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simnibs-hr  (Windhoff Inc)

 
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    Structured Review

    Windhoff Inc simnibs-hr
    Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in <t>SimNIBS</t> (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017) . Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: / —comparing segmentation; —comparing electric field distribution; —validating each pipeline using actual recordings.
    Simnibs Hr, supplied by Windhoff 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/result/simnibs-hr/product/Windhoff Inc
    Average 90 stars, based on 1 article reviews
    simnibs-hr - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline"

    Article Title: Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline

    Journal: Journal of neural engineering

    doi: 10.1088/1741-2552/ab208d

    Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in SimNIBS (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017) . Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: / —comparing segmentation; —comparing electric field distribution; —validating each pipeline using actual recordings.
    Figure Legend Snippet: Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in SimNIBS (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017) . Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: / —comparing segmentation; —comparing electric field distribution; —validating each pipeline using actual recordings.

    Techniques Used: Comparison

    Segmented head tissues from each modeling software that are compared. Refer to <xref ref-type= figure 1 for details on each pipeline. WM: white matter; GM: gray matter; CSF: cerebrospinal fluid." title="Segmented head tissues from each modeling software that are compared. Refer to figure ... " property="contentUrl" width="100%" height="100%"/>
    Figure Legend Snippet: Segmented head tissues from each modeling software that are compared. Refer to figure 1 for details on each pipeline. WM: white matter; GM: gray matter; CSF: cerebrospinal fluid.

    Techniques Used: Software

    Example brain slices (A1), (A2) and 3D renderings (B)–(D) showing the segmentation from different software tools (ROAST, SimNIBS-hr, SimNIBS-hrE, SimNIBS-mm) and the manual segmentation (Manual) of the individual head S1. For the 3D renderings, both the volumetric (vol) and surface (surf) formats are displayed for the CSF and skull generated by SimNIBS-hr. Red arrows indicate the optic foramen and the foramen magnum. Note that SimNIBS-mm is missing portions of midbrain and spinal cord due to is limited FOV. Refer to for the details of the four segmentation methods.
    Figure Legend Snippet: Example brain slices (A1), (A2) and 3D renderings (B)–(D) showing the segmentation from different software tools (ROAST, SimNIBS-hr, SimNIBS-hrE, SimNIBS-mm) and the manual segmentation (Manual) of the individual head S1. For the 3D renderings, both the volumetric (vol) and surface (surf) formats are displayed for the CSF and skull generated by SimNIBS-hr. Red arrows indicate the optic foramen and the foramen magnum. Note that SimNIBS-mm is missing portions of midbrain and spinal cord due to is limited FOV. Refer to for the details of the four segmentation methods.

    Techniques Used: Software, Generated



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    simnibs-hr  (Windhoff Inc)
    90
    Windhoff Inc simnibs-hr
    Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in <t>SimNIBS</t> (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017) . Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: / —comparing segmentation; —comparing electric field distribution; —validating each pipeline using actual recordings.
    Simnibs Hr, supplied by Windhoff 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/result/simnibs-hr/product/Windhoff Inc
    Average 90 stars, based on 1 article reviews
    simnibs-hr - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in SimNIBS (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017) . Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: / —comparing segmentation; —comparing electric field distribution; —validating each pipeline using actual recordings.

    Journal: Journal of neural engineering

    Article Title: Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline

    doi: 10.1088/1741-2552/ab208d

    Figure Lengend Snippet: Candidate pipelines for building a current-flow model of the head. The input is the MRI of an individual, and the output of each pipeline is the predicted electric field distribution. The different pipelines we are evaluating are ROAST, with its variants (ROAST-sg, ROAST-sa, ROAST-gg), three different segmentation options in SimNIBS (SimNIBS-hr, SimNIBS-hrE and SimNIBS-mm), and the approach published in Huang et al (2017) . Data from different methods at different stages in these pipelines are used for comparison, as indicated by the black dots on the dashed vertical lines: / —comparing segmentation; —comparing electric field distribution; —validating each pipeline using actual recordings.

    Article Snippet: The 5th to 7th pipelines in are three different segmentation options in SimNIBS (Version 2.1): headreco (SimNIBS-hr), headreco with CAT12 toolbox (denoted SimNIBS-hrE here) and mri2mesh (SimNIBS-mm) ( Windhoff et al 2011 , Nielsen et al 2018 ).

    Techniques: Comparison

    Segmented head tissues from each modeling software that are compared. Refer to <xref ref-type= figure 1 for details on each pipeline. WM: white matter; GM: gray matter; CSF: cerebrospinal fluid." width="100%" height="100%">

    Journal: Journal of neural engineering

    Article Title: Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline

    doi: 10.1088/1741-2552/ab208d

    Figure Lengend Snippet: Segmented head tissues from each modeling software that are compared. Refer to figure 1 for details on each pipeline. WM: white matter; GM: gray matter; CSF: cerebrospinal fluid.

    Article Snippet: The 5th to 7th pipelines in are three different segmentation options in SimNIBS (Version 2.1): headreco (SimNIBS-hr), headreco with CAT12 toolbox (denoted SimNIBS-hrE here) and mri2mesh (SimNIBS-mm) ( Windhoff et al 2011 , Nielsen et al 2018 ).

    Techniques: Software

    Example brain slices (A1), (A2) and 3D renderings (B)–(D) showing the segmentation from different software tools (ROAST, SimNIBS-hr, SimNIBS-hrE, SimNIBS-mm) and the manual segmentation (Manual) of the individual head S1. For the 3D renderings, both the volumetric (vol) and surface (surf) formats are displayed for the CSF and skull generated by SimNIBS-hr. Red arrows indicate the optic foramen and the foramen magnum. Note that SimNIBS-mm is missing portions of midbrain and spinal cord due to is limited FOV. Refer to for the details of the four segmentation methods.

    Journal: Journal of neural engineering

    Article Title: Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline

    doi: 10.1088/1741-2552/ab208d

    Figure Lengend Snippet: Example brain slices (A1), (A2) and 3D renderings (B)–(D) showing the segmentation from different software tools (ROAST, SimNIBS-hr, SimNIBS-hrE, SimNIBS-mm) and the manual segmentation (Manual) of the individual head S1. For the 3D renderings, both the volumetric (vol) and surface (surf) formats are displayed for the CSF and skull generated by SimNIBS-hr. Red arrows indicate the optic foramen and the foramen magnum. Note that SimNIBS-mm is missing portions of midbrain and spinal cord due to is limited FOV. Refer to for the details of the four segmentation methods.

    Article Snippet: The 5th to 7th pipelines in are three different segmentation options in SimNIBS (Version 2.1): headreco (SimNIBS-hr), headreco with CAT12 toolbox (denoted SimNIBS-hrE here) and mri2mesh (SimNIBS-mm) ( Windhoff et al 2011 , Nielsen et al 2018 ).

    Techniques: Software, Generated