MR-BIAS
MR-BIAS automates quantification of T1 and T2 relaxation times from the ISMRM/NIST system phantom to provide reference measurements for quantitative magnetic resonance imaging (qMRI) biomarkers.
Key Features:
- Automation: Eliminates manual steps relative to Phantom Viewer (PV), reducing inter-observer variability (IOV) and increasing reproducibility.
- Efficiency: Performs analyses 9.7 times faster than PV with a mean analysis duration of 0.8 minutes versus PV's 7.6 minutes.
- Accuracy and Consistency: Achieves lower coefficient of variation (CV) in percent bias (%bias) for T1^{VIR} and T2^{MSE}, with mean CVs of 0.03% and 0.05% compared to PV's 1.28% and 4.55%, respectively.
- Comparative Performance: Shows no statistically significant difference in overall bias or %bias for most regions of interest (ROIs) across relaxation models T1^{VIR}, T1^{VFA}, and T2^{MSE} when compared to custom scripts from previous studies.
Scientific Applications:
- qMRI standardization: Provides reference measurements from the ISMRM/NIST system phantom to support standardization of qMRI protocols across studies and institutions.
- Clinical translation: Supplies reproducible phantom-derived biomarkers to aid translation of qMRI methods into clinical practice for disease detection, staging, and treatment monitoring.
Methodology:
Validated by comparing IOV and time efficiency against Phantom Viewer using six volunteers and three phantom datasets, and by benchmarking accuracy against a published custom script on twelve phantom datasets with comparisons of overall bias and %bias for T1^{VIR}, T1^{VFA}, and T2^{MSE}.
Topics
Details
- License:
- BSD-3-Clause
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 3/18/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Quantification
Inputs
Outputs
Publications
Korte JC, Chin Z, Carr M, Holloway L, Franich R. Magnetic resonance biomarker assessment software (MR-BIAS): an automated open-source tool for the ISMRM/NIST system phantom. Physics in Medicine & Biology. 2023;68(6):06NT01. doi:10.1088/1361-6560/acbcbb. PMID:36796102.