Plan diffusion MRI preprocessing QC and downstream routing from QSIPrep derivatives.
npx skills add https://github.com/MarvinCui/NeuroForge --skill qsiprep
Please help me install this Agent Skill. Skill: qsiprep Source: https://github.com/MarvinCui/NeuroForge/tree/main/NeuroForge/skills/qsiprep Command: npx skills add https://github.com/MarvinCui/NeuroForge --skill qsiprep
It helps you reason safely about diffusion MRI preprocessing inputs and QSIPrep derivative outputs so you can plan quality control and next processing steps without guessing.
Ask the qsiprep skill to help you plan what diffusion QC checks to perform on your QSIPrep DWI derivatives and what routing to use next for downstream reconstruction.
High-intent search queries and answers about installing and using this skill.
Plan diffusion MRI preprocessing QC by inspecting QSIPrep derivative structures and DWI metadata, such as BIDS bvec/bval files, to identify necessary checks before running deeper diffusion analysis.
Inspect BIDS DWI gradients by verifying bvec/bval files and metadata sufficiency within QSIPrep derivatives to ensure gradient fields and distortion correction outputs meet quality-control requirements.
Route preprocessed diffusion outputs by evaluating QSIPrep derivatives and applying documentation-first guidance to safely connect to downstream reconstruction workflows like MRtrix3 or DIPY.
QSIPrep focuses on quality-control planning and safe inspection of DWI metadata rather than heavy automatic processing, enforcing cautions about assumptions and modality mismatches.
Defer to official tool truth for distortion correction outputs when you encounter modality or metadata mismatches, ensuring safe documentation-first guidance rather than making assumptions.
CUHK-AIM-GroupPlan and orchestrate QSIPrep diffusion MRI preprocessing on BIDS datasets.
MarvinCuiPlan and validate DIPY diffusion MRI reconstruction and tractography workflows.
CUHK-AIM-GroupPlan diffusion MRI preprocessing and metric extraction workflows across DICOM, NIfTI, and BIDS datasets.
CUHK-AIM-GroupOrchestrates HCP-style preprocessing of multimodal MRI data with plan-driven safety checks.
