Data-Driven Segmentation and PVE Correction in MRI and PET Imaging Analysis

DESCRIPTION

This study presents a comprehensive methodology for processing and analyzing MRI and PET images through data-driven segmentation of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). We utilize a flowchart to outline the processing steps, including co-registration in Talairach space, anatomical labeling with an atlas, and correction of PET values using occupancy maps. The resulting estimated GM and WM PET images provide insights into the relative contributions of these tissues, thereby enhancing the accuracy of imaging studies and potential clinical applications.

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May 09, 2026

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Data-Driven Segmentation and PVE Correction in MRI and PET Imaging Analysis

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Presentation Transcript

PVE-out processing flowchart MR study PET Point Spread Function (PSF) Data-driven segmentation of WM, GM and CSF AC/PC coordinates Co-register segmented MRI in Talairach space Convolve 1 Labelling anatomical structures Atlas labels cross-contamination matrix calculation Co-registered labelled anatomical structures to PET Corrected PET object values PET study WM occupancy map Convolve 2 Subtract Estimate of real WM tracer concentration GM occupancy map Estimated GM PET image Map of relative contribution of WM to each PET voxel Predicted PET image of WM (virtual WM PET) Convolve 3 A B PVE corrected GM PET image Map of relative contribution of GM to each PET voxel A/B