A novel method for harmonization of PET image spatial resolution without phantoms.

ABSTRACT:

Background

Estimation of the spatial resolution in real images is extremely important in several fields, including crystallography, optics, microscopy, and tomography. In human PET imaging, estimating spatial resolution typically involves the acquisition of images from a physical phantom, typically a Hoffman phantom, which poses a logistical burden, especially in large multi-center studies. Indeed, phantom images may not always be readily available, and this method requires constant monitoring of scanner updates or replacements, scanning protocol changes, and image reconstruction guidelines to establish a equivalence with scans acquired from human subjects.

Methods

We propose a new computational approach that allows estimation of spatial resolution directly from human subjec

SUBMITTER: Carbonell F 

PROVIDER: S-EPMC11906943 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature