CONP Portal | Dataset


Long-term, Phantom Quality Assurance data for functional Magnetic Resonance Imaging from 13 3T research scanners
Creators: Ontario Brain Institute
Contact: Brain-CODE Team, spred@braincode.ca
Licenses: Refer to Brain-CODE Governance Policy
Version: 1.0
Modalities: MRI QA Summary Results
Formats: DICOM CSV
Size: 103.0 GB
No of Files: 2685440
No of Subjects: 13
Metadata file: DATS.json
Acknowledges: Ontario Brain Institute, Canadian Biomarker Integration Network in Depression, Ontario Neurodegeneration Disease Research Initiative, Government of Ontario
Spatial Coverage: Canada
Other Dates: Start Date: 2014-05-05 -- End Date: 2018-07-10
Description:
fBIRN phantoms scanned monthly for as a QA measure to monitor between- and within-site stability in a Siemens Prisma MRI scanner participating studies of OBI's ONDRI and CAN-BIND programs.

Dataset README information

README.md

Long-term, Phantom Quality Assurance data for functional Magnetic Resonance Imaging from 13 3T research scanners

Overview

Function Biomedical Informatics Research Network (fBIRN) phantoms were scanned at monthly intervals for four years as a quality assurance (QA) measure to monitor between- and within-site stability in 13 magnetic resonance imaging (MRI) scanners participating in the multisite, longitudinal studies of the Ontario Brain Institute’s (OBI) Ontario Neurodegeneration Disease Research Initiative (ONDRI) and Canadian Biomarker Integration Network in Depression (CAN-BIND) programs.
Acquisitions were performed using the resting state functional MRI (rs-fMRI) sequence of the Canadian Dementia Imaging Protocol (CDIP; www.cdip-pcid.ca).

This open data release includes DICOM images from 629 resting state functional MRI (rs-fMRI) scans acquired from five General Electric, two Philips, and six Siemens 3T scanners (mean number of scans per scanner = 48.5), as well as QA summary results for each scan as derived from the fBIRN pipeline.

Access

The dataset could be requested via authorized access on https://www.braincode.ca/. To request data set on Brain-CODE, sign-up by clicking “Register”.
Registered portal users have access to interactive dashboards for data exploration and data download.

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.

Note: The conp-dataset requires version >=0.12.5 of DataLad and version >=8.20200309 of git-annex.

To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).

1) Initiate the CONP dataset

To initiate the CONP dataset (conp-dataset), run the following command in the directory where you want CONP datasets to be installed:

datalad install https://github.com/CONP-PCNO/conp-dataset.git

2) Install the braincode_fBIRN dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset braincode_fBIRN:

cd conp-dataset
datalad install projects/braincode_fBIRN

3) Download the braincode_fBIRN dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/braincode_fBIRN.

cd projects/braincode_fBIRN

Note that files visible in the dataset are symlinks and will need to be downloaded manually using the datalad get command in the dataset directory:

datalad get <filepath>

Note, if you run datalad get * command, all the files present in the dataset directory will be downloaded.

For more information on how DataLad works, please visit the DataLad Handbook documentation .