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exploredti v4.8.6  (MathWorks Inc)


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    Structured Review

    MathWorks Inc exploredti v4.8.6
    Exploredti V4.8.6, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/exploredti+v4%2E8%2E6/pm39941538-94-12-15
    Average 90 stars, based on 1 article reviews
    exploredti v4.8.6 - by Bioz Stars, 2026-09
    90/100 stars

    Images

    Related Articles

    Diffusion-based Assay:

    Article Title: Cerebellar white matter in young adults with a familial risk for psychosis.
    Article Snippet: Preprocessing of DWI data was carried out in ExploreDTI v4.8.6 (Leemans et al., 2009) in MATLAB R2016a (The MathWorks, Inc., Natick, Massachusetts, United States).

    Article Title: Comparison of In Vivo and Ex Vivo Magnetic Resonance Imaging in a Rat Model for Glioblastoma-Associated Epilepsy
    Article Snippet: DTI data processing and analyses were performed using ExploreDTI v4.8.6 (in Matlab 2017b) to extract MD images.

    Article Title: Can Pain Neuroscience Education Combined with Cognition-Targeted Exercise Therapy Change White Matter Structure in People with Chronic Spinal Pain? A Randomized Controlled Trial
    Article Snippet: The diffusion-weighted imaging data were analyzed and processed in ExploreDTI v4.8.6 with MATLAB vR2017b (MathWorks, Natick, MA, USA) [ ] using the following procedure: diffusion-weighted imaging volumes were looped at a high frame rate to check for obvious artifacts in the data, such as large signal dropouts and geometric distortions.

    Article Title: Brain white matter after pediatric mild traumatic brain injury: a diffusion tensor and neurite orientation and dispersion imaging study
    Article Snippet: The diffusion-weighted images (b900 and b2000) were corrected for eddy current distortions, motion artifact, and Gibbs ringing, and were tensor fitted using ExploreDTI v4.8.6 running on MATLAB v8.6.0 R2018a (MathWorks Inc., Natick, MA).

    Article Title: Structural connectome differences in pediatric mild traumatic brain and orthopedic injury
    Article Snippet: ExploreDTI v4.8.6 in MATLAB R2019a was used to calculate the diffusion tensor, conduct whole brain fiber tractography, and compute a connectivity matrix for each participant using the preprocessed diffusion‐weighted images (Leemans, Jeurissen, Sijbers, & Jones, ).

    Article Title: Can Pain Neuroscience Education Combined with Cognition-Targeted Exercise Therapy Change White Matter Structure in People with Chronic Spinal Pain? A Randomized Controlled Trial.
    Article Snippet: Diffusion-Weighted Imaging Processing The diffusion-weighted imaging data were analyzed and processed in ExploreDTI v4.8.6 with MATLAB vR2017b (MathWorks, Natick, MA, USA) [37] using the following procedure: diffusion-weighted imaging volumes were looped at a high frame rate to check for obvious artifacts in the data, such as large signal dropouts and geometric distortions.

    Article Title: Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
    Article Snippet: The diffusion-weighted images (b900 and b2000) were corrected for eddy current distortions, motion artifact, and Gibbs ringing, and were tensor fitted using ExploreDTI v4.8.6 running on MATLAB v8.6.0 R2018a (MathWorks Inc., Natick, MA).

    Imaging:

    Article Title: Cerebellar white matter in young adults with a familial risk for psychosis.
    Article Snippet: Preprocessing of DWI data was carried out in ExploreDTI v4.8.6 (Leemans et al., 2009) in MATLAB R2016a (The MathWorks, Inc., Natick, Massachusetts, United States).

    Article Title: Comparison of In Vivo and Ex Vivo Magnetic Resonance Imaging in a Rat Model for Glioblastoma-Associated Epilepsy
    Article Snippet: DTI data processing and analyses were performed using ExploreDTI v4.8.6 (in Matlab 2017b) to extract MD images.

    Article Title: Can Pain Neuroscience Education Combined with Cognition-Targeted Exercise Therapy Change White Matter Structure in People with Chronic Spinal Pain? A Randomized Controlled Trial
    Article Snippet: The diffusion-weighted imaging data were analyzed and processed in ExploreDTI v4.8.6 with MATLAB vR2017b (MathWorks, Natick, MA, USA) [ ] using the following procedure: diffusion-weighted imaging volumes were looped at a high frame rate to check for obvious artifacts in the data, such as large signal dropouts and geometric distortions.

    Article Title: Brain white matter after pediatric mild traumatic brain injury: a diffusion tensor and neurite orientation and dispersion imaging study
    Article Snippet: The diffusion-weighted images (b900 and b2000) were corrected for eddy current distortions, motion artifact, and Gibbs ringing, and were tensor fitted using ExploreDTI v4.8.6 running on MATLAB v8.6.0 R2018a (MathWorks Inc., Natick, MA).

    Article Title: Structural connectome differences in pediatric mild traumatic brain and orthopedic injury
    Article Snippet: ExploreDTI v4.8.6 in MATLAB R2019a was used to calculate the diffusion tensor, conduct whole brain fiber tractography, and compute a connectivity matrix for each participant using the preprocessed diffusion‐weighted images (Leemans, Jeurissen, Sijbers, & Jones, ).

    Article Title: Can Pain Neuroscience Education Combined with Cognition-Targeted Exercise Therapy Change White Matter Structure in People with Chronic Spinal Pain? A Randomized Controlled Trial.
    Article Snippet: Diffusion-Weighted Imaging Processing The diffusion-weighted imaging data were analyzed and processed in ExploreDTI v4.8.6 with MATLAB vR2017b (MathWorks, Natick, MA, USA) [37] using the following procedure: diffusion-weighted imaging volumes were looped at a high frame rate to check for obvious artifacts in the data, such as large signal dropouts and geometric distortions.

    Article Title: Examining brain white matter after pediatric mild traumatic brain injury using neurite orientation dispersion and density imaging: An A-CAP study
    Article Snippet: The diffusion-weighted images (b900 and b2000) were corrected for eddy current distortions, motion artifact, and Gibbs ringing, and were tensor fitted using ExploreDTI v4.8.6 running on MATLAB v8.6.0 R2018a (MathWorks Inc., Natick, MA).



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