Brain Oxygenation Maps via Streamlined Quantitative BOLD MRI

MRI data acquired on a Siemens Magnetom Verio 3T scanner demonstrates a streamlined quantitative BOLD technique for mapping brain oxygenation. The dataset includes images with varying R2′ weighting using an Asymmetric Spin Echo sequence and an inversion recovery preparation to null cerebrospinal fluid, grey matter, or white matter. It was created by Alan J. Stone at the University of Oxford in 2016.

Use Cases

• Developing models to quantify brain tissue oxygenation based on R2′ relaxation data.
• Testing methods to remove partial volume effects in MRI using inversion recovery preparations.
• Validating the GESEPI technique for correcting magnetic field gradient artifacts in functional MRI.
• Benchmarking streamlined qBOLD processing pipelines against established acquisition protocols.

Strengths

• Data was acquired on a specific Siemens Magnetom Verio 3T scanner with a 32-channel head coil, detailing hardware.
• The description specifies 24 distinct tau values for R2′ weighting and details the slice acquisition parameters.
• Inversion times for nulling CSF, GM, and WM are provided with precise values (1.21s, 0.702s, 0.511s).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Oxford Research Archive

Collection Method

Acquired via a customized Asymmetric Spin Echo (ASE) MRI pulse sequence with GESEPI correction on a clinical scanner.

Time Range

2016