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pipeline for analyzing brain diffusion images (panda) toolbox  (MathWorks Inc)


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    MathWorks Inc pipeline for analyzing brain diffusion images (panda) toolbox
    Pipeline For Analyzing Brain Diffusion Images (Panda) Toolbox, 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/brain+diffusion+images/pm40551062-73-13-19
    Average 90 stars, based on 1 article reviews
    pipeline for analyzing brain diffusion images (panda) toolbox - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Diffusion-based Assay:

    Article Title: Alterations in white matter microstructural properties after lingual strength exercise in patients with dysphagia
    Article Snippet: .. Data Preprocessing All diffusion data were processed using the “Pipeline for Analyzing braiN Diffusion images” (PANDA): a toolbox implemented in MATLAB (http://www.nitrc.org/projects/ panda/).9 This software employs several neuroimaging processing modules including the FMRIB Software Library (FSL), the Pipeline System for Octave and MATLAB (PSOM), the Diffusion Toolkit, the MRIcron to automatically perform a series of steps (i.e., skull removal, correction of eddy current distortion, build diffusion tensor models).9 Tract-Based Spatial Statistics (TBSS) were employed to evaluate voxel-based group differences for the values of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD)9 and Local Diffusion Homogeneity (LDH).10 TBSS involves constructing a skeleton from the mean metric values of all aligned images following normalization, and subsequently projecting the obtained FA, MD, AD, RD, and LDH values from each participant onto this skeleton. .. Diffusion metrics for each participant were extracted for 20 tracts identified from the Johns Hopkins University (JHU)-ICBM-DTI-81 white matter atlas.9 Each global mean metric (FA, MD, AD, RD, and LDH) for each participant was obtained by averaging across the 20 tracts, and diffusion metric for each tract was divided by this global mean to account for any variability between participants, and the standardized metric was used in further statistical analysis.

    Software:

    Article Title: Alterations in white matter microstructural properties after lingual strength exercise in patients with dysphagia
    Article Snippet: .. Data Preprocessing All diffusion data were processed using the “Pipeline for Analyzing braiN Diffusion images” (PANDA): a toolbox implemented in MATLAB (http://www.nitrc.org/projects/ panda/).9 This software employs several neuroimaging processing modules including the FMRIB Software Library (FSL), the Pipeline System for Octave and MATLAB (PSOM), the Diffusion Toolkit, the MRIcron to automatically perform a series of steps (i.e., skull removal, correction of eddy current distortion, build diffusion tensor models).9 Tract-Based Spatial Statistics (TBSS) were employed to evaluate voxel-based group differences for the values of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD)9 and Local Diffusion Homogeneity (LDH).10 TBSS involves constructing a skeleton from the mean metric values of all aligned images following normalization, and subsequently projecting the obtained FA, MD, AD, RD, and LDH values from each participant onto this skeleton. .. Diffusion metrics for each participant were extracted for 20 tracts identified from the Johns Hopkins University (JHU)-ICBM-DTI-81 white matter atlas.9 Each global mean metric (FA, MD, AD, RD, and LDH) for each participant was obtained by averaging across the 20 tracts, and diffusion metric for each tract was divided by this global mean to account for any variability between participants, and the standardized metric was used in further statistical analysis.



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    Stroke lesions in the brain area on MRI. (a) Lesion in thalamus showed on <t>MRI–DWI.</t> (b) Lesion in thalamus showed on MRI–ADC image. (c) Lesion on putamen showed on MRI–DWI. (d) Lesion on thalamus indicated on MRI–ADC image. ADC: apparent diffusion coefficient; DWI: <t>diffusion-weighted</t> imaging; MRI: magnetic resonance imaging.
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    Image Search Results


    Stroke lesions in the brain area on MRI. (a) Lesion in thalamus showed on MRI–DWI. (b) Lesion in thalamus showed on MRI–ADC image. (c) Lesion on putamen showed on MRI–DWI. (d) Lesion on thalamus indicated on MRI–ADC image. ADC: apparent diffusion coefficient; DWI: diffusion-weighted imaging; MRI: magnetic resonance imaging.

    Journal: SAGE Open Medicine

    Article Title: Stroke-related restless leg syndrome in hemorrhagic and ischemic stroke patients

    doi: 10.1177/20503121251336900

    Figure Lengend Snippet: Stroke lesions in the brain area on MRI. (a) Lesion in thalamus showed on MRI–DWI. (b) Lesion in thalamus showed on MRI–ADC image. (c) Lesion on putamen showed on MRI–DWI. (d) Lesion on thalamus indicated on MRI–ADC image. ADC: apparent diffusion coefficient; DWI: diffusion-weighted imaging; MRI: magnetic resonance imaging.

    Article Snippet: All patients were evaluated by brain magnetic resonance imaging (MRI) with diffusion-weighted imaging (DWI) at 1.5 T (Siemens, Erlangen, Germany) within 7 days after the onset of symptoms to confirm acute ischemic or hemorrhagic stroke.

    Techniques: Diffusion-based Assay, Imaging, Magnetic Resonance Imaging