Optimizing time-of-flight of PET/CT image quality via penalty β value in Bayesian penalized likelihood reconstruction...

Area of Science:

• Medical Imaging
• Nuclear Medicine
• Radiology

Background:

• Optimizing Positron Emission Tomography/Computed Tomography (PET/CT) image quality is vital for oncology.
• This study investigates the impact of time-of-flight (TOF) and varying penalty β values on PET/CT performance.

Purpose of the Study:

• To evaluate how different penalty β values affect PET/CT image quality with and without TOF reconstruction.
• To determine the optimal β values for maximizing signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR).

Main Methods:

• Used Discovery MI PET/CT scanner and NEMA IQ phantom with ¹⁸F-FDG.
• Acquired scans with and without TOF, testing β values from 100 to 3000.
• Calculated SNR and CNR using ImageJ software.

Main Results:

• Increasing β values generally improved SNR and CNR for both TOF and non-TOF images.
• At β=100, TOF enhanced SNR and CNR across all sphere sizes.
• Higher β values (≥500) with TOF reduced SNR and CNR, particularly in larger spheres.

Conclusions:

• Optimizing β values and utilizing TOF reconstruction are crucial for high-quality PET/CT imaging.
• Clinical practice should involve adjusting β values based on target region size and TOF use.