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26 results for “T1 mapping”

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zenodo40/100

VFA T1 mapping | RTHawk (open) vs Siemens (commercial)

<p>The preliminary variable flip angle (VFA) T1 mapping data acquired using:<br> 1.&nbsp;&nbsp;Fully-open (<a href="https://bit.ly/qMRPullseq">https://bit.ly/qMRPullseq</a>) 3D spoiled gradient-echo based RTHawk application<br> 2.&nbsp; Siemens stock sequence 3D FLASH&nbsp;</p> <p>The analysis (fitting and comparison) can be executed online: <a href="http://bit.ly/qmr_vfat1">http://bit.ly/qmr_vfat1</a>&nbsp;</p> <p>GitHub repository for the code:&nbsp;<a href="https://github.com/agahkarakuzu/ismrm20">https://github.com/agahkarakuzu/ismrm20</a></p>

opencc-by-4.0Dec 2019View details →
zenodo40/100

In vivo parameter maps for: Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools

<p>Quantitative magnetization transfer and relaxometry maps as described in the Paper <em>Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools</em>.</p> <p>.</p>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Data for: Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction (Part 1/2)

<p>Magnetic Resonance Imaging&nbsp;measurement data used in our paper about &quot;Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction&quot;. The data is provided in a&nbsp;file format used by the BART toolbox (DOI:&nbsp;<a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>)</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

Data pertaining to the published article "Quantitative T1 mapping detects blood-brain barrier breakdown in apparently non-enhancing multiple sclerosis lesions" by Donatelli et al., 2023.

<p>Data pertaining to the published article "Quantitative T1 mapping detects blood-brain barrier breakdown in apparently non-enhancing multiple sclerosis lesions" by Donatelli et al., NeuroImage: Clinical (2023).&nbsp;</p><p>PMID: <strong>37717382; </strong>PMCID: <a href="http://www.ncbi.nlm.nih.gov/pmc/articles/pmc10514220/">PMC10514220</a>; DOI: <a href="https://doi.org/10.1016/j.nicl.2023.103509">10.1016/j.nicl.2023.103509</a></p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Data for: Model-based myocardial T1 mapping with sparsity constraints using single-shot inversion-recovery radial FLASH Cardiovascular Magnetic Resonance

<p>Magnetic Resonance Imaging&nbsp;measurement data used in our paper about model-based myocardial T1 mapping with sparsity constraints. The data was obtained using a&nbsp;single-short inversion-recovery radial FLASH sequence and is provided in a&nbsp;file format used by the BART toolbox (<a href="http://doi.org/10.5281/zenodo.592960">DOI: 10.5281/zenodo.592960</a>).</p>

opencc-by-4.0Aug 2019View details →
zenodo32/100

Data for: Model-Based Reconstruction for Simultaneous Multi-Slice T1 Mapping using Single-Shot Inversion-Recovery Radial FLASH

<p>Magnetic Resonance Imaging&nbsp;measurement data used in our paper about &quot;Model-based reconstruction for simultaneous multi-slice T1 mapping using single-shot inversion-recovery&nbsp;radial FLASH&quot; (DOI: <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.28497">10.1002/mrm.28497</a>). The data is provided in a&nbsp;file format used by the BART toolbox (DOI:&nbsp;<a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>).</p>

opencc-by-4.0Aug 2020View details →
zenodo32/100

Data for: Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction (Part 2/2)

<p>Magnetic Resonance Imaging&nbsp;measurement data used in our paper about &quot;Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction&quot;. The data is provided in a&nbsp;file format used by the BART toolbox (DOI:&nbsp;<a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>)</p>

opencc-by-4.0Nov 2022View details →
ClinicalTrials.gov32/100

Native T1 Mapping by Cardiovascular Magnetic Resonance Imaging in Rare Diseases

ClinicalTrials.gov study NCT03199001. IPD Sharing: NO. Countries: 2. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Left Ventricular Stiffness vs. Fibrosis Quantification by T1 Mapping in Heart Failure With Preserved Ejection Fraction

ClinicalTrials.gov study NCT02459626. IPD Sharing: Not stated. Countries: 1. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

T1-mapping by Cardiovascular Magnetic Resonance Imaging to Assess Non-Alcoholic Fatty Liver Disease

ClinicalTrials.gov study NCT04220450. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

IMPRoving Cardiovascular RiSk Stratification Using T1 Mapping in General populatION

ClinicalTrials.gov study NCT04444128. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: Model-based acceleration of Look-Locker T1 mapping

Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promises a quantitative comparison of tissue properties across subjects and scanners. Due to the long scan times of conventional methods, however, the use of quantitative MRI in clinical routine is still very limited. In this work, an acceleration of Inversion-Recovery Look-Locker (IR-LL) T1 mapping is presented. A model-based algorithm is used to iteratively enforce an exponential relaxation model to a highly undersampled radially acquired IR-LL dataset obtained after the application of a single global inversion pulse. Using the proposed technique, a T1 map of a single slice with 1.6mm in-plane resolution and 4mm slice thickness can be reconstructed from data acquired in only 6s. A time-consuming segmented IR experiment was used as gold standard for T1 mapping in this work. In the subsequent validation study, the model-based reconstruction of a single-inversion IR-LL dataset exhibited a T1 difference of less than 2.6% compared to the segmented IR-LL reference in a phantom consisting of vials with T1 values between 200ms and 3000ms. In vivo, the T1 difference was smaller than 5.5% in WM and GM of seven healthy volunteers. Additionally, the T1 values are comparable to standard literature values. Despite the high acceleration, all model-based reconstructions were of a visual quality comparable to fully sampled references. Finally, the reproducibility of the T1 mapping method was demonstrated in repeated acquisitions. In conclusion, the presented approach represents a promising way for fast and accurate T1 mapping using radial IR-LL acquisitions without the need of any segmentation.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Model-based acceleration of Look-Locker T1 mapping

Open the record for dataset details and reuse information.

publicMar 2016View details →
ClinicalTrials.gov24/100

Fluid Status and T1-mapping by CMR

ClinicalTrials.gov study NCT03372512. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Impact of Fluid Status on Liver Elastography and T1-mapping Results in Patients Undergoing CMR.

ClinicalTrials.gov study NCT05239260. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Validation of Fibrosis Quantification Using T1 Mapping Against Histology as Reference and Comparison With Fibrosis Biomarkers

ClinicalTrials.gov study NCT02834104. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

The Application of T1 Mapping in Real-World

ClinicalTrials.gov study NCT07354646. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Gd-EOB-DTPA-enhanced T1 Map for Predicting Postoperative Liver Failure

ClinicalTrials.gov study NCT05592106. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

T1 Mapping in HIV Patients With High and Low CD4+ Cell Counts

ClinicalTrials.gov study NCT02054494. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Association of T1-mapping and LV Strain Analysis by CMR

ClinicalTrials.gov study NCT03405987. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record