Data-driven head motion correction for PET using time-of-flight and positron emission particle tracking techniques.

ABSTRACT:

Objectives

Positron emission tomography (PET) is susceptible to patient movement during a scan. Head motion is a continuing problem for brain PET imaging and diagnostic assessments. Physical head restraints and external motion tracking systems are most commonly used to address to this issue. Data-driven methods offer substantial advantages, such as retroactive processing but typically require manual interaction for robustness. In this work, we introduce a time-of-flight (TOF) weighted positron emission particle tracking (PEPT) algorithm that facilitates fully automated, data-driven head motion detection and subsequent automated correction of the raw listmode data.

Materials methods

We used our previously published TOF-PEPT algorithm Dustin Osborne et al. (2017), Tasmia Rahma

SUBMITTER: Tumpa TR 

PROVIDER: S-EPMC9432725 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature