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Age-Specific Averaged Image Dataset (DataID: 3236)
Authors: Akiko Uematsu1, Junichi Hata2, Yuji Komaki3, Fumiko Seki1, Chihoko Yamada3, Norio Okahara3, Yoko Kurotaki3, Erika Sasaki1,2,3, Hideyuki Okano1,2,3*
1. Department of Physiology (Okano Lab), Keio University School of Medicine, Keio University School of Medicine
2. Laboratory for Marmoset Neural Architecture, RIKEN Brain Science Institute
3. Central Institute for Experimental Animals
*corresponding author: Hideyuki Okano (hidokano@a2.keio.jp)
DATASET DESCRIPTION
This page serves the Brain/MINDS age-specific marmoset averaged image dataset for downloading.
The dataset includes gziped NIfTI files (.nii.gz) of MRI T2WI and DTI metrics (FA, MD, RD, and AD) in-vivo data; the ages of the data are 1,3,6,9,12,15,18 months old.
The creation process of these averaged images is referred to the script of FSL software (https://fsl.fmrib.ox.ac.uk/), fslvm_2_template, partially modified; the non-linear registration process was replaced to the script of ANTs (http://stnava.github.io/ANTs/), antsRegsitrationSyN.sh. The details are described in the text “Dataset Description and Image Processing”.
In addition, age-specific DWI templates (.mif files) are provided, which are created using the script of Mrtrix3 (http://www.mrtrix.org/), population_template. You may convert .mif file to NIFTI, extracting b-vector and b-value information by conducting the following Mrtrix3’s command: # mrconvert dwi_input.mif dwi_output.nii -export_grad_fsl bvec bval
Files can be downloaded each image type or as one zip file.
CITATION
Uematsu, Akiko; Hata, Junichi; Komaki, Yuji; Seki, Fumiko; Yamada, Chihoko; Okahara, Norio; Kurotaki, Yoko; Sasaki, Erika; Okano, Hideyuki : Brain/MINDS Age-Specific Marmoset Averaged Image Dataset (DataID: 3236) https://doi.org/10.24475/bminds.mri.kau.3236
RELATED PUBLICATION(S)
Uematsu, A., Hata, J., Komaki, Y., Seki, F., Yamada, C., Okahara, N., Okahara., Kurotaki, Y., Sasaki E. & Okano, H. (2017). Mapping orbitofrontal-limbic maturation in non-human primates: A longitudinal magnetic resonance imaging study. NeuroImage 163, 55-67. https://doi.org/10.1016/j.neuroimage.2017.09.028
LICENSE
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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