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
Project Landing Page: https://osf.io/q482e
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.
Manuscript: https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2023.1271254

DOI: 10.17605/OSF.IO/Q482E

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. A subset of open datasets on the Portal are also available through a browser-based download button. The instructions below regard dataset download with the use of DataLad. To install DataLad on your system, please refer to the install section of the DataLad Handbook .

Note: For maximum compatibility with conp-dataset, the CONP recommends versions 3.12+ of Python, 10.20241202+ of git-annex, and 1.1.4+ of datalad.

1) Initiate the CONP dataset

Run the following command in the directory where you want the CONP dataset (conp-dataset) to be installed:

2) Install the Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset dataset

To install the Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset dataset, run the following commands to move into the "projects" subdirectory under the "conp-dataset" directory (created in the previous step) and run datalad install:

3) Download data from the Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset dataset

Now that the dataset has been installed, go into the Feasibility_of_high_resolution_perfusion_imaging_using_Arterial_Spin_Labelling_MRI_at_3_Tesla___Dataset dataset directory.

The files visible after installing the dataset but before downloading (in the next step) are symbolic links and need to be downloaded manually using the datalad get command:

If you run datalad get * command, all the files available in the dataset directory will be downloaded.


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