Positron range modeling for statistical PET image reconstruction

Bing Bai, Ananya Ruangma, Richard Laforest, Yuan Chuan Tai, Richard M. Leahy

Research output: Contribution to journalConference articlepeer-review

43 Scopus citations

Abstract

Positron range is one of the factors that fundamentally limits the spatial resolution of PET images. With the higher resolution of small animal imaging systems and increased interest in using higher energy positron emitters, it is important to consider range effects when designing image reconstruction methods. The positron range distribution can be measured experimentally or calculated using approximate analytic formulae or Monte Carlo simulations. We investigate the use of this distribution within a MAP image reconstruction framework. Positron range is modeled as a blurring kernel and included as part of the forward projection matrix. We describe the use of a 3D isotropic shift-invariant blur kernel, which assumes that positrons are propagating in a homogeneous medium and is computed by Monte Carlo simulation using EGS4. We also propose a new shift-variant blurring model for positron range that accounts for spatial inhomogeneities in the positron scatter properties of the medium. Monte Carlo simulations, phantom, and animal studies with the isotopes Cu-60 and Cu-64 are presented.

Original languageEnglish
Article numberM8-7
Pages (from-to)2501-2505
Number of pages5
JournalIEEE Nuclear Science Symposium Conference Record
Volume4
StatePublished - Dec 1 2003
Event2003 IEEE Nuclear Science Symposium Conference Record - Nuclear Science Symposium, Medical Imaging Conference - Portland, OR, United States
Duration: Oct 19 2003Oct 25 2003

Fingerprint Dive into the research topics of 'Positron range modeling for statistical PET image reconstruction'. Together they form a unique fingerprint.

Cite this