Evaluation of image reconstruction algorithms encompassing Time-Of-Flight and Point Spread Function modelling for...

Area of Science:

• Medical Imaging
• Nuclear Medicine
• Quantitative Analysis

Background:

• Accurate kinetic modeling in Positron Emission Tomography (PET) requires dynamic data acquired in short frames.
• Image reconstruction accuracy is crucial for reliable quantification in dynamic PET studies.
• The benefits of Time-Of-Flight (TOF) and Point Spread Function (PSF) in cardiac PET image reconstruction warrant investigation.

Purpose of the Study:

• To assess the added value of TOF and PSF in cardiac PET image reconstruction.
• To evaluate the performance of analytical and iterative reconstruction (IR) algorithms under various conditions.
• To determine the impact of TOF and PSF on quantitative accuracy and image quality.

Main Methods:

• Simulated static phantom studies for bolus passage and steady uptake.
• Simulated dynamic phantom studies with varying contrasts and cardio-respiratory motion using two radionuclides.
• Evaluation of analytical and iterative reconstruction (IR) algorithms, including those with TOF and PSF modeling.

Main Results:

• Both analytical and IR algorithms yielded good results across evaluated conditions.
• IR introduced limited bias.
• TOF improved convergence speed and reduced noise levels.
• PSF facilitated near-complete myocardial activity recovery in static conditions.
• Motion degraded performance, but TOF and PSF together maintained optimal results.

Conclusions:

• Iterative reconstruction (IR) incorporating TOF and PSF is recommended for dynamic cardiac PET quantification.
• These advanced IR techniques offer improved results over analytical and standard IR methods.
• Enhanced accuracy and robustness in cardiac PET imaging are achievable with TOF and PSF modeling.