Clinica

Clinica provides automated pipelines for processing and analyzing multimodal neuroimaging data to support reproducible clinical neuroscience studies.

Key Features:

• Supported modalities: T1-weighted MRI, diffusion MRI, and PET imaging modalities are supported by the pipelines.
• Integrated neuroimaging tools: Pipelines integrate ANTs, FreeSurfer, FSL, MRtrix, PETPVC, and SPM for image processing and analysis.
• Machine learning integration: Scikit-learn is incorporated for machine learning applications on neuroimaging-derived features.
• Workflow engine: Nipype and Python are used to orchestrate pipeline execution.
• BIDS compliance: Adheres to the Brain Imaging Data Structure (BIDS) for organizing raw neuroimaging datasets.
• Dataset converters: Provides converters for ADNI, AIBL, OASIS, and NIFD to convert public datasets into BIDS format.
• Processed outputs: Produces image-valued scalar fields (e.g., tissue probability maps), meshes, surface-based scalar fields (e.g., cortical thickness maps), and scalar outputs (e.g., regional averages).
• Processed data organization: Outputs are organized according to the ClinicA Processed Structure (CAPS) format.
• Pipeline composition: Supports execution of individual pipelines and sequences of pipelines for integration into statistical or machine learning workflows.

Scientific Applications:

• Clinical neuroimaging studies: Processing and analysis of multimodal MRI and PET data for clinical neuroscience research.
• Neuroimaging biomarker extraction: Generation of tissue probability maps, cortical thickness, meshes, and regional scalar summaries for biomarker studies.
• Machine learning research: Development and evaluation of machine learning algorithms on neuroimaging-derived features and representations.

Methodology:

Clinica implements automatic pipelines that integrate ANTs, FreeSurfer, FSL, MRtrix, PETPVC, and SPM, orchestrated via Nipype and Python, uses Scikit-learn for machine learning, adheres to the Brain Imaging Data Structure (BIDS) with converters for ADNI, AIBL, OASIS, and NIFD, and produces outputs organized in the ClinicA Processed Structure (CAPS) format.