Sammba-MRI
Sammba-MRI provides processing and analysis of small mammal brain MRI data to support structural and functional multimodal neuroimaging studies, including investigations of neurodegenerative disease and therapeutic interventions.
Key Features:
- Flexible Data Processing: Offers a framework to apply and adapt existing neuroimaging methods specifically for small mammal MRI datasets.
- Scriptable Workflows: Implements scriptable analysis workflows enabling automated transitions from raw data conversion to downstream multimodal processing.
- Multimodal Imaging Capabilities: Supports structural and functional MRI modalities and integration across modalities for comprehensive analysis of small mammal brains.
Scientific Applications:
- Neurodegenerative Disease Research: Enables analysis of structural and functional MRI metrics in small mammals to study mechanisms of neurodegenerative diseases.
- Therapeutic Evaluation: Facilitates assessment of therapeutic interventions in preclinical studies through multimodal MRI comparisons.
Methodology:
Implements Python-based, scriptable workflows that integrate existing neuroimaging methods to perform raw data conversion and multimodal MRI processing.
Topics
Details
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/10/2021
Operations
Publications
Celestine M, Nadkarni NA, Garin CM, Bougacha S, Dhenain M. Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python. Frontiers in Neuroinformatics. 2020;14. doi:10.3389/fninf.2020.00024. PMID:32547380. PMCID:PMC7270712.