Faculty of Biology and Medicine at University of Lausanne and Lausanne University Hospital
Published August 11, 2022 | Version v1.1
Dataset Open

Dataset A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN)

Authors/Creators

  • 1. Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland & CIBM Center for Biomedical Imaging, Switzerland
  • 2. Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare, Lausanne, Switzerland & Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland & Signal Processing Laboratory 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
  • 3. Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
  • 4. CIBM Center for Biomedical Imaging, Switzerland & Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Description

This dataset gathers synthetic T2-weighted magnetic resonance (MR) images generated using FaBiAN, a Fetal Brain magnetic resonance Acquisition Numerical phantom that simulates fast spin echo (FSE) sequences of the developing fetal brain throughout gestation.
This dataset is associated with the following paper:
      Lajous H. et al. (2022) A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Scientific Reports. https://doi.org/10.1038/s41598-022-10335-4

This dataset provides images simulated by FaBiAN based on the specific implementation of FSE sequences by two MR vendors (Half-Fourier Acquisition Single-shot Turbo spin Echo (HASTE), Siemens Healthcare, and Single-Shot Fast Spin Echo (SS-FSE), GE Healthcare) at 1.5 T or 3 T.
Automated brain tissue annotations of the low-resolution series and super-resolution (SR) reconstructions are also included.

Works using any of these data should cite the following references:
- Lajous, H. et al. A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Scientific Reports (2022). https://doi.org/10.1038/s41598-022-10335-4
- Lajous, H., Roy, C. W., Yerly, J. & Bach Cuadra, M. Medical-Image-Analysis-Laboratory/FaBiAN: FaBiAN v1.2 (1.2). Zenodo (2022). https://doi.org/10.5281/zenodo.5471094
- Lajous, H. et al. Dataset A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN). Zenodo (2022). https://doi.org/10.5281/zenodo.6477946


Copyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland & CIBM Center for Biomedical Imaging. 2022.

Notes

This work was supported by the Swiss National Science Foundation through grants 182602, 141283 and 173129. We acknowledge the expertise of the CIBM Center for Biomedical Imaging, a Swiss research center of excellence founded and supported by Lausanne University Hospital (CHUV), University of Lausanne (UNIL), Ecole Polytechnique Fédérale de Lausanne (EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG).

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Additional details

Related works

Is derived from
Software: 10.5281/zenodo.5471094 (DOI)
Is supplement to
Journal article: 10.1038/s41598-022-10335-4 (DOI)
Other: https://arxiv.org/abs/2109.03624 (URL)
Conference paper: 10.1007/978-3-030-87735-4_15 (DOI)
Conference paper: https://arxiv.org/abs/2111.04737 (URL)

Funding

Swiss National Science Foundation
Advanced super-resolution reconstruction methods for quantitative magnetic resonance imaging of the developing fetal brain 205321_182602