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spinal cord cst atlas  (Cell Signaling Technology Inc)


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    Structured Review

    Cell Signaling Technology Inc spinal cord cst atlas
    Processing pipeline. Brain data processing: (1) semi-automatic lesion segmentation on 3D T2-FLAIR or axial T2-weighted images (when 3D T2-FLAIR was not available); (2a) intra-subject linear registration between T2-FLAIR and T1-weighted images; (2b) Affine and non-linear registration between T1-weighted images and the T1 ICBM 1 mm isotropic template space; and (3) quantification of lesion volume fraction based on brain and brainstem <t>CST</t> atlases. <t>Spinal</t> <t>cord</t> data processing: (1) manual lesion segmentation on axial T2*-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST <t>atlas.</t> To create the lesion frequency maps, brain and spinal cord lesion masks were averaged in the ICBM and PAM50 space, respectively.
    Spinal Cord Cst Atlas, supplied by Cell Signaling Technology 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/spinal cord cst atlas/product/Cell Signaling Technology Inc
    Average 90 stars, based on 1 article reviews
    spinal cord cst atlas - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability"

    Article Title: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability

    Journal: Brain

    doi: 10.1093/brain/awaa162

    Processing pipeline. Brain data processing: (1) semi-automatic lesion segmentation on 3D T2-FLAIR or axial T2-weighted images (when 3D T2-FLAIR was not available); (2a) intra-subject linear registration between T2-FLAIR and T1-weighted images; (2b) Affine and non-linear registration between T1-weighted images and the T1 ICBM 1 mm isotropic template space; and (3) quantification of lesion volume fraction based on brain and brainstem CST atlases. Spinal cord data processing: (1) manual lesion segmentation on axial T2*-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas. To create the lesion frequency maps, brain and spinal cord lesion masks were averaged in the ICBM and PAM50 space, respectively.
    Figure Legend Snippet: Processing pipeline. Brain data processing: (1) semi-automatic lesion segmentation on 3D T2-FLAIR or axial T2-weighted images (when 3D T2-FLAIR was not available); (2a) intra-subject linear registration between T2-FLAIR and T1-weighted images; (2b) Affine and non-linear registration between T1-weighted images and the T1 ICBM 1 mm isotropic template space; and (3) quantification of lesion volume fraction based on brain and brainstem CST atlases. Spinal cord data processing: (1) manual lesion segmentation on axial T2*-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas. To create the lesion frequency maps, brain and spinal cord lesion masks were averaged in the ICBM and PAM50 space, respectively.

    Techniques Used:

    Lesion frequency in the brain, brainstem and cervical spinal cord. (A) Lesion frequency maps for the whole cohort and for each disease phenotype. The CST are indicated in red contour. (B) Lesion frequency along the CST for each phenotype subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. When interpreting this graph, it is important to keep in mind that the lesion frequencies are normalized by the CST volume.
    Figure Legend Snippet: Lesion frequency in the brain, brainstem and cervical spinal cord. (A) Lesion frequency maps for the whole cohort and for each disease phenotype. The CST are indicated in red contour. (B) Lesion frequency along the CST for each phenotype subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. When interpreting this graph, it is important to keep in mind that the lesion frequencies are normalized by the CST volume.

    Techniques Used:

    Absolute and normalized lesion volumes for each phenotype, measured in the whole CST, in the brain, brainstem and spinal cord portion of the CST. ***P < 0.0001, **P < 0.001, *P < 0.05. For clarity, only significant differences between relapsing-remitting and progressive phenotypes are reported, and not between clinically isolated syndrome and other phenotypes. For each box plot, the median is indicated as a thick horizontal line and the interquartile range as a rectangle. The horizontal bar at both extremities of the whiskers indicates the 5th and 95th percentiles. The circles indicate outliers.
    Figure Legend Snippet: Absolute and normalized lesion volumes for each phenotype, measured in the whole CST, in the brain, brainstem and spinal cord portion of the CST. ***P < 0.0001, **P < 0.001, *P < 0.05. For clarity, only significant differences between relapsing-remitting and progressive phenotypes are reported, and not between clinically isolated syndrome and other phenotypes. For each box plot, the median is indicated as a thick horizontal line and the interquartile range as a rectangle. The horizontal bar at both extremities of the whiskers indicates the 5th and 95th percentiles. The circles indicate outliers.

