iDIO

iDIO performs automated preprocessing and post-processing of diffusion magnetic resonance imaging (dMRI) data to produce diffusion tensor metrics and whole-brain tractography-based connectomes for structural connectivity analysis.

Key Features:

• Adaptive Configuration: Automatically configures preprocessing steps based on image header information to accommodate various dMRI acquisition schemes.
• Comprehensive Preprocessing: Performs head motion correction, susceptibility distortion correction, denoising to address low signal-to-noise ratio, and signal drift correction.
• Post-processing Capabilities: Estimates diffusion tensor metrics and reconstructs whole-brain tractography-based connectomes using common brain atlases.
• Quality Control Reporting: Generates a quality control report summarizing preprocessing outcomes.
• Transparency: Outputs execution logs and all intermediate images produced during processing.

Scientific Applications:

• Structural connectivity analysis: Supports reconstruction and analysis of whole-brain structural connectivity using tractography-based connectomes.
• Diffusion tensor metric analysis: Enables calculation and analysis of diffusion tensor metrics derived from preprocessed dMRI data.
• Consistency and comparability in diffusion MRI research: Facilitates consistency and comparability across diffusion MRI studies by standardizing preprocessing and recording processing outputs.

Methodology:

Implements automatic configuration from image header information and performs head motion correction, susceptibility distortion correction, denoising for low signal-to-noise ratio, signal drift correction, diffusion tensor estimation, whole-brain tractography reconstruction and connectome generation, and produces quality control reports, execution logs, and intermediate images.