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ZENODO
Dataset . 2020
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY SA
Data sources: ZENODO
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Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions

Authors: Lajous, Hélène; Ledoux, Jean-Baptiste; Hilbert, Tom; van Heeswijk, Ruud B.; Bach Cuadra, Meritxell;

Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions

Abstract

This dataset provides various acquisitions for T2 mapping of the MnCl2 array of the NIST phantom at 1.5T. Data were acquired on a MAGNETOM Sola (Siemens Healthcare, Erlangen, Germany), with an 18-channel body coil and a 32-channel spine coil (12 elements used). It gathers original acquisitions from Lajous H. et al. (2020) T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12262. Springer, Cham. https://doi.org/10.1007/978-3-030-59713-9_12. The dataset is composed of DICOM images from: i) Gold-standard single-echo spin echo (SE) sequences acquired at variable TE; ii) Alternative reference multi-echo spin echo (MESE) acquisitions; iii) Half-Fourier Acquisition Single-shot Turbo spin Echo (HASTE) images at variable TE in three orthogonal orientations. The acquisition parameters are further detailed in the ReadMe.txt file provided along with the images. These acquisitions were repeated independently on three different days during the month of January 2020. These data are made publicly available as a support for further reproducibility studies as well as for the validation of new T2 relaxometry strategies. Works using any of these data should cite the following two references: - Lajous H. et al. (2020) T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020. MICCAI 2020. Lecture Notes in Computer Science, vol 12262. Springer, Cham. https://doi.org/10.1007/978-3-030-59713-9_12 - Lajous, Hélène, Ledoux, Jean-Baptiste, Hilbert, Tom, van Heeswijk, Ruud B., & Bach Cuadra, Meritxell. (2020). Dataset T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3931812

This work was supported by the Swiss National Science Foundation (205321-182602), the Centre d'Imagerie BioMédicale (CIBM) of the UNIL, UNIGE, HUG, CHUV, and EPFL, the Leenaards and Jeantet Foundations, and the Swiss Heart Foundation.

{"references": ["Keenan K.E. et al.: Multi-site, multi-vendor comparison of T1 measurement using ISMRM/NIST system phantom. In: Proceedings of the 24th Annual Meeting of ISMRM, Singapore (2016). Program number 3290."]}

Keywords

Fast spin echo sequences; Single-echo Spin Echo (SE); Multi-Echo Spin Echo (MESE); Half-Fourier Acquisition Single-shot Turbo spin Echo (HASTE); T2-weighted images; T2 mapping; Repeatability; Reproducibility; Accuracy

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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