mrQA

mrQA automatically assesses protocol compliance in MRI datasets to identify inconsistencies in acquisition parameters.

Key Features:

• Automatic Protocol Compliance Assessment: mrQA automatically evaluates whether MRI datasets conform to predefined reference protocols without manual intervention.
• Multi-Format Support: mrQA processes standard dataset formats including DICOM and BIDS.
• Cross-Site Analysis: mrQA enables data pooling across multiple sites and scanners by detecting incompatible MR physics parameter values.
• Pattern Detection: mrQA identifies patterns of non-compliance across datasets, including deviations in Repetition Time, Echo Time, Flip Angle, and Phase Encoding Direction.
• Scanner-Specific Analysis: mrQA compares protocol compliance rates across different scanner manufacturers.

Scientific Applications:

• Multisite Consortium Data Pooling: mrQA ensures compliance with predefined reference protocols when combining MRI data from diverse sources and multiple sites.
• Quality Control in Neuroimaging: mrQA monitors acquisition parameters in large neuroimaging datasets such as the ABCD study to prevent silent propagation of issues.
• Preprocessing Validation: mrQA performs continuous monitoring for protocol compliance before any pre/post-processing, ideally right after acquisition.
• General DICOM Dataset Analysis: mrQA works with any DICOM-based datasets beyond neuroimaging applications.

Methodology:

mrQA compares acquisition parameters against predefined reference protocols to detect deviations in MR physics parameter values across datasets.