Dataset - Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database

Christian Ledig c12aa96647 ADD: Initial datacite.yml 6 tahun lalu
ADNI_MALPEM_all_5074.csv e01f56f89a Initial Commit of Resources 6 tahun lalu
ADNI_MALPEM_baseline_1069.csv e01f56f89a Initial Commit of Resources 6 tahun lalu
ADNI_MALPEM_m12_802.csv e01f56f89a Initial Commit of Resources 6 tahun lalu
ADNI_MALPEM_m24_532.csv e01f56f89a Initial Commit of Resources 6 tahun lalu
LICENSE d11177248b UPDATE: LICENSE text 6 tahun lalu
MALPEM_cross-sectional_seg138_5074.zip e01f56f89a Initial Commit of Resources 6 tahun lalu
README.md 1dd38eaa1a UPDATE: README.md 6 tahun lalu
datacite.yml c12aa96647 ADD: Initial datacite.yml 6 tahun lalu
features_CrossSect-5074_LongBLM12-802_LongBLM24-532.zip e01f56f89a Initial Commit of Resources 6 tahun lalu
lut.csv 69d4c273b5 ADD: lookup table for segmentations (138 regions) 6 tahun lalu
pincram_bin_brain_masks_5074.zip e01f56f89a Initial Commit of Resources 6 tahun lalu

README.md

Readme

This repository contains data resources accompanying the article:

C. Ledig, A. Schuh, R. Guerrero, R. Heckemann, D. Rueckert "Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database", Scientific Reports, 2018.

This work was done in the BioMedIA group at Imperial College London, UK.

Citation

Please cite as:

@article{Ledig2018,
  title={Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database},
  author={Ledig, Christian and Schuh, Andreas and Guerrero, Ricardo and Heckemann, Rolf and Rueckert, Daniel},
  journal={Scientific Reports},
  year={2018},
  publisher={Nature Publishing Group}
}

File Description

Processed Images

Features

  • All extracted cross-sectional (structural volumes) and longitudinal (volume change rate) features and selected clinical information (e.g. disease labels). Note: Not all of those features have been used in the manuscript. Please, refer to the paper for details. [features_CrossSect-5074_LongBLM12-802_LongBLM24-532.zip]

Segmentations / Brain masks

License

The data in this repository is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International Public License. See the accompanying license file for details. The license does not allow usage of this data for commercial applications. This restriction is derived from the license of the Neuromorphometrics atlases (CC BY-NC).

Methodology

Multi-Atlas Label Propagation with Expecation-Maximisation based refinement (MALPEM) including pincram brain extraction is publicly available on github: [MALPEM]

We are working on releasing the actual source code of MALPEM within [MIRTK]

References

Framework and cross-sectional segmentation [paper]

C. Ledig, R. A. Heckemann, A. Hammers, J. C. Lopez, V. F. J. Newcombe, A. Makropoulos, J. Loetjoenen, D. Menon and D. Rueckert, "Robust whole-brain segmentation: Application to traumatic brain injury", Medical Image Analysis, 21(1), pp. 40-58, 2015.

Longitudinal segmentation [paper]

C. Ledig, W. Shi, A. Makropoulos, J. Koikkalainen, R. A. Heckemann, A. Hammers, J. Lötjönen, and D. Rueckert, "Consistent and robust 4D whole-brain segmentation: application to traumatic brain injury", Proceedings of ISBI 2014, pp. 673-676, 2014

Brain extraction [paper]

R. Heckemann, C. Ledig, K. R. Gray, P. Aljabar, D. Rueckert, J. V. Hajnal, and A. Hammers, "Brain extraction using label propagation and group agreement: pincram", PLoS ONE, 10(7), pp. e0129211, 2015.