CONP Portal | Dataset


Keywords: ASL MRI CBF
High-resolution Arterial Spin Labelling MRI
Creators: Sriranga Kashyap
Principal Investigator: Sriranga Kashyap
Contact: Sriranga Kashyap, sriranga.kashyap@uhn.ca
Licenses: CC BY-SA
Version: 1.0
Modalities: MRI
Formats: NIfTI JSON TSV
Size: 2.5 GB
No of Files: 530
No of Subjects: 8
Metadata file: DATS.json
Dimensions: Clinical Protocol, High-resolution Protocol 1, High-resolution Protocol 2
Is About: Homo sapiens
Description:
Cerebral blood flow (CBF) is a critical physiological parameter of brain health and it can be non-invasively measured with arterial spin labelling (ASL) MRI. In this study, we evaluated and optimised whole-brain, high-resolution ASL as an alternative to the low-resolution ASL employed in the routine assessment of CBF in both healthy participants and patients. Two high-resolution protocols (i.e., pCASL and FAIR-Q2TIPS (PASL) with 2 mm isotropic voxels) were compared to a default clinical pCASL protocol ($\ 3.4\times\ 3.4\times\ 4\ mm^3$), all of whom had an acquistion time of $\approx$ 5 min.

Dataset README information

README.md

Feasibility of high-resolution perfusion imaging using Arterial Spin Labelling MRI at 3 Tesla - Dataset

Crawled from OSF

Description

ASL perfusion data acquired with a Siemens Magnetom Prisma 3T (XA30) using 20ch, 32ch and 64ch headcoils in the 8 participants.
Preprint link: https://www.biorxiv.org/content/10.1101/2023.08.02.551576v1

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 Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset:

cd conp-dataset
datalad install projects/Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset

3) Download the Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset.

cd projects/Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset

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 .