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Linear, Planar and Spherical Tensor-valued Diffusion MRI Data by Free Waveform Encoding in Healthy Brain, Water, Oil and Liquid Crystals

Institution:
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Elsevier Science
Publication Date:
Aug-2019
Journal:
Data Brief
Volume Number:
25
Pages:
104208
Citation:
Data Brief. 2019 Jul 2;25:104208.
PubMed ID:
31338402
PMCID:
PMC6626882
Keywords:
B-tensor encoding , Diffusion magnetic resonance imaging, Free waveform encoding, Human brain in vivo, Liquid crystal, Multidimensional diffusion encoding , Oil, Water
Appears in Collections:
NAC, LMI, SPL
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
R01 MH074794/MH/NIMH NIH HHS/United States
Generated Citation:
Szczepankiewicz F., Hoge S., Westin C-F. Linear, Planar and Spherical Tensor-valued Diffusion MRI Data by Free Waveform Encoding in Healthy Brain, Water, Oil and Liquid Crystals. Data Brief. 2019 Jul 2;25:104208. PMID: 31338402. PMCID: PMC6626882.
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Recently, several biophysical models and signal representations have been proposed for microstructure imaging based on tensor-valued, or multidimensional, diffusion MRI. The acquisition of the necessary data requires non-conventional pulse sequences, and data is therefore not available to the wider diffusion MRI community. To facilitate exploration and development of analysis techniques based on tensor-valued diffusion encoding, we share a comprehensive data set acquired in a healthy human brain. The data encompasses diffusion weighted images using linear, planar and spherical diffusion tensor encoding at multiple b-values and diffusion encoding directions. We also supply data acquired in several phantoms that may support validation. The data is hosted by GitHub: https://github.com/filip-szczepankiewicz/Szczepankiewicz_DIB_2019.