    Techniques Used: Isolation

    Frequency of multiple sclerosis lesions in the brain, brainstem and spinal cord for patients grouped by pyramidal functional system score. (A) Lesion frequency maps. Pyramidal functional system score (FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). The CST is indicated in red contour. (B) Lesion frequency along the CST for each pyramidal functional system score subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. Pyramidal functional system score (py FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). When interpreting this graph, it is important to note that the lesion frequencies are normalized by the CST volume.
    Figure Legend Snippet: Frequency of multiple sclerosis lesions in the brain, brainstem and spinal cord for patients grouped by pyramidal functional system score. (A) Lesion frequency maps. Pyramidal functional system score (FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). The CST is indicated in red contour. (B) Lesion frequency along the CST for each pyramidal functional system score subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. Pyramidal functional system score (py FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). When interpreting this graph, it is important to note that the lesion frequencies are normalized by the CST volume.

    Techniques Used: Functional Assay

    Multivariate linear regression of EDSS, pyramidal functional system score, 9HPT and TWT
    Figure Legend Snippet: Multivariate linear regression of EDSS, pyramidal functional system score, 9HPT and TWT

    Techniques Used: Functional Assay



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    spinal cord cst atlas  (Cell Signaling Technology Inc)
    90
    Cell Signaling Technology Inc spinal cord cst atlas
    Processing pipeline. Brain data processing: (1) semi-automatic lesion segmentation on 3D T2-FLAIR or axial T2-weighted images (when 3D T2-FLAIR was not available); (2a) intra-subject linear registration between T2-FLAIR and T1-weighted images; (2b) Affine and non-linear registration between T1-weighted images and the T1 ICBM 1 mm isotropic template space; and (3) quantification of lesion volume fraction based on brain and brainstem <t>CST</t> atlases. <t>Spinal</t> <t>cord</t> data processing: (1) manual lesion segmentation on axial T2*-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST <t>atlas.</t> To create the lesion frequency maps, brain and spinal cord lesion masks were averaged in the ICBM and PAM50 space, respectively.
    Spinal Cord Cst Atlas, supplied by Cell Signaling Technology 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/spinal cord cst atlas/product/Cell Signaling Technology Inc
    Average 90 stars, based on 1 article reviews
    spinal cord cst atlas - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Processing pipeline. Brain data processing: (1) semi-automatic lesion segmentation on 3D T2-FLAIR or axial T2-weighted images (when 3D T2-FLAIR was not available); (2a) intra-subject linear registration between T2-FLAIR and T1-weighted images; (2b) Affine and non-linear registration between T1-weighted images and the T1 ICBM 1 mm isotropic template space; and (3) quantification of lesion volume fraction based on brain and brainstem CST atlases. Spinal cord data processing: (1) manual lesion segmentation on axial T2*-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas. To create the lesion frequency maps, brain and spinal cord lesion masks were averaged in the ICBM and PAM50 space, respectively.

    Journal: Brain

    Article Title: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability

    doi: 10.1093/brain/awaa162

    Figure Lengend Snippet: Processing pipeline. Brain data processing: (1) semi-automatic lesion segmentation on 3D T2-FLAIR or axial T2-weighted images (when 3D T2-FLAIR was not available); (2a) intra-subject linear registration between T2-FLAIR and T1-weighted images; (2b) Affine and non-linear registration between T1-weighted images and the T1 ICBM 1 mm isotropic template space; and (3) quantification of lesion volume fraction based on brain and brainstem CST atlases. Spinal cord data processing: (1) manual lesion segmentation on axial T2*-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas. To create the lesion frequency maps, brain and spinal cord lesion masks were averaged in the ICBM and PAM50 space, respectively.

    Article Snippet: Spinal cord data processing: (1) manual lesion segmentation on axial T 2 *-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas.

