Published February 8, 2024 | Version v1
Dataset Open

Brain Deformation Data

  • 1. ROR icon ETH Zurich
  • 2. ROR icon Foundation for Research on Information Technologies in Society
  • 3. The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
  • 4. the Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands

Description

This dataset comprises spatio-temporal brain deformation data from one of the subjects in a study on brain tissue volumetric strain measurements using the Displacement Encoding with Stimulated Echoes (DENSE) magnetic resonance imaging method. The study involved 8 healthy subjects, aged 27 ± 6 years and implemented a retrospectively-gated version of DENSE for more efficient acquisition. The main goal of the dataset acquisition was the investigation of the reliability and repeatability of the proposed DENSE method through repeated measurements. The overall study, approved by the Ethical Review Board of University Medical Center Utrecht, aimed to validate the suitability of DENSE for the assessment of brain tissue pulsation as a physiological marker and for the investigation of intracranial volume dynamics [1]. The dataset has also been used to investigate the value of head capacitance measurements as a non-invasive biomarker for cranial compliance, e.g., for diagnostic purposes [2].
Because of privacy concerns, the data was masked to only reveal the brain and CSF volume. 

[1] Adams, A.L., Viergever, M.A., Luijten, P.R. and Zwanenburg, J.J., 2020. Validating faster DENSE measurements of cardiac-induced brain tissue expansion as a potential tool for investigating cerebral microvascular pulsations. Neuroimage208, p.116466. DOI: https://doi.org/10.1016/j.neuroimage.2019.116466

[2] Karimi, F., Neufeld, E., Fallahi, A., Boraschi, A., Zwanenburg, J.J., Spiegelberg, A., Kurtcuoglu, V. and Kuster, N., 2023. Theory for a non-invasive diagnostic biomarker for craniospinal diseases. NeuroImage: Clinical, 37, p.103280. DIO: https://doi.org/10.1016/j.nicl.2022.103280

 

Files

SampleDeformationData.zip

Files (985.0 MB)

Name Size Download all
md5:b9dfb9d2f45101284b5e29f400e790f8
985.0 MB Preview Download

Additional details

Related works

Is published in
Journal: 10.1016/j.neuroimage.2019.116466 (DOI)

Software

Repository URL
https://github.com/ITISFoundation/MIFT
Programming language
Python