phantom data Search Results


hoffman 3d brain phantom  (Data Spectrum Corporation)
90
Data Spectrum Corporation hoffman 3d brain phantom
Reconstructed and post-filtered images of the <t>Hoffman</t> <t>3D</t> brain phantom from HCB circle-and-helix (CH), FB and PB CO acquisitions along with the reference bitmap images. Three transaxial slices in a caudal-to-cranial order, and central sagittal (bottom left) and coronal (bottom right) slices are shown for each acquisition type and the bitmaps. Profiles are drawn over the images to compare the noise level and reconstruction quality.
Hoffman 3d Brain Phantom, supplied by Data Spectrum Corporation, 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/hoffman 3d brain phantom/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
hoffman 3d brain phantom - by Bioz Stars, 2026-06
90/100 stars
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nema body phantom set  (Data Spectrum Corporation)
90
Data Spectrum Corporation nema body phantom set
Reconstructed and post-filtered images of the <t>Hoffman</t> <t>3D</t> brain phantom from HCB circle-and-helix (CH), FB and PB CO acquisitions along with the reference bitmap images. Three transaxial slices in a caudal-to-cranial order, and central sagittal (bottom left) and coronal (bottom right) slices are shown for each acquisition type and the bitmaps. Profiles are drawn over the images to compare the noise level and reconstruction quality.
Nema Body Phantom Set, supplied by Data Spectrum Corporation, 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/nema body phantom set/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
nema body phantom set - by Bioz Stars, 2026-06
90/100 stars
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adult human phantom data (correlation)  (Siemens AG)
90
Siemens AG adult human phantom data (correlation)
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Adult Human Phantom Data (Correlation), supplied by Siemens AG, 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/adult human phantom data (correlation)/product/Siemens AG
Average 90 stars, based on 1 article reviews
adult human phantom data (correlation) - by Bioz Stars, 2026-06
90/100 stars
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pelvis phantom  (Data Spectrum Corporation)
90
Data Spectrum Corporation pelvis phantom
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Pelvis Phantom, supplied by Data Spectrum Corporation, 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/pelvis phantom/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
pelvis phantom - by Bioz Stars, 2026-06
90/100 stars
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micro cold-disk phantom  (Data Spectrum Corporation)
90
Data Spectrum Corporation micro cold-disk phantom
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Micro Cold Disk Phantom, supplied by Data Spectrum Corporation, 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/micro cold-disk phantom/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
micro cold-disk phantom - by Bioz Stars, 2026-06
90/100 stars
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anthropomorphic torso phantom ect/tor/p  (Data Spectrum Corporation)
90
Data Spectrum Corporation anthropomorphic torso phantom ect/tor/p
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Anthropomorphic Torso Phantom Ect/Tor/P, supplied by Data Spectrum Corporation, 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/anthropomorphic torso phantom ect/tor/p/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
anthropomorphic torso phantom ect/tor/p - by Bioz Stars, 2026-06
90/100 stars
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acr phantom data spectrum  (Data Spectrum Corporation)
90
Data Spectrum Corporation acr phantom data spectrum
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Acr Phantom Data Spectrum, supplied by Data Spectrum Corporation, 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/acr phantom data spectrum/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
acr phantom data spectrum - by Bioz Stars, 2026-06
90/100 stars
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standard jaszczak phantom  (Data Spectrum Corporation)
90
Data Spectrum Corporation standard jaszczak phantom
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Standard Jaszczak Phantom, supplied by Data Spectrum Corporation, 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/standard jaszczak phantom/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
standard jaszczak phantom - by Bioz Stars, 2026-06
90/100 stars
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hoffman 2d brain phantom data spectrum  (Data Spectrum Corporation)
90
Data Spectrum Corporation hoffman 2d brain phantom data spectrum
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Hoffman 2d Brain Phantom Data Spectrum, supplied by Data Spectrum Corporation, 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/hoffman 2d brain phantom data spectrum/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
hoffman 2d brain phantom data spectrum - by Bioz Stars, 2026-06
90/100 stars
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scatter phantom  (Data Spectrum Corporation)
90
Data Spectrum Corporation scatter phantom
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Scatter Phantom, supplied by Data Spectrum Corporation, 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/scatter phantom/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
scatter phantom - by Bioz Stars, 2026-06
90/100 stars
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5 cm-diameter cylindrical phantom micro hollow sphere phantom  (Data Spectrum Corporation)
90
Data Spectrum Corporation 5 cm-diameter cylindrical phantom micro hollow sphere phantom
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
5 Cm Diameter Cylindrical Phantom Micro Hollow Sphere Phantom, supplied by Data Spectrum Corporation, 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/5 cm-diameter cylindrical phantom micro hollow sphere phantom/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
5 cm-diameter cylindrical phantom micro hollow sphere phantom - by Bioz Stars, 2026-06
90/100 stars
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nema iec body phantom set  (Data Spectrum Corporation)
90
Data Spectrum Corporation nema iec body phantom set
Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) <t>Connectomes</t> are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.
Nema Iec Body Phantom Set, supplied by Data Spectrum Corporation, 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/nema iec body phantom set/product/Data Spectrum Corporation
Average 90 stars, based on 1 article reviews
nema iec body phantom set - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

Image Search Results


Reconstructed and post-filtered images of the Hoffman 3D brain phantom from HCB circle-and-helix (CH), FB and PB CO acquisitions along with the reference bitmap images. Three transaxial slices in a caudal-to-cranial order, and central sagittal (bottom left) and coronal (bottom right) slices are shown for each acquisition type and the bitmaps. Profiles are drawn over the images to compare the noise level and reconstruction quality.

