NiftyPAD

NiftyPAD performs pharmacokinetic analysis and quantification of brain PET data, supporting static, full dynamic, and dual-time window acquisitions while integrating arterial spin labeling (ASL)-derived perfusion measures to enable shortened PET acquisitions.

Key Features:

• Versatile Analysis Capabilities: Supports analyses of static, full dynamic, and dual-time window brain PET data.
• Dual-Time Window Scans with Reference Input Processing: Incorporates ASL-derived relative perfusion measures to enable shortened PET acquisitions without compromising quantification accuracy.
• Optional Motion Correction: Provides PET-based motion correction to improve reliability and precision of dynamic imaging quantification.
• SRTM ASL Method: Supports Simplified Reference Tissue Model (SRTM) using ASL for estimation of non-displaceable binding potential with negligible bias.
• Validation against Established Models and Software: Validated against linearised Logan and MRTM2 models with PPET, and basis function SRTM and SRTM2 models with QModeling, showing high correlation and minimal absolute differences.
• Clinical Benchmarking: Demonstrated benchmarking using clinical data from eight subjects scanned with four amyloid tracers.

Scientific Applications:

• Pharmacokinetic Modeling: Provides reliable quantification of dynamic PET data in neuroimaging studies.
• Validation with Established Software: Demonstrates high correlation and minimal bias when benchmarked against PPET and QModeling using clinical data from eight subjects scanned with four amyloid tracers.
• SRTM ASL Method: Enables estimation of non-displaceable binding potential using SRTM with ASL-derived perfusion as reference input.

Methodology:

Employs pharmacokinetic modeling techniques to process PET data and integrates ASL-derived perfusion measures to facilitate shortened acquisitions while maintaining quantification accuracy.