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99
Oxford Instruments mri data
Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
Mri Data, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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86
Kaggle Inc mri ms data
Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
Mri Ms Data, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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86
Biogen Inc date pooled longitudinal mri data
Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
Date Pooled Longitudinal Mri Data, supplied by Biogen Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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86
Philips Healthcare mri data
Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
Mri Data, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mri data/product/Philips Healthcare
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86
Siemens Healthineers mri data
Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
Mri Data, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mri data/product/Siemens Healthineers
Average 86 stars, based on 1 article reviews
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Siemens Healthineers structural mri data
Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on <t>MRI</t> <t>data.</t> Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.
Structural Mri Data, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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86
Philips Healthcare heart cartesian 4d flow mri data
Examples of <t>4D</t> Flow <t>MRI</t> reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.
Heart Cartesian 4d Flow Mri Data, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Kaggle Inc mri data
Examples of <t>4D</t> Flow <t>MRI</t> reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.
Mri Data, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mri data/product/Kaggle Inc
Average 86 stars, based on 1 article reviews
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Kaggle Inc brain mri data
Examples of <t>4D</t> Flow <t>MRI</t> reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.
Brain Mri Data, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/brain mri data/product/Kaggle Inc
Average 86 stars, based on 1 article reviews
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Image Search Results


Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on MRI data. Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.

Journal: bioRxiv

Article Title: Topological defects and coherent myocardial chirality shape torsional heart contraction

doi: 10.64898/2026.04.13.718243

Figure Lengend Snippet: Workflow for the detection of disclination lines. (a) Bar plot representation of the fibre orientation field within the myocardium based on MRI data. Each bar indicates the local fibre direction derived from diffusion tensor imaging. (b-d) Computational pipeline for detecting disclination lines. The cleaning procedure removes artefactual features that do not represent topologically significant disclinations, including: boundary-related fluctuations near tissue surfaces, poorly resolved regions of the right ventricle (RV) where the wall thickness is too thin, and small surface loops that can be trivially resolved. (b) Frobenius norm of the disclination density tensor throughout the myocardium, showing fibre orientational disorder. (c) Extracted cores of regions where the Frobenius norm exhibits significantly large values, identifying potential singular sites. (d) Final result after the cleaning procedure, displaying only the disclination lines that are topologically relevant for cardiac fibre organisation.

Article Snippet: Cardiac geometry was extracted from microscopy images or MRI data using Imaris software (Bitplane, version 10.0.0) to isolate the shape of the myocardium.

Techniques: Derivative Assay, Diffusion-based Assay, Imaging

Examples of 4D Flow MRI reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.

Journal: Magnetic Resonance in Medicine

Article Title: FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites

doi: 10.1002/mrm.70317

Figure Lengend Snippet: Examples of 4D Flow MRI reference magnitude and velocity images (first column) for data from Site A. For each row, columns 2–6 show the differences between the reference and images reconstructed with models trained on 1–5 (Training Set 1–5 respectively) datasets. Note that there are no apparent systematic differences due to the size of the training set.

Article Snippet: Fully‐sampled whole‐heart cartesian 4D flow MRI data were acquired at our institution (referred to as Site A) using a Philips 1.5 T Achieva scanner (Philips Healthcare, Best, The Netherlands) with software version 5.7.1, in 16 healthy volunteers during free breathing.

Techniques: