each preprocessed Diffusion-Weighted Image (DWI) series is accompanied by a quality control (QC) text file that describes the number of dropped slices, head motion summary measures, image dimensions before and after preprocessing, and a useful summary measure of data quality --the neighboring DWI correlation (NDC) 16 .…”
Section: Qsiprep Provides Intuitive Visual Reports and Automated Measmentioning
confidence: 99%