Journal:

Article Title: Quantitative Evaluation of Half-Cone-Beam Scan Paths in Triple-Camera Brain SPECT

doi: 10.1109/TNS.2008.2003255

Figure Lengend Snippet: Reconstructed and post-filtered images of the Hoffman 3D brain phantom from HCB circle-and-helix (CH), FB and PB CO acquisitions along with the reference bitmap images. Three transaxial slices in a caudal-to-cranial order, and central sagittal (bottom left) and coronal (bottom right) slices are shown for each acquisition type and the bitmaps. Profiles are drawn over the images to compare the noise level and reconstruction quality.

Article Snippet: A Hoffman 3D brain phantom (Model BR/3D/P, Data Spectrum Corp., Hillsborough, NC 27278-2300) was used in the experimental study.

Techniques:

Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) Connectomes are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.

Journal: Human brain mapping

Article Title: Structural Network Topology Correlates of Microstructural Brain Dysmaturation in Term Infants with Congenital Heart Disease

doi: 10.1002/hbm.24308

Figure Lengend Snippet: Flowchart depicting the data processing stream. (Right stream) The λ1 images are spatially coregistered to a neonatal T2-weighted template (step not shown) and FA images are transformed into standard space using those transformations in order to construct a study-specific FA neonatal template. The template is back-transformed into native space, along with the neonatal parcellation atlas in order to define gray matter regions in native space. (Left stream) A white matter segmentation is performed in SPM8 using the FA images and neonatal GM, WM, and CSF templates. Tractography is then performed starting from each white matter voxel, which avoids the use of a strict FA threshold. (Bottom) Connectomes are computed using either: adjacency (the matrix has 0 or 1 depending on whether there is at least one streamline connecting two regions), average FA (across all streamlines connecting two regions), or the total # of streamlines connecting two regions.

Article Snippet: Connectome Metric Adult Human Phantom Data (Correlation) Infant Data (Between-Subject Variability) Siemens (CHP) Philips (CHLA) GE (CHP) Adjacency Cost 0.71 0.0085 0.0081 0.0085 # of Tracts Cost 0.84 0.091 0.0850 0.080 Average FA Cost 0.66 0.0028 0.0023 0.0041 Adjacency Global Efficiency 0.81 0.027 0.036 0.034 # of Tracts Global Efficiency 0.91 0.44 0.45 0.41 Average FA Global Efficiency 0.81 0.114 0.117 0.178 Open in a separate window Global Metrics

Techniques: Transformation Assay, Construct

Comparison between CHD neonates pre-operatively vs. normal healthy controls (average FA connectome): (A) comparison of network cost and global efficiency (values normalized to unity average graph weight); (B) Comparison of nodal efficiency (all regions significant at FDR-corrected q < 0.05); (C) comparison of DTI metrics FA, RD, MD, and AD (hot colors = CHD > controls, cold colors = CHD < controls, all regions significant at FWE-corrected p < 0.05).

Journal: Human brain mapping

Article Title: Structural Network Topology Correlates of Microstructural Brain Dysmaturation in Term Infants with Congenital Heart Disease

doi: 10.1002/hbm.24308

Figure Lengend Snippet: Comparison between CHD neonates pre-operatively vs. normal healthy controls (average FA connectome): (A) comparison of network cost and global efficiency (values normalized to unity average graph weight); (B) Comparison of nodal efficiency (all regions significant at FDR-corrected q < 0.05); (C) comparison of DTI metrics FA, RD, MD, and AD (hot colors = CHD > controls, cold colors = CHD < controls, all regions significant at FWE-corrected p < 0.05).

Article Snippet: Connectome Metric Adult Human Phantom Data (Correlation) Infant Data (Between-Subject Variability) Siemens (CHP) Philips (CHLA) GE (CHP) Adjacency Cost 0.71 0.0085 0.0081 0.0085 # of Tracts Cost 0.84 0.091 0.0850 0.080 Average FA Cost 0.66 0.0028 0.0023 0.0041 Adjacency Global Efficiency 0.81 0.027 0.036 0.034 # of Tracts Global Efficiency 0.91 0.44 0.45 0.41 Average FA Global Efficiency 0.81 0.114 0.117 0.178 Open in a separate window Global Metrics

Techniques: Comparison

Comparison between CHD neonates post-operatively vs. normal healthy controls (average FA connectome): (A) comparison of network cost and global efficiency (values normalized to unity average graph weight); (B) Comparison of nodal efficiency (all regions significant at FDR-corrected q < 0.05); (C) comparison of DTI metrics FA, RD, MD, and AD (hot colors = CHD > controls, cold colors = CHD < controls, all regions significant at FWE-corrected p < 0.05).

