Magia

Automated Brain PET Analysis Pipeline

Magia is an automated processing pipeline for brain PET studies. Magia uses FreeSurfer to parcellate the brain into anatomical regions of interest, and performs kinetic modeling using tools developed over the years at Turku PET Center and the Human Emotion Systems Laboratory.

The MAGIA toolbox is designed for swift automated preprocessing of PET data with multiple ligands and models. It implements automatic image retrieval from PACS combined with functions from FreeSurfer and SPM image preprocessing pipelines coupled with in-house PET modelling and metadata annotation code. Quality control is performed with in-house code and MRIQC toolbox. The compilation of MAGIA code is site-independent and can be installed anywhere.

Magia toolbox enables processing of brain PET data with minimal user intervention. The accuracy performance of Magia has been evaluated for four tracers: [11C]carfentanil, [11C]raclopride, [11C]MADAM, and [11C]PiB (30 control subjects per tracer). Magia has been shown to generate reference regions that yield results similar to results derived using manually delineated reference regions [1].

Visualization of the outcome measure distributions for each tracer [1]

GitHub Page

Installation & Users Guide

Reference:

[1] Karjalainen, T., Tuisku, J., Santavirta, S., Kantonen, T., Bucci, M., Tuominen, L., Hirvonen, J., Hietala, J., Rinne, J.O. and Nummenmaa, L., 2020. Magia: robust automated image processing and kinetic modeling toolbox for PET neuroinformatics. Frontiers in neuroinformatics14, p.3. DOI: 10.3389/fninf.2020.00003

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