Lightweight reader for SimNIBS output directories (segmentation, simulation, optimization)
Project description
-doit récupérer toute la logique d'input contenu dans io_pipeline de simnibs-analyze pour la réinjecter ensuite sous forme d'une dépdance propre.
simnibs-reader
Python API for easy access of simnibs results with 3 level of organization.
Simnibs-bids-structure :
A standardization of the name of the simnibs folders (with bids logic) for multi-simulation/optimiation experiments... check if this is a commun use or not ? because it could lead to overuseof "simulation" rather than "optimization" expe... So what could be the real usecase of this ?
(TO DECIDE : hierarchy of simnibs simulation parameters : electrodes_currents_conductivities (see Simnibs Data Structures)
Description of the files accessible in a folder of simnibs results:
Folder type : simulation folder / optimization folder /m2m folder
- les resultats E-nifti en particulier
- les surfaces ?
- dans m2m... les fichiers de preparation de simulations (pour pouvoir spécialisé la simulation)
Description of the variables extractable , for each files :
--> For each nifti file produced:
1- ROI-based easy querying [IMPORTANT : Checker le tool qui permet de creer des ROIs aisement (en native comme en mni)]
2- postprocessing filters (to check si ça doit rester dans analyze ou si c'est necessairement dans le reader !?)
3- metrics extractions
- efield-niftii specific : mean
- label_preps specific : total amount of a specific label + width / length measure (check the nilearn tool for this)
--> other type of file ?
This querying tool allows both "a la volée python traitement" ou des save propres de metrics utile pour des analyses futures.
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