Journal: Human brain mapping

Article Title: Structural Network Topology Correlates of Microstructural Brain Dysmaturation in Term Infants with Congenital Heart Disease

doi: 10.1002/hbm.24308

Figure Lengend Snippet: Comparison between CHD neonates post-operatively vs. normal healthy controls (average FA connectome): (A) comparison of network cost and global efficiency (values normalized to unity average graph weight); (B) Comparison of nodal efficiency (all regions significant at FDR-corrected q < 0.05); (C) comparison of DTI metrics FA, RD, MD, and AD (hot colors = CHD > controls, cold colors = CHD < controls, all regions significant at FWE-corrected p < 0.05).

Article Snippet: Connectome Metric Adult Human Phantom Data (Correlation) Infant Data (Between-Subject Variability) Siemens (CHP) Philips (CHLA) GE (CHP) Adjacency Cost 0.71 0.0085 0.0081 0.0085 # of Tracts Cost 0.84 0.091 0.0850 0.080 Average FA Cost 0.66 0.0028 0.0023 0.0041 Adjacency Global Efficiency 0.81 0.027 0.036 0.034 # of Tracts Global Efficiency 0.91 0.44 0.45 0.41 Average FA Global Efficiency 0.81 0.114 0.117 0.178 Open in a separate window Global Metrics

Techniques: Comparison

Comparisons between CHD neonates pre- and post-operatively vs. normal healthy controls: comparison of network cost and global efficiency (values normalized to unity average graph weight) for # tracts connectome (A, C) and adjacency connectome (E, G); Comparison of nodal efficiency (all regions significant at FDR-corrected q < 0.05) for # tracts connectome (B, D) and adjacency connectome (F, H).

Journal: Human brain mapping

Article Title: Structural Network Topology Correlates of Microstructural Brain Dysmaturation in Term Infants with Congenital Heart Disease

doi: 10.1002/hbm.24308

Figure Lengend Snippet: Comparisons between CHD neonates pre- and post-operatively vs. normal healthy controls: comparison of network cost and global efficiency (values normalized to unity average graph weight) for # tracts connectome (A, C) and adjacency connectome (E, G); Comparison of nodal efficiency (all regions significant at FDR-corrected q < 0.05) for # tracts connectome (B, D) and adjacency connectome (F, H).

Article Snippet: Connectome Metric Adult Human Phantom Data (Correlation) Infant Data (Between-Subject Variability) Siemens (CHP) Philips (CHLA) GE (CHP) Adjacency Cost 0.71 0.0085 0.0081 0.0085 # of Tracts Cost 0.84 0.091 0.0850 0.080 Average FA Cost 0.66 0.0028 0.0023 0.0041 Adjacency Global Efficiency 0.81 0.027 0.036 0.034 # of Tracts Global Efficiency 0.91 0.44 0.45 0.41 Average FA Global Efficiency 0.81 0.114 0.117 0.178 Open in a separate window Global Metrics

Techniques: Comparison

Correlation of DTI metrics (FA, RD, MD, AD) with global efficiency for pre-operative CHD (A, C, E) and post-operative CHD (B, D, F) for average FA connectome (A, B), # of tracts connectome (C, D) and adjacency connectome (E, F). (Hot colors = positive correlation, cold colors = negative correlation, all regions significant at FWE-corrected p < 0.05).

Journal: Human brain mapping

Article Title: Structural Network Topology Correlates of Microstructural Brain Dysmaturation in Term Infants with Congenital Heart Disease

doi: 10.1002/hbm.24308

Figure Lengend Snippet: Correlation of DTI metrics (FA, RD, MD, AD) with global efficiency for pre-operative CHD (A, C, E) and post-operative CHD (B, D, F) for average FA connectome (A, B), # of tracts connectome (C, D) and adjacency connectome (E, F). (Hot colors = positive correlation, cold colors = negative correlation, all regions significant at FWE-corrected p < 0.05).

Article Snippet: Connectome Metric Adult Human Phantom Data (Correlation) Infant Data (Between-Subject Variability) Siemens (CHP) Philips (CHLA) GE (CHP) Adjacency Cost 0.71 0.0085 0.0081 0.0085 # of Tracts Cost 0.84 0.091 0.0850 0.080 Average FA Cost 0.66 0.0028 0.0023 0.0041 Adjacency Global Efficiency 0.81 0.027 0.036 0.034 # of Tracts Global Efficiency 0.91 0.44 0.45 0.41 Average FA Global Efficiency 0.81 0.114 0.117 0.178 Open in a separate window Global Metrics

Techniques: