Cortical flattening applied to high-resolution 18F-FDG PET.

Area of Science:

• Neuroimaging
• Radiochemistry
• Neuroscience

Background:

• Group neuroimaging studies require aligning brain structures across subjects for analysis.
• Traditional volume registration methods struggle with accurately matching cortical areas, especially with variations in brain anatomy.
• Cortical flattening offers an alternative by focusing on the 2D topology of the cortex, excluding non-cortical tissues.

Purpose of the Study:

• To evaluate the application of cortical flattening combined with MRI-to-PET registration for analyzing (18)F-FDG PET data.
• To assess the feasibility of this technique on the high-resolution research tomograph (HRRT) system.
• To determine the potential for improved group studies in human cortical glucose consumption.

Main Methods:

• Cortical flattening of coregistered MRI data.
• Application to (18)F-FDG PET scans acquired on the HRRT system.
• Surface registration of the flattened cortical sheets.

Main Results:

• Pilot study conducted on 9 control subjects, analyzing the dominant hemisphere.
• Reported average values and standard deviations of cortical metabolism.
• Provided estimates for necessary group sizes for future studies utilizing this technique.

Conclusions:

• Cortical flattening with surface registration is a feasible and promising strategy for group PET studies.
• This method achieves higher fidelity mapping of human cortical glucose consumption.
• It represents an advancement over traditional volume-based registration for neuroimaging analysis.