QuIDBBIDS is a MATLAB BIDS-app that enables researchers to easily preprocess and compute quantitative MRI biomarkers using standardized BIDS data. By simplifying workflow creation and ensuring reproducibility, QuIDBBIDS lowers barriers for large-scale neuroimaging studies and supports broader clinical translation of quantitative MRI methods.
We focus on relaxometry metrics derivable from (multi-echo) gradient-echo and RF-spoiled sequences, including:
- Longitudinal Relaxation (R1, both based on variable flip angle GRE and MP2RAGE acquisitions in combination with transmit field B1 maps)
- Effective Transverse Relaxation (R2*)
- Susceptibility (QSM) and Multi-compartment relaxometry Myelin Water Imaging (MCR-MWI - based on VFA acquisition)
QuIDBBIDS uses a novel declarative framework in which users specify desired (biomarker) outputs, and the software dynamically builds and executes the necessary workflow from a library of modular "workers".
QuIDBBIDS is a work-in-progress (WIP) that is being developed at the Donders Institute of the Radboud University.
Note
- All source code is hosted at GitHub and freely available under the GPL-3.0-or-later license.
- The full QuIDBBIDS documentation is hosted at Read the Docs
- You are encouraged to post issues or questions at GitHub