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Dataset results
12 results for “multi-echo”
Valence processing differs across stimulus modalities (Multi-echo)
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Multi-echo masking test dataset
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Data for: Free-Breathing Water, Fat, R2∗ and B0 Field Mapping of the Liver Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (MERLOT)
<p>Data for our manuscript with title "Free-Breathing Water, Fat, R2∗ and B0 Field Mapping of the Liver Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (MERLOT)"</p>
Multi-echo resting-state fMRI networks of healthy volunteers
<p>The dataset contains the resting-state networks of 16 healthy volunteers following multi-echo combination methods: 1) optimal combination 2) tSNR-weighted combination 3) tCNR-weighted combination (PAID method) 4) second echo only (single-echo) After echo combination by one of the methods (or the second echo) 30 independent components were extracted using group ICA and dual regression.</p> <p>Image format: Gunzipped NIfTI (.nii.gz)</p> <p>Time-series format: text file (.txt)</p> <p>The structure of the uploaded folder:</p> <p>- Layer 1: PilmeyerEtAl_ICA_maps_and_timeseries - main folder</p> <p>- Layer 2 (combination method): OC - optimal combination, SE- second echo, tCNR - temporal contrast-to-noise, tSNR - temporal signal-to-noise</p> <p>- Layer 3: groupICA_desc-XX - contains the group ICA maps and time-series before dual regression, sub-YY - folders for each of the 16 subjects</p> <p>- Layer 4: sub-YY_desc_XX - contains the individual extracted ICA maps and time-series</p> <p> </p> <p> </p> <p> </p>
MRI data of 3D radial multi-echo spin-echo acquisition of the human brain at 3T with and without deliberate motion
<p>Radial 3D multi-echo spin echo acquisition of a human brain acquired with a house made sequence on a Prisma Siemens 3T MRI scanner. </p> <p>The data have been converted in ISMRMRD format. </p> <p>Two raw datasets are available, one with deliberate motion and one without. </p> <p>The sequence allows for retrospective motion correction based on self-navigation. </p> <p>The images can be reconstructed with the code available on Github: https://github.com/nadegecorbin/Reco_MESE_RAD.git</p> <p>Reconstructed images and associated T2 maps are also provided in the folder "Reconstruction".</p> <p>For the motion case, intermediate images are stored in "Motion/Moco/RecoTRImages", the corrected echoes are in "Motion/Moco/RecoEchoes". Echo images without correction are in "Motion/Nomoco/RecoEchoes". </p> <p>For the No motion case, only data without motion correction are reconstructed and are located in "Nomotion/Nomoco/Recoechoes"</p> <p>A manuscript describing the method is under submission. </p> <p> </p>
Data for: Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (Part 4/5)
<p>This data set consists of MRI measurement data for liver scans acquired with a 3D stack-of-stars multi-echo FLASH sequence during free breathing as described in:</p> <p>Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, Christian Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker. <a href="https://doi.org/10.1109/TMI.2022.3228075">Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction.</a> IEEE Transactions on Medical Imaging 42:1374-1387 (2023) </p> <p>The data stored in the format of the BART toolbox (DOI: 10.5281/zenodo.592960).</p>
Data for: Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (Part 5/5)
<p>This data set consists of MRI measurement data for liver scans acquired with a 3D stack-of-stars multi-echo FLASH sequence during free breathing as described in:</p> <p>Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, Christian Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker. <a href="https://doi.org/10.1109/TMI.2022.3228075">Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction.</a> IEEE Transactions on Medical Imaging 42:1374-1387 (2023) </p> <p>The data stored in the format of the BART toolbox (DOI: 10.5281/zenodo.592960).</p>
Data for: Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (Part 3/5)
<p>This data set consists of MRI measurement data for liver scans acquired with a 3D stack-of-stars multi-echo FLASH sequence during free breathing as described in:</p> <p>Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, Christian Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker. <a href="https://doi.org/10.1109/TMI.2022.3228075">Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction.</a> IEEE Transactions on Medical Imaging 42:1374-1387 (2023) </p> <p>The data stored in the format of the BART toolbox (DOI: 10.5281/zenodo.592960).</p>
Data for: Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (Part 1/5)
<p>This data set consists of MRI measurement data for liver scans acquired with a 3D stack-of-stars multi-echo FLASH sequence during free breathing as described in:</p> <p>Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, Christian Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker. <a href="https://doi.org/10.1109/TMI.2022.3228075">Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction.</a> IEEE Transactions on Medical Imaging 42:1374-1387 (2023) </p> <p>The data stored in the format of the BART toolbox (DOI: 10.5281/zenodo.592960).</p>
Data for: Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction (Part 2/5)
<p>This data set consists of MRI measurement data for liver scans acquired with a 3D stack-of-stars multi-echo FLASH sequence during free breathing as described in:</p> <p>Zhengguo Tan, Christina Unterberg-Buchwald, Moritz Blumenthal, Nick Scholand, Philip Schaten, Christian Holme, Xiaoqing Wang, Dirk Raddatz, Martin Uecker. <a href="https://doi.org/10.1109/TMI.2022.3228075">Free-Breathing Liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-based Reconstruction.</a> IEEE Transactions on Medical Imaging 42:1374-1387 (2023) </p> <p>The data stored in the format of the BART toolbox (DOI: 10.5281/zenodo.592960).</p>
3D Free-Breathing Multi-echo Acquisition for Whole-body Water/Fat Separation
ClinicalTrials.gov study NCT05100927. IPD Sharing: NO. Countries: 0. Publications: 0.
Addressing Motion and Confounds Issues in Resting fMRI- Application of Multi-echo EPI Scanning
ClinicalTrials.gov study NCT02720562. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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DANDI Archive for NWB datasets
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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.
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.