High Resolution Image Reconstruction Method for a Double-plane PET System with Changeable Spacing

TL;DR

This paper presents a high-resolution image reconstruction method for double-plane PET systems with adjustable spacing, improving image clarity and contrast recovery without increasing noise, especially useful for breast tumor detection.

Contribution

The study introduces a real-time geometric and blurring component modeling approach tailored for variable spacing double-plane PET systems, enhancing resolution and image quality.

Findings

Improved sensitivity modeling with a tube area model.

Enhanced contrast recovery with blurring effects included.

Lower voxel-level noise variance at matched resolution.

Abstract

Positron Emission Mammography (PEM) imaging systems with the ability in detection of millimeter-sized tumors were developed in recent years. And some of them have been well used in clinical applications. In consideration of biopsy application, a double-plane detector configuration is practical for the convenience of breast immobilization. However, the serious blurring effect in the double-plane system with changeable spacing for different breast size should be studied. Methods: We study a high resolution reconstruction method applicable for a double-plane PET system with a changeable detector spacing. Geometric and blurring components should be calculated at real time for different detector distance. Accurate geometric sensitivity is obtained with a tube area model. Resolution recovery is achieved by estimating blurring effects derived from simulated single gamma response information. Results: The results show that the new geometric modeling gives a more finite and smooth sensitivity weight in double-plane system. The blurring component yields contrast recovery levels that could not be reached without blurring modeling, as well as better visual recovery of the smallest spheres and better delineation of the structures in the reconstructed images. Statistical noise has lower variance at the voxel level with blurring modeling than without at matched resolution. Conclusion: In the distance-changeable double-plane PET, the finite resolution modeling during reconstruction achieves resolution recovery, without noise amplification.