Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals

Filip Szczepankiewicz; Scott Hoge; Carl-Fredrik Westin

doi:10.1016/j.dib.2019.104208

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. doi: 10.1016/j.dib.2019.104208. eCollection 2019 Aug.

Authors

Filip Szczepankiewicz^{1

2}, Scott Hoge^{1

2}, Carl-Fredrik Westin^{1

2}

Affiliations

¹ Radiology, Brigham and Women's Hospital, Boston, MA, USA.
² Harvard Medical School, Boston, MA, USA.

Abstract

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.

Keywords: B-tensor encoding; Diffusion magnetic resonance imaging; Free waveform encoding; Human brain in vivo; Liquid crystal; Multidimensional diffusion encoding; Oil; Water.

Abstract

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