Bridging Simultaneous Confidence Corridors and PET Neuroimaging
Evaluate SCC or SPM Detection Performance
Create a Database of Processed PET Image Data
Generate Synthetic Poisson Clones for PET Data
Get Dimensions from a Neuroimaging File
Extract Significant SCC Points from an SCC Comparison Object
Extract SPM-Detected Significant Points from a Binary NIfTI File
Convert Database to Functional Data Matrix Format
Mean Normalization for Matrix Data
Clean and Load Data from NIfTI Neuroimaging Files
Obtain and save neuroimaging contours from a NIFTI file
Wrappers for Neuroimaging Functional Data Preparation and SCC Analysis
Process ROI Voxel Data from a NIfTI File
Tools for the structured processing of PET neuroimaging data in preparation for the estimation of Simultaneous Confidence Corridors (SCCs) for one-group, two-group, or single-patient vs group comparisons. The package facilitates PET image loading, data restructuring, integration into a Functional Data Analysis framework, contour extraction, identification of significant results, and performance evaluation. It bridges established packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g., 'ImageSCC') and enables reproducible analysis pipelines, including comparison with Statistical Parametric Mapping ('SPM').
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