    Techniques:

    Lesion frequency in the brain, brainstem and cervical spinal cord. (A) Lesion frequency maps for the whole cohort and for each disease phenotype. The CST are indicated in red contour. (B) Lesion frequency along the CST for each phenotype subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. When interpreting this graph, it is important to keep in mind that the lesion frequencies are normalized by the CST volume.

    Journal: Brain

    Article Title: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability

    doi: 10.1093/brain/awaa162

    Figure Lengend Snippet: Lesion frequency in the brain, brainstem and cervical spinal cord. (A) Lesion frequency maps for the whole cohort and for each disease phenotype. The CST are indicated in red contour. (B) Lesion frequency along the CST for each phenotype subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. When interpreting this graph, it is important to keep in mind that the lesion frequencies are normalized by the CST volume.

    Article Snippet: Spinal cord data processing: (1) manual lesion segmentation on axial T 2 *-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas.

    Techniques:

    Absolute and normalized lesion volumes for each phenotype, measured in the whole CST, in the brain, brainstem and spinal cord portion of the CST. ***P < 0.0001, **P < 0.001, *P < 0.05. For clarity, only significant differences between relapsing-remitting and progressive phenotypes are reported, and not between clinically isolated syndrome and other phenotypes. For each box plot, the median is indicated as a thick horizontal line and the interquartile range as a rectangle. The horizontal bar at both extremities of the whiskers indicates the 5th and 95th percentiles. The circles indicate outliers.

    Journal: Brain

    Article Title: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability

    doi: 10.1093/brain/awaa162

    Figure Lengend Snippet: Absolute and normalized lesion volumes for each phenotype, measured in the whole CST, in the brain, brainstem and spinal cord portion of the CST. ***P < 0.0001, **P < 0.001, *P < 0.05. For clarity, only significant differences between relapsing-remitting and progressive phenotypes are reported, and not between clinically isolated syndrome and other phenotypes. For each box plot, the median is indicated as a thick horizontal line and the interquartile range as a rectangle. The horizontal bar at both extremities of the whiskers indicates the 5th and 95th percentiles. The circles indicate outliers.

    Article Snippet: Spinal cord data processing: (1) manual lesion segmentation on axial T 2 *-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas.

    Techniques: Isolation

    Frequency of multiple sclerosis lesions in the brain, brainstem and spinal cord for patients grouped by pyramidal functional system score. (A) Lesion frequency maps. Pyramidal functional system score (FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). The CST is indicated in red contour. (B) Lesion frequency along the CST for each pyramidal functional system score subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. Pyramidal functional system score (py FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). When interpreting this graph, it is important to note that the lesion frequencies are normalized by the CST volume.

    Journal: Brain

    Article Title: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability

    doi: 10.1093/brain/awaa162

    Figure Lengend Snippet: Frequency of multiple sclerosis lesions in the brain, brainstem and spinal cord for patients grouped by pyramidal functional system score. (A) Lesion frequency maps. Pyramidal functional system score (FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). The CST is indicated in red contour. (B) Lesion frequency along the CST for each pyramidal functional system score subcohort. For each axial slice (1-mm slice thickness), the CST lesion frequency median and interquartile range are represented by a solid line and shaded region, respectively. The CST segments are demarcated by dashed vertical lines. Pyramidal functional system score (py FSS) subgroups: low pyramidal functional system score (0), medium pyramidal functional system score (1–2), high pyramidal functional system score (≥3). When interpreting this graph, it is important to note that the lesion frequencies are normalized by the CST volume.

    Article Snippet: Spinal cord data processing: (1) manual lesion segmentation on axial T 2 *-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas.

    Techniques: Functional Assay

    Multivariate linear regression of EDSS, pyramidal functional system score, 9HPT and TWT

    Journal: Brain

    Article Title: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability

    doi: 10.1093/brain/awaa162

    Figure Lengend Snippet: Multivariate linear regression of EDSS, pyramidal functional system score, 9HPT and TWT

    Article Snippet: Spinal cord data processing: (1) manual lesion segmentation on axial T 2 *-weighted images; (2) slice-wise non-linear registration to the PAM50 template; and (3) Quantification of lesion volume fraction based on a spinal cord CST atlas.

    Techniques: Functional Assay