Image reconstruction method for dual-isotope positron emission tomography

TL;DR

This paper introduces a novel image reconstruction method for dual-isotope PET imaging that effectively isolates pure positron emitter images by using data subtraction techniques with activity-dependent correction, enabling practical in vivo imaging.

Contribution

The study develops and validates a data subtraction-based reconstruction method with activity correction for dual-isotope PET, improving image quality of pure positron emitters.

Findings

Data subtraction in sinogram data yields higher quality images.

Sensitivity correction enhances image isolation accuracy.

Method successfully applied to dual-isotope mouse imaging.

Abstract

We developed a positron emission tomography (PET) system for multiple-isotope imaging. Our PET system, named multiple-isotope PET (MI-PET), can distinguish between different tracer nuclides using coincidence measurement of prompt gamma-rays, which are emitted after positron emission. In MI-PET imaging with a pure positron emitter and prompt-gamma emitter, because of the imperfectness of prompt gamma-ray detection, an image for a pure positron emitter taken by MI-PET is superposed by a positron-{\gamma} emitter. Therefore, in order to make isolated images of the pure positron emitter, we developed image reconstruction methods based on data subtraction specific to MI-PET. We tested two methods, subtraction between reconstructed images and subtraction between sinogram data. In both methods, normalization for position dependence of the prompt {\gamma}-ray sensitivity is required in addition to detector sensitivity normalization. For these normalizations, we performed normalization scans using cylindrical phantoms of the positron-gamma emitters Sc-44m and Na-22. A long period measurement using the activity decay of Sc-44m (Half-life 58.6 hours) elucidated that the acquisition ratio between the prompt gamma-rays coincided with PET event and pure PET event changes on the basis of object activities. Therefore, we developed a correction method that involves subtraction parameters dependent on the activities, i.e., the counting rate. From analysis of dual-tracer phantom images, data subtraction in the sinogram data with sensitivity correction gives a higher quality of isolated images for the pure positron emitter than those from image subtractions. Furthermore, from dual-isotope (F-18-FDG and Sc-44m) mouse imaging, we concluded that our developed method can be used for practical imaging of a living organism.