Imager-4D

Imager-4D analyzes dynamic positron emission tomography (PET) scans to visualize temporal tracer distribution and extract radiomic and kinetic parameters for quantitative imaging studies.

Key Features:

• Dynamic PET data analysis: Supports visualization and temporal analysis of tracer distribution across dynamic protocols.
• Radiomic parameter extraction: Extracts quantitative radiomic metrics from PET data for textural and structural tissue characterization.
• Built-in lookup tables: Includes a library of 62 lookup tables with monochromatic and full-color distributions for image display.
• Multimodal image fusion: Supports fusion of PET data with other imaging modalities for combined analysis.
• Volume-of-Interest (VOI) selection and analysis: Provides multiple VOI selection methods with adjustable VOI size and numeric and graphical output export.
• Dynamic analysis features: Implements image summation and full Patlak analysis for kinetic modeling and tracer quantification.
• Dynomics integration: Combines dynamic PET time-series with radiomic analysis to assess temporal evolution of radiomic features.
• Implementation: Implemented in Java using JavaFX.

Scientific Applications:

• Oncology research: Assess tumor metabolism using dynamic and radiomic parameters.
• Treatment response monitoring: Monitor longitudinal changes in tracer uptake and radiomic features to evaluate therapy response.
• Disease progression studies: Investigate progression and dynamics of metastatic disease.
• Case example: Applied to studies of metastatic colorectal cancer with thyroiditis.
• Personalized medicine: Enable analysis of temporal radiomic feature evolution to inform individualized imaging biomarkers.

Methodology:

Implemented in Java with JavaFX; performs image summation, full Patlak analysis, radiomic parameter extraction, VOI selection with quantitative output, image fusion, and uses 62 lookup tables for image display.