Pilot Tone-guided focused navigation (PT-fNAV) for free-breathing whole-liver fat-water quantification
<p>This repository contains <em>in vivo</em> MRI data acquired on a 1.5T clinical system (MAGNETOM Sola, Siemens Healthcare, Erlangen, Germany) using a commercially available 12-channel body coil equipped with an integrated Pilot Tone navigator.<br>All data provided was collected on human volunteers according to local institutional rules (Ethics Committee, Lausanne, Switzerland), within the frame of a research study titled "<strong>Pilot Tone guided focused navigation for free-breathing whole-liver fat-water quantification</strong>" by Mackowiak et al. (2023).</p> <p>******************************************************************************************************************************************************</p> <p>******************************************************************************************************************************************************</p> <p>Please cite the following work when using data from this repository:</p> <p>Link to pre-print: <a href="https://arxiv.org/abs/2312.04908">https://arxiv.org/abs/2312.04908</a></p> <p>******************************************************************************************************************************************************</p> <p>******************************************************************************************************************************************************</p> <p>For each volunteer, the contents of the repository are as follows:</p> <p>1) a .dat file containing the raw data from the 3D radial free-breathing acquisition at 1.5T</p> <p>2) a "PhysioInfo.mat" file containing the extracted Pilot Tone signals and the reconstructed respiratory trace, as well as their associated time stamps</p> <p>3) a "ReferenceImages.mat" file containing anonymized images obtained with reference Cartesian multi-echo scans (a 3D 8-echo breath-held scan and a 2D 2-echo Dixon VIBE sequence) and reconstructed at the scanner with built-in vendor